Failure to do so will be a grave injustice to math enthusistists everywhere!!!

Size: px
Start display at page:

Download "Failure to do so will be a grave injustice to math enthusistists everywhere!!!"

Transcription

1 Tomorrow is Pi Day In order to honor Pi Day, we must prove the average measure of our circular objects is To do this...we must have the following items: circular plates (20) Circular cups (20) 12 cans/bottles of beverage (to be shared or 24) and hopefully one from each category: Cookies, pies, cake/ cup cakes, candy, Any food that is circular. Failure to do so will be a grave injustice to math enthusistists everywhere!!! 1

2 2

3 3

4 3/14 AP STATS Warm up: Happy Pi Day! Please place all supplies on front or side table. EQ: How can you proof the value of PI using means? HW: Read Chapter 24 4

5 March 14, 2012 HW: None EQ: How can you proof the value of PI using means? Stats Pi DAY 1. Get in to groups of 2 or Create your Ho and Ha to show evidence that circular object are similar to We will pass out the objects for you to calculate the circumference and diameters of each. 4. Once all the calculations are done we will run the test. 5. After we show evidence that there is some truth to then we can eat the evidence. EATING BEFORE STEP 5 is an automatic F...no make ups. 5

6 Ho: Ha: Assumptions: Random: Nearly normal: Test performed: t score: Df: P value: Conclusion: Extension: Find the confidence interval at 90%. Is inside that interval? 6

7 3/15 AP STATS Warm up: Name an instance where you could use a t test. EQ: How does a 2 sample t test work? HW: HW: Pg 566 #5, 8, 23, 32 Pg 586 #2, 7, 8, 11, 12 7

8 3/15/12 HW: Pg 566 #5, 8, 23, 32 Pg 586 #2, 7, 8, 11, 12 Comparing two means: Notation Review: EQ: How does a 2 sample t test work? Chapter 24: Day 1 Typically used during experiments Population: μ, σ, SD Sample: y, s, SE Differences of means: Population: μ1 μ2 Observed Samples: 8

9 Previously: Standard deviations: If the data is independent and random, we can add the variances (σ 2 +σ 2 ) 1 2 Population: Sample: 9

10 2 Sample T Interval: ME= t * xse Confidence levels Calculator: Stats Tests 0: 2 samptint If you have the statistics: If you have a table of data: 10

11 Ex. 1) Using Data Battery life span in minutes L1= name brand L2= generic Find the interval that the battery lasts with 95% confidence. L1 (x) = L1 (s) = (, ) L2 (x) = L2 (s) = From these samples, with the confidence of %. The life span of name brand compared to generic brand will last from to. 11

12 Ex. 2) Using Data Core Plus Mathematics Project Background info: It was a study conducted to compare students using technology in Algebra to students who did not use technology. X1= X2= Confidence %= 90% P value: t score: df: (, ) Conclusion: 12

13 Two sample T test: H o and H A t score: ) More notation: Δo = delta naught or the difference of the means Calculator: Stats Test 4: 2 sampttest Sample below used battery data: Results: 13

14 Ex. 3) 2 sample t test using data: Camera Prices Gathering information...decide is there a difference in price if selling between friends and strangers? Ho: Ha: Sample 1: Friends Sample 2: Strangers n= 8 n= 7 x= $ x= $ s= $18.31 s= $46.43 Assumptions: Groups independent: Random: Nearly normal: T score: Df: p value: Conclusion: 14

15 Pooling revisited: When the variances are equivalent, you can pool the variances. AKA the range is the same. If done, this would be considered a pooled t test. Pros: simple degree of freedom formula n 1 + n 2 2 Cons: an extra assumption: Equal Variance Assumption: Is variance 1 σ 2 = variance 2 σ 2? To check without statistics, make a box plot. (box and whisker plot.) Calculator Review Using Battery Example: Stat edit put name in L1 and generic in L2. 2nd y= turn plot on and highlight boxplot. 15

16 Well, are they the same range? If you can't tell, change the window. Window Xscl 20 Pooling is optional. If not sure, don't use it. It doesn't change much. If you want more info. Read the book. 16

17 Last important item: df of two means lies between (n smaller 1) and (n 1 +n 2 2) The formula is on page 549. Summary: df= 17

18 3/16 AP STATS Warm up: What is pooling? EQ: Explain a paired T test? HW: HW: Pg 566 #5, 8, 23, 32 Pg 586 #2, 7, 8, 11, 12 18

19 3/16/12 HW: Pg 566 #5, 8, 23, 32 Pg 586 #2, 7, 8, 11, 12 Paired T test EQ: Explain a paired T test? Chapter 25: Day 2 Typically, one subject recorded in two separate occasions. The data is NOT independent of each other. Before and After situations (Think weight loss commercials) Data is collected on each subject and a difference is calculated. 19

20 Tips: If in an experiment, it's called "blocking". If it's an observational study, it's called "matched". Assumptions: Independence: No independence... Random: Please check...else we need to conclude that it's only valid for the sample given. 10% condition (is back): is it less than 10% of the focused population. Nearly normal: Are the differences normal? Again use a histogram if samples are smaller than

21 Ho/Ha: Same as previously mentioned... Ho: μd = Δo In other words...mean difference = 0 Ha: μd Δo or μd > Δo or μd < Δo Formulas: t n 1 = d Δo SE ( d ) where d bar = average pairwise difference SE ( d ) = s d n Margin of error (for confidence intervals) : d ± tn-1 x SE(d) 21

22 Ex. 4) Confidence interval: Exercise Average minutes women took to burn 200 calories. Run a confidence interval at 95% of how much longer it took women to work out at light exertion compared to hard exertion. 22

23 Ex. 5) Paired t test: Brakes A tire manufacture tested stopping distances for a specific tire model. To test the car made repeated stops after going speeds of 60 mph. The test was done on wet and dry land. Does the stopping distance vary between wet and dry. 23

24 In groups of 2, Grab a book...turn to page 583 Work through the 5 just checking questions. Due Monday. REMINDER ALL MAKE UP WORK DUE MONDAY! 24

25 3/19 AP STATS Warm up: What is 1 major difference between 2 sample t test and a paired t test? EQ: Explain a paired T test? HW: HW: Pg 566 #5, 8, 23, 32 Pg 586 #2, 7, 8, 11, 12 Due Tuesday. 25

26 26

27 27

28 3/20 AP STATS Warm up: Get out your review EQ: Explain a paired T test? HW: HW: Pg 566 #5, 8, 23, 32 Pg 586 #2, 7, 8, 11, 12 Due Tuesday. 28

29 29

30 30

31 31

32 32

33 33

34 3/21 AP STATS Warm up: You have 8 minutes to review EQ: Explain a paired T test? HW: Read chapter 26 34

35 35

Chapter 23: Inferences About Means

Chapter 23: Inferences About Means Chapter 3: Inferences About Means Sample of Means: number of observations in one sample the population mean (theoretical mean) sample mean (observed mean) is the theoretical standard deviation of the population

More information

value mean standard deviation

value mean standard deviation Mr. Murphy AP Statistics 2.4 The Empirical Rule and z - Scores HW Pg. 208 #4.45 (a) - (c), 4.46, 4.51, 4.52, 4.73 Objectives: 1. Calculate a z score. 2. Apply the Empirical Rule when appropriate. 3. Calculate

More information

hypotheses. P-value Test for a 2 Sample z-test (Large Independent Samples) n > 30 P-value Test for a 2 Sample t-test (Small Samples) n < 30 Identify α

hypotheses. P-value Test for a 2 Sample z-test (Large Independent Samples) n > 30 P-value Test for a 2 Sample t-test (Small Samples) n < 30 Identify α Chapter 8 Notes Section 8-1 Independent and Dependent Samples Independent samples have no relation to each other. An example would be comparing the costs of vacationing in Florida to the cost of vacationing

More information

AMS7: WEEK 7. CLASS 1. More on Hypothesis Testing Monday May 11th, 2015

AMS7: WEEK 7. CLASS 1. More on Hypothesis Testing Monday May 11th, 2015 AMS7: WEEK 7. CLASS 1 More on Hypothesis Testing Monday May 11th, 2015 Testing a Claim about a Standard Deviation or a Variance We want to test claims about or 2 Example: Newborn babies from mothers taking

More information

Algebra Calculator Skills Inventory Solutions

Algebra Calculator Skills Inventory Solutions Algebra Calculator Skills Inventory Solutions 1. The equation P = 1.25x 15 represents the profit in dollars when x widgets are sold. Find the profit if 450 widgets are sold. A. $427.50 B. $697.50 C. $562.50

More information

Learning Plan 09. Question 1. Question 2. Question 3. Question 4. What is the difference between the highest and lowest data values in a data set?

Learning Plan 09. Question 1. Question 2. Question 3. Question 4. What is the difference between the highest and lowest data values in a data set? Learning Plan 09 Question 1 What is the difference between the highest and lowest data values in a data set? The difference is called range. (p. 794) Question 2 Measures of Dispersion. Read the answer

More information

Chapter 9: How can I tell if scores differ between three or more groups? One-way independent measures ANOVA.

Chapter 9: How can I tell if scores differ between three or more groups? One-way independent measures ANOVA. Chapter 9: How can I tell if scores differ between three or more groups? One-way independent measures ANOVA. Full answers to study questions 1. Familywise error as a result of conducting multiple t tests.

More information

Chapter 24. Comparing Means

Chapter 24. Comparing Means Chapter 4 Comparing Means!1 /34 Homework p579, 5, 7, 8, 10, 11, 17, 31, 3! /34 !3 /34 Objective Students test null and alternate hypothesis about two!4 /34 Plot the Data The intuitive display for comparing

More information

One box per group ( star group of 6)

One box per group ( star group of 6) 4 markers 2 erasers One box per group ( star group of 6) 1 pencil (just in case) Some small post-it notes 1 glue stick One person from each group collect all items and place them back into the box. Concept

More information

FOUNDATIONS OF FUNCTIONS

FOUNDATIONS OF FUNCTIONS Cost FOUNDATIONS OF FUNCTIONS MULTIPLE REPRESENTATIONS Verbal Description: A pizza place charges $ for a cheese pizza and an additional $.5 for each topping. Equation: c = +.5t (c = cost and t = toppings)

More information

Sem. 1 Review Ch. 1-3

Sem. 1 Review Ch. 1-3 AP Stats Sem. 1 Review Ch. 1-3 Name 1. You measure the age, marital status and earned income of an SRS of 1463 women. The number and type of variables you have measured is a. 1463; all quantitative. b.

More information

Using SPSS for One Way Analysis of Variance

Using SPSS for One Way Analysis of Variance Using SPSS for One Way Analysis of Variance This tutorial will show you how to use SPSS version 12 to perform a one-way, between- subjects analysis of variance and related post-hoc tests. This tutorial

More information

Chapter 9. Inferences from Two Samples. Objective. Notation. Section 9.2. Definition. Notation. q = 1 p. Inferences About Two Proportions

Chapter 9. Inferences from Two Samples. Objective. Notation. Section 9.2. Definition. Notation. q = 1 p. Inferences About Two Proportions Chapter 9 Inferences from Two Samples 9. Inferences About Two Proportions 9.3 Inferences About Two s (Independent) 9.4 Inferences About Two s (Matched Pairs) 9.5 Comparing Variation in Two Samples Objective

More information

Battery Life. Factory

Battery Life. Factory Statistics 354 (Fall 2018) Analysis of Variance: Comparing Several Means Remark. These notes are from an elementary statistics class and introduce the Analysis of Variance technique for comparing several

More information

Business Statistics. Lecture 5: Confidence Intervals

Business Statistics. Lecture 5: Confidence Intervals Business Statistics Lecture 5: Confidence Intervals Goals for this Lecture Confidence intervals The t distribution 2 Welcome to Interval Estimation! Moments Mean 815.0340 Std Dev 0.8923 Std Error Mean

More information

Difference between means - t-test /25

Difference between means - t-test /25 Difference between means - t-test 1 Discussion Question p492 Ex 9-4 p492 1-3, 6-8, 12 Assume all variances are not equal. Ignore the test for variance. 2 Students will perform hypothesis tests for two

More information

Printed Name: Section #: Instructor:

Printed Name: Section #: Instructor: Printed Name: Section #: Instructor: Please do not ask questions during this eam. If you consider a question to be ambiguous, state your assumptions in the margin and do the best you can to provide the

More information

Analyzing Lines of Fit

Analyzing Lines of Fit 4.5 Analyzing Lines of Fit Essential Question How can you analytically find a line of best fit for a scatter plot? Finding a Line of Best Fit Work with a partner. The scatter plot shows the median ages

More information

ALGEBRA 1 SEMESTER 1 INSTRUCTIONAL MATERIALS Courses: Algebra 1 S1 (#2201) and Foundations in Algebra 1 S1 (#7769)

ALGEBRA 1 SEMESTER 1 INSTRUCTIONAL MATERIALS Courses: Algebra 1 S1 (#2201) and Foundations in Algebra 1 S1 (#7769) Multiple Choice: Identify the choice that best completes the statement or answers the question. 1. Ramal goes to the grocery store and buys pounds of apples and pounds of bananas. Apples cost dollars per

More information

Stat 529 (Winter 2011) Experimental Design for the Two-Sample Problem. Motivation: Designing a new silver coins experiment

Stat 529 (Winter 2011) Experimental Design for the Two-Sample Problem. Motivation: Designing a new silver coins experiment Stat 529 (Winter 2011) Experimental Design for the Two-Sample Problem Reading: 2.4 2.6. Motivation: Designing a new silver coins experiment Sample size calculations Margin of error for the pooled two sample

More information

Math 141:512. Practice Exam 1 (extra credit) Due: February 6, 2019

Math 141:512. Practice Exam 1 (extra credit) Due: February 6, 2019 Math 141:512 Due: February 6, 2019 Practice Exam 1 (extra credit) This is an open book, extra credit practice exam which covers the material that Exam 1 will cover (Sections 1.3, 1.4, 2.1, 2.2, 2.3, 2.4,

More information

Chapter 20 Comparing Groups

Chapter 20 Comparing Groups Chapter 20 Comparing Groups Comparing Proportions Example Researchers want to test the effect of a new anti-anxiety medication. In clinical testing, 64 of 200 people taking the medicine reported symptoms

More information

Using Graphs to Relate Two Quantities

Using Graphs to Relate Two Quantities - Think About a Plan Using Graphs to Relate Two Quantities Skiing Sketch a graph of each situation. Are the graphs the same? Explain. a. your speed as you travel from the bottom of a ski slope to the top

More information

STA Module 11 Inferences for Two Population Means

STA Module 11 Inferences for Two Population Means STA 2023 Module 11 Inferences for Two Population Means Learning Objectives Upon completing this module, you should be able to: 1. Perform inferences based on independent simple random samples to compare

More information

STA Rev. F Learning Objectives. Two Population Means. Module 11 Inferences for Two Population Means

STA Rev. F Learning Objectives. Two Population Means. Module 11 Inferences for Two Population Means STA 2023 Module 11 Inferences for Two Population Means Learning Objectives Upon completing this module, you should be able to: 1. Perform inferences based on independent simple random samples to compare

More information

Algebra: Chapter 3 Notes

Algebra: Chapter 3 Notes Algebra Homework: Chapter 3 (Homework is listed by date assigned; homework is due the following class period) HW# Date In-Class Homework 16 F 2/21 Sections 3.1 and 3.2: Solving and Graphing One-Step Inequalities

More information

Ch 11- One Way Analysis of Variance

Ch 11- One Way Analysis of Variance Multiple Choice Questions Ch 11- One Way Analysis of Variance Use the following to solve questions 1 &. Suppose n = 8 and there are 4 groups, how many between groups (samples) degrees of freedom are there?

More information

Math 3 Variable Manipulation Part 1 Algebraic Systems

Math 3 Variable Manipulation Part 1 Algebraic Systems Math 3 Variable Manipulation Part 1 Algebraic Systems 1 PRE ALGEBRA REVIEW OF INTEGERS (NEGATIVE NUMBERS) Concept Example Adding positive numbers is just simple addition 2 + 3 = 5 Subtracting positive

More information

AP Statistics Bivariate Data Analysis Test Review. Multiple-Choice

AP Statistics Bivariate Data Analysis Test Review. Multiple-Choice Name Period AP Statistics Bivariate Data Analysis Test Review Multiple-Choice 1. The correlation coefficient measures: (a) Whether there is a relationship between two variables (b) The strength of the

More information

Algebra 2 CP Semester 1 PRACTICE Exam

Algebra 2 CP Semester 1 PRACTICE Exam Algebra 2 CP Semester 1 PRACTICE Exam NAME DATE HR You may use a calculator. Please show all work directly on this test. You may write on the test. GOOD LUCK! THIS IS JUST PRACTICE GIVE YOURSELF 45 MINUTES

More information

Lesson 9: Analyzing Standard Deviation

Lesson 9: Analyzing Standard Deviation Exploratory Challenge 1 - Analyzing Standard Deviation 1. A group of people attended a talk at a conference. At the end of the talk, ten of the attendees were given a questionnaire that consisted of four

More information

Homework 4 Math 11, UCSD, Winter 2018 Due on Tuesday, 13th February

Homework 4 Math 11, UCSD, Winter 2018 Due on Tuesday, 13th February PID: Last Name, First Name: Section: Approximate time spent to complete this assignment: hour(s) Homework 4 Math 11, UCSD, Winter 2018 Due on Tuesday, 13th February Readings: Chapters 16.6-16.7 and the

More information

ANOVA - analysis of variance - used to compare the means of several populations.

ANOVA - analysis of variance - used to compare the means of several populations. 12.1 One-Way Analysis of Variance ANOVA - analysis of variance - used to compare the means of several populations. Assumptions for One-Way ANOVA: 1. Independent samples are taken using a randomized design.

More information

ANOVA Situation The F Statistic Multiple Comparisons. 1-Way ANOVA MATH 143. Department of Mathematics and Statistics Calvin College

ANOVA Situation The F Statistic Multiple Comparisons. 1-Way ANOVA MATH 143. Department of Mathematics and Statistics Calvin College 1-Way ANOVA MATH 143 Department of Mathematics and Statistics Calvin College An example ANOVA situation Example (Treating Blisters) Subjects: 25 patients with blisters Treatments: Treatment A, Treatment

More information

Notes slides from before lecture. CSE 21, Winter 2017, Section A00. Lecture 16 Notes. Class URL:

Notes slides from before lecture. CSE 21, Winter 2017, Section A00. Lecture 16 Notes. Class URL: Notes slides from before lecture CSE 21, Winter 2017, Section A00 Lecture 16 Notes Class URL: http://vlsicad.ucsd.edu/courses/cse21-w17/ Notes slides from before lecture Notes March 8 (1) This week: Days

More information

Chapter 10: STATISTICAL INFERENCE FOR TWO SAMPLES. Part 1: Hypothesis tests on a µ 1 µ 2 for independent groups

Chapter 10: STATISTICAL INFERENCE FOR TWO SAMPLES. Part 1: Hypothesis tests on a µ 1 µ 2 for independent groups Chapter 10: STATISTICAL INFERENCE FOR TWO SAMPLES Part 1: Hypothesis tests on a µ 1 µ 2 for independent groups Sections 10-1 & 10-2 Independent Groups It is common to compare two groups, and do a hypothesis

More information

Chapter 24. Comparing Means. Copyright 2010 Pearson Education, Inc.

Chapter 24. Comparing Means. Copyright 2010 Pearson Education, Inc. Chapter 24 Comparing Means Copyright 2010 Pearson Education, Inc. Plot the Data The natural display for comparing two groups is boxplots of the data for the two groups, placed side-by-side. For example:

More information

1. Create a scatterplot of this data. 2. Find the correlation coefficient.

1. Create a scatterplot of this data. 2. Find the correlation coefficient. How Fast Foods Compare Company Entree Total Calories Fat (grams) McDonald s Big Mac 540 29 Filet o Fish 380 18 Burger King Whopper 670 40 Big Fish Sandwich 640 32 Wendy s Single Burger 470 21 1. Create

More information

CS 1538: Introduction to Simulation Homework 1

CS 1538: Introduction to Simulation Homework 1 CS 1538: Introduction to Simulation Homework 1 1. A fair six-sided die is rolled three times. Let X be a random variable that represents the number of unique outcomes in the three tosses. For example,

More information

Algebra 1 Keystone Remediation Packet Module 1 Anchor 2

Algebra 1 Keystone Remediation Packet Module 1 Anchor 2 Algebra 1 Keystone Remediation Packet Module 1 Anchor 2 A.1.1.2.1.1 Write, solve, and/or graph linear equations using various methods. A.1.1.2.1.2 Use and/or identify an algebraic property to justify any

More information

Describing Distributions With Numbers

Describing Distributions With Numbers Describing Distributions With Numbers October 24, 2012 What Do We Usually Summarize? Measures of Center. Percentiles. Measures of Spread. A Summary Statement. Choosing Numerical Summaries. 1.0 What Do

More information

Lecture 10: Comparing two populations: proportions

Lecture 10: Comparing two populations: proportions Lecture 10: Comparing two populations: proportions Problem: Compare two sets of sample data: e.g. is the proportion of As in this semester 152 the same as last Fall? Methods: Extend the methods introduced

More information

Inferences about Means

Inferences about Means Inferences about Means Keith Thompson Department of Mathematics and Statistics Department of Oceanography February 23, 2012 ( ) February 23, 2012 1 / 58 Information on the Instructor Instructor Departments

More information

SMAM 314 Practice Final Examination Winter 2003

SMAM 314 Practice Final Examination Winter 2003 SMAM 314 Practice Final Examination Winter 2003 You may use your textbook, one page of notes and a calculator. Please hand in the notes with your exam. 1. Mark the following statements True T or False

More information

CIVL 7012/8012. Collection and Analysis of Information

CIVL 7012/8012. Collection and Analysis of Information CIVL 7012/8012 Collection and Analysis of Information Uncertainty in Engineering Statistics deals with the collection and analysis of data to solve real-world problems. Uncertainty is inherent in all real

More information

Descriptive Statistics: cal. Is it reasonable to use a t test to test hypotheses about the mean? Hypotheses: Test Statistic: P value:

Descriptive Statistics: cal. Is it reasonable to use a t test to test hypotheses about the mean? Hypotheses: Test Statistic: P value: 1. Many consumers pay careful attention to stated nutritional contents on packaged foods when making purchases. It is therefore important that the information be accurate. A random sample of n = 12 frozen

More information

Objective: Recognize halves within a circular clock face and tell time to the half hour. (60 minutes) (2 minutes) (5 minutes)

Objective: Recognize halves within a circular clock face and tell time to the half hour. (60 minutes) (2 minutes) (5 minutes) Lesson 11 1 Lesson 11 Objective: Recognize halves within a circular clock face and tell time to the half Suggested Lesson Structure Fluency Practice Application Problem Concept Development Student Debrief

More information

AP Statistics - Chapter 2A Extra Practice

AP Statistics - Chapter 2A Extra Practice AP Statistics - Chapter 2A Extra Practice 1. A study is conducted to determine if one can predict the yield of a crop based on the amount of yearly rainfall. The response variable in this study is A) yield

More information

1.1 Create and Analyze Graphs

1.1 Create and Analyze Graphs Distance from house (m) 1.1 Create and Analyze Graphs Write your questions here! FRO YO! Make your own frozen yogurt! weight Price (ounces) ($) NOTES INDEPENDENT VARIABLE = DEPENDENT VARIABLE = TRY IT!

More information

6. Cold U? Max = 51.8 F Range = 59.4 F Mean = 33.8 F s = 12.6 F med = 35.6 F IQR = 28.8 F

6. Cold U? Max = 51.8 F Range = 59.4 F Mean = 33.8 F s = 12.6 F med = 35.6 F IQR = 28.8 F AP Stat Ch. 6 Practice Worksheet - KEY BOOK PROBLEMS: p. 129 #2-24 even 2. Hotline a) Median = 264 seconds IQR = 138 seconds b) Median = 240 seconds IQR = 138 seconds 4. Hams a) Range = 3.3 lbs. IQR =

More information

# of 6s # of times Test the null hypthesis that the dice are fair at α =.01 significance

# of 6s # of times Test the null hypthesis that the dice are fair at α =.01 significance Practice Final Exam Statistical Methods and Models - Math 410, Fall 2011 December 4, 2011 You may use a calculator, and you may bring in one sheet (8.5 by 11 or A4) of notes. Otherwise closed book. The

More information

Minnesota Comprehensive Assessments-Series III

Minnesota Comprehensive Assessments-Series III Name Minnesota Comprehensive Assessments-Series III Mathematics Item Sampler Grade 7 ITEM SAMPLERS ARE NOT SECURE TEST MATERIALS. THIS ITEM SAMPLER TEST BOOK MAY BE COPIED OR DUPLICATED. State of Minnesota

More information

Aim #92: How do we interpret and calculate deviations from the mean? How do we calculate the standard deviation of a data set?

Aim #92: How do we interpret and calculate deviations from the mean? How do we calculate the standard deviation of a data set? Aim #92: How do we interpret and calculate deviations from the mean? How do we calculate the standard deviation of a data set? 5-1-17 Homework: handout Do Now: Using the graph below answer the following

More information

ECN221 Exam 1 VERSION B Fall 2017 (Modules 1-4), ASU-COX VERSION B

ECN221 Exam 1 VERSION B Fall 2017 (Modules 1-4), ASU-COX VERSION B ECN221 Exam 1 VERSION B Fall 2017 (Modules 1-4), ASU-COX VERSION B Choose the best answer. Do not write letters in the margin or communicate with other students in any way; if you do you will receive a

More information

Writing and Solving Equations

Writing and Solving Equations Writing and Solving Equations Melody s Music Solution Lesson 6-1 Modeling and Writing Two-Step Equations ACTIVITY 6 Learning Targets: Use variables to represent quantities in real-world problems. Model

More information

Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual

Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual Question 1. Suppose you want to estimate the percentage of

More information

12.10 (STUDENT CD-ROM TOPIC) CHI-SQUARE GOODNESS- OF-FIT TESTS

12.10 (STUDENT CD-ROM TOPIC) CHI-SQUARE GOODNESS- OF-FIT TESTS CDR4_BERE601_11_SE_C1QXD 1//08 1:0 PM Page 1 110: (Student CD-ROM Topic) Chi-Square Goodness-of-Fit Tests CD1-1 110 (STUDENT CD-ROM TOPIC) CHI-SQUARE GOODNESS- OF-FIT TESTS In this section, χ goodness-of-fit

More information

Describing Distributions With Numbers Chapter 12

Describing Distributions With Numbers Chapter 12 Describing Distributions With Numbers Chapter 12 May 1, 2013 What Do We Usually Summarize? Measures of Center. Percentiles. Measures of Spread. A Summary. 1.0 What Do We Usually Summarize? source: Prof.

More information

STAT 201 Assignment 6

STAT 201 Assignment 6 STAT 201 Assignment 6 Partial Solutions 12.1 Research question: Do parents in the school district support the new education program? Parameter: p = proportion of all parents in the school district who

More information

Confidence Intervals for Two Means

Confidence Intervals for Two Means Confidence Intervals for Two Means Section 7.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Office in Fleming 11c Department of Mathematics University of Houston Lecture 21-2311 Cathy Poliak, Ph.D. cathy@math.uh.edu

More information

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 9.7, median = 8, mode =15

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 9.7, median = 8, mode =15 Class: Date: Unit 2 Pretest Find the mean, median, and mode of the data set. Round to the nearest tenth. 1. 2, 10, 6, 9, 1, 15, 11, 10, 15, 13, 15 a. mean = 9.7, median = 10, mode = 15 b. mean = 8.9, median

More information

Instructional Materials for WCSD Math Common Finals

Instructional Materials for WCSD Math Common Finals Instructional Materials for WCSD Math Common Finals The Instructional Materials are for student and teacher use and are aligned to the Course Guides for the following courses: High School Algebra 1 S1

More information

PHYSICS 15a, Fall 2006 SPEED OF SOUND LAB Due: Tuesday, November 14

PHYSICS 15a, Fall 2006 SPEED OF SOUND LAB Due: Tuesday, November 14 PHYSICS 15a, Fall 2006 SPEED OF SOUND LAB Due: Tuesday, November 14 GENERAL INFO The goal of this lab is to determine the speed of sound in air, by making measurements and taking into consideration the

More information

TOPIC: Descriptive Statistics Single Variable

TOPIC: Descriptive Statistics Single Variable TOPIC: Descriptive Statistics Single Variable I. Numerical data summary measurements A. Measures of Location. Measures of central tendency Mean; Median; Mode. Quantiles - measures of noncentral tendency

More information

Stat 500 Midterm 2 8 November 2007 page 0 of 4

Stat 500 Midterm 2 8 November 2007 page 0 of 4 Stat 500 Midterm 2 8 November 2007 page 0 of 4 Please put your name on the back of your answer book. Do NOT put it on the front. Thanks. DO NOT START until I tell you to. You are welcome to read this front

More information

Solving and Graphing Linear Inequalities Chapter Questions. 2. Explain the steps to graphing an inequality on a number line.

Solving and Graphing Linear Inequalities Chapter Questions. 2. Explain the steps to graphing an inequality on a number line. Solving and Graphing Linear Inequalities Chapter Questions 1. How do we translate a statement into an inequality? 2. Explain the steps to graphing an inequality on a number line. 3. How is solving an inequality

More information

Chapter 10 Study Guide The Mole Section 10 1

Chapter 10 Study Guide The Mole Section 10 1 Chapter 10 Study Guide The Mole Section 10 1 Measuring Matter The electron configuration of hydrogen is like that of Group 1 metals. 4. Study Guide - Chapter 10 The Mole Section 10.1 Measuring Matter 1.

More information

Section 7.2 Homework Answers

Section 7.2 Homework Answers 25.5 30 Sample Mean P 0.1226 sum n b. The two z-scores are z 25 20(1.7) n 1.0 20 sum n 2.012 and z 30 20(1.7) n 1.0 0.894, 20 so the probability is approximately 0.1635 (0.1645 using Table A). P14. a.

More information

Kansas City Area Teachers of Mathematics 2015 KCATM Math Competition NUMBER SENSE GRADE 6 NO CALCULATOR

Kansas City Area Teachers of Mathematics 2015 KCATM Math Competition NUMBER SENSE GRADE 6 NO CALCULATOR Kansas City Area Teachers of Mathematics 2015 KCATM Math Competition NUMBER SENSE GRADE 6 NO CALCULATOR INSTRUCTIONS Do not open this booklet until instructed to do so. Time limit: 20 minutes You may NOT

More information

Data set B is 2, 3, 3, 3, 5, 8, 9, 9, 9, 15. a) Determine the mean of the data sets. b) Determine the median of the data sets.

Data set B is 2, 3, 3, 3, 5, 8, 9, 9, 9, 15. a) Determine the mean of the data sets. b) Determine the median of the data sets. FOUNDATIONS OF MATH 11 Ch. 5 Day 1: EXPLORING DATA VOCABULARY A measure of central tendency is a value that is representative of a set of numerical data. These values tend to lie near the middle of a set

More information

1. The (dependent variable) is the variable of interest to be measured in the experiment.

1. The (dependent variable) is the variable of interest to be measured in the experiment. Chapter 10 Analysis of variance (ANOVA) 10.1 Elements of a designed experiment 1. The (dependent variable) is the variable of interest to be measured in the experiment. 2. are those variables whose effect

More information

2/22/2019 NEW UNIT! Chemical Interactions. Atomic Basics #19

2/22/2019 NEW UNIT! Chemical Interactions. Atomic Basics #19 NEW UNIT! Chemical Interactions Atomic Basics #19 1 Vocabulary: Matter: Anything that has mass and takes up space. Atom: the smallest particle of matter. Element: A pure substance made up of only one type

More information

Note: k = the # of conditions n = # of data points in a condition N = total # of data points

Note: k = the # of conditions n = # of data points in a condition N = total # of data points The ANOVA for2 Dependent Groups -- Analysis of 2-Within (or Matched)-Group Data with a Quantitative Response Variable Application: This statistic has two applications that can appear very different, but

More information

Chapter 2 Solutions Page 15 of 28

Chapter 2 Solutions Page 15 of 28 Chapter Solutions Page 15 of 8.50 a. The median is 55. The mean is about 105. b. The median is a more representative average" than the median here. Notice in the stem-and-leaf plot on p.3 of the text that

More information

METEO 431: Atmospheric Thermodynamics

METEO 431: Atmospheric Thermodynamics METEO 431: Atmospheric Thermodynamics Example Test #1 (100 points) INSTRUCTIONS: Please write as legibly as you can and make sure your thoughts are organized. What I am looking for is your understanding

More information

Business Statistics Midterm Exam Fall 2015 Russell. Please sign here to acknowledge

Business Statistics Midterm Exam Fall 2015 Russell. Please sign here to acknowledge Business Statistics Midterm Exam Fall 5 Russell Name Do not turn over this page until you are told to do so. You will have hour and 3 minutes to complete the exam. There are a total of points divided into

More information

Midterm 1 and 2 results

Midterm 1 and 2 results Midterm 1 and 2 results Midterm 1 Midterm 2 ------------------------------ Min. :40.00 Min. : 20.0 1st Qu.:60.00 1st Qu.:60.00 Median :75.00 Median :70.0 Mean :71.97 Mean :69.77 3rd Qu.:85.00 3rd Qu.:85.0

More information

Nov 13 AP STAT. 1. Check/rev HW 2. Review/recap of notes 3. HW: pg #5,7,8,9,11 and read/notes pg smartboad notes ch 3.

Nov 13 AP STAT. 1. Check/rev HW 2. Review/recap of notes 3. HW: pg #5,7,8,9,11 and read/notes pg smartboad notes ch 3. Nov 13 AP STAT 1. Check/rev HW 2. Review/recap of notes 3. HW: pg 179 184 #5,7,8,9,11 and read/notes pg 185 188 1 Chapter 3 Notes Review Exploring relationships between two variables. BIVARIATE DATA Is

More information

Design and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras

Design and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras Design and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras Lecture - 31 Fibonacci search method So, I am continuing with our treatment

More information

June Dear Future Algebra 2 Trig Student,

June Dear Future Algebra 2 Trig Student, June 016 Dear Future Algebra Trig Student, Welcome to Algebra /Trig! Since we have so very many topics to cover during our 016-17 school year, it is important that each one of you is able to complete these

More information

Be sure to pledge your exam booklet and put your name on it.

Be sure to pledge your exam booklet and put your name on it. Final for CpE/EE 34 Modeling and Simulation Exam number: Stevens Institute of Technology Spring 24 This final is open book/open notes. PCs or calculators may be used to solve problems or to lookup information

More information

CIVL /8904 T R A F F I C F L O W T H E O R Y L E C T U R E - 8

CIVL /8904 T R A F F I C F L O W T H E O R Y L E C T U R E - 8 CIVL - 7904/8904 T R A F F I C F L O W T H E O R Y L E C T U R E - 8 Chi-square Test How to determine the interval from a continuous distribution I = Range 1 + 3.322(logN) I-> Range of the class interval

More information

Statistical Calculations and Tests Using the TI 83/84.

Statistical Calculations and Tests Using the TI 83/84. Statistical Calculations and Tests Using the TI 83/84. The document is meant to be read with a calculator in hand. Work an example to see the results of every step. The content is in the order that the

More information

16.400/453J Human Factors Engineering. Design of Experiments II

16.400/453J Human Factors Engineering. Design of Experiments II J Human Factors Engineering Design of Experiments II Review Experiment Design and Descriptive Statistics Research question, independent and dependent variables, histograms, box plots, etc. Inferential

More information

Lab 8 Impulse and Momentum

Lab 8 Impulse and Momentum b Lab 8 Impulse and Momentum What You Need To Know: The Physics There are many concepts in physics that are defined purely by an equation and not by a description. In some cases, this is a source of much

More information

The Difference in Proportions Test

The Difference in Proportions Test Overview The Difference in Proportions Test Dr Tom Ilvento Department of Food and Resource Economics A Difference of Proportions test is based on large sample only Same strategy as for the mean We calculate

More information

Obj: Observe and describe states of matter.

Obj: Observe and describe states of matter. Do Now Date: March 6, 2017 Obj: Observe and describe states of matter. Copy and Solve: 1. If Dr. B has a 5.0L container at a pressure of 2 atm, how much pressure would it place on the walls of a 2.5L container?

More information

MITOCW ocw-18_02-f07-lec02_220k

MITOCW ocw-18_02-f07-lec02_220k MITOCW ocw-18_02-f07-lec02_220k The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free.

More information

Chapter 9: Equations and Inequalities

Chapter 9: Equations and Inequalities Chapter 9: Equations and Inequalities Lesson Objectives Class Periods Tetbook & Workbook Teacher's Guide Page Additional Materials Needed Determine whether a given number makes an equation true. TB: 28

More information

Systems of Equations and Inequalities

Systems of Equations and Inequalities 1 Systems of Equations and Inequalities 2015 03 24 2 Table of Contents Solving Systems by Graphing Solving Systems by Substitution Solve Systems by Elimination Choosing your Strategy Solving Systems of

More information

TABLES AND FORMULAS FOR MOORE Basic Practice of Statistics

TABLES AND FORMULAS FOR MOORE Basic Practice of Statistics TABLES AND FORMULAS FOR MOORE Basic Practice of Statistics Exploring Data: Distributions Look for overall pattern (shape, center, spread) and deviations (outliers). Mean (use a calculator): x = x 1 + x

More information

Confidence intervals CE 311S

Confidence intervals CE 311S CE 311S PREVIEW OF STATISTICS The first part of the class was about probability. P(H) = 0.5 P(T) = 0.5 HTTHHTTTTHHTHTHH If we know how a random process works, what will we see in the field? Preview of

More information

Chapters 1 & 2 Exam Review

Chapters 1 & 2 Exam Review Problems 1-3 refer to the following five boxplots. 1.) To which of the above boxplots does the following histogram correspond? (A) A (B) B (C) C (D) D (E) E 2.) To which of the above boxplots does the

More information

28 (Late Start) 7.2a Substitution. 7.1b Graphing with technology Feb 2. 4 (Late Start) Applications/ Choosing a method

28 (Late Start) 7.2a Substitution. 7.1b Graphing with technology Feb 2. 4 (Late Start) Applications/ Choosing a method Unit 7: Systems of Linear Equations NAME: The calendar and all assignments are subject to change. Students will be notified of any changes during class, so it is their responsibility to pay attention and

More information

Minnesota Comprehensive Assessments-Series III

Minnesota Comprehensive Assessments-Series III Name Minnesota Comprehensive Assessments-Series III Mathematics Item Sampler Grade 7 ITEM SAMPLERS ARE NOT SECURE TEST MATERIALS. THIS ITEM SAMPLER TEST BOOK MAY BE COPIED OR DUPLICATED. 24 18 Point State

More information

Minnesota Comprehensive Assessments-Series III

Minnesota Comprehensive Assessments-Series III Name Minnesota Comprehensive Assessments-Series III Mathematics Item Sampler Grade 7 ITEM SAMPLERS ARE NOT SECURE TEST MATERIALS. THIS ITEM SAMPLER TEST BOOK MAY BE COPIED OR DUPLICATED. 24 Point State

More information

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 8.2, median = 8, mode =7

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 8.2, median = 8, mode =7 Class: Date: Unit 2 Test Review Find the mean, median, and mode of the data set. Round to the nearest tenth. 1. 4, 7, 8, 15, 1, 7, 8, 14, 7, 15, 4 a. mean = 7.5, median = 7, mode = 7 b. mean = 8.2, median

More information

Algebra 1 Fall Semester Final Review Name

Algebra 1 Fall Semester Final Review Name It is very important that you review for the Algebra Final. Here are a few pieces of information you want to know. Your Final is worth 20% of your overall grade The final covers concepts from the entire

More information

Describing Distributions

Describing Distributions Describing Distributions With Numbers April 18, 2012 Summary Statistics. Measures of Center. Percentiles. Measures of Spread. A Summary Statement. Choosing Numerical Summaries. 1.0 What Are Summary Statistics?

More information

You may not use your books/notes on this exam. You may use calculator.

You may not use your books/notes on this exam. You may use calculator. MATH 450 Fall 2018 Review problems 12/03/18 Time Limit: 60 Minutes Name (Print: This exam contains 6 pages (including this cover page and 5 problems. Check to see if any pages are missing. Enter all requested

More information