Measures of the Location of the Data
|
|
- Kelley Warner
- 5 years ago
- Views:
Transcription
1 Measures of the Location of the Data Mark has 51 films in his collection. Each movie comes with a rating on a scale from 0.0 to The following table displays the ratings of the aforementioned films in the increasing order: Find the median M, the first quartile Q1, the third quartile Q3, the interquartile range IQR. 2. Compute the two numbers: Q IQR and Q IQR Are there any potential outliers in the given data? 3. Find the following percentiles: (a) The 19 th percentile. (b) The 42 nd percentile. (c) The 65 th percentile. (d) The 90 th percentile. 4. To what percentiles belong the movies with the following ratings? (a) 4.9 (b) 5.9 (c) 7.0 (d) Draw a box-whisker plot for the given data. (Start by drawing a scaled number line!) 6. Twelve students were asked how many movies they saw last month. Here are their responses: 4, 9, 15, 3, 7, 1, 9, 12, 10, 8, 5, 7. Find the following: (a) The mean (b) The median (c) The mode(s)
2 7. The following frequency table shows the distribution of scores obtained by shooters in a sports competition: Class Interval Frequency (a) Find the mean of this grouped frequency table. (b) Estimate the median. (c) What is the midrange of the data? (d) Based on your computations, how is the distribution of data skewed? 8. Two hundred and seventeen households were surveyed and the number of plants in each household was recorded in the form of the following frequency table: Number of plants Frequency (a) What is the mean? (b) What is the median? (c) What is (are) the mode(s)? (d) Which of the above measures of the center is the largest? Which is the smallest? (e) How are the data skewed? 9. The following data reflects the number of cars that had parked on certain a parking lot during six consecutive days, Monday through Saturday: { 43, 52, 42, 48, 34, 21 }. (a) Find the average number of cars. (b) Find the variance. (c) Find the standard deviation.
3 10. Five runners showed the following results on a distance of 400 meters, in seconds: (a) What is the mean of their results? (b) What is the value of the variance? (c) What is the value of the standard deviation? (d) What is the z-score of the runner with a result of 67.0 seconds? (e) What is the z-score of the runner with a result of 54.7 seconds? 11. Tim Hortons has asked a random sample of 15 people how many coffees they buy per month. Here are the results: Compute the following: (a) the mean (b) the variance (c) the standard deviation 12. A movie theater is interested in the average length of a film. They randomly sampled several films and obtained a mean of 100 minutes and a standard deviation of 7 minutes. (a) Use Chebyshev s Theorem to construct an interval that will contain (approximately) at least 75% (b) Use Chebyshev s Theorem to construct an interval that will contain (approximately) at least 89% (c) Use Chebyshev s Theorem to construct an interval that will contain (approximately) at least 95% 13. Consider the following frequency table for the age of workers in a company: Class Interval, in years Frequency (a) Estimate the mean age of workers in this company. (b) Compute the standard deviation for this frequency table.
4 14. The following table gives a frequency distribution for the weekly grocery bill in 100 randomly selected households of two adults and two children. Class Interval $50 - $100 $100 - $150 $150 - $200 $200 - $250 $250 - $300 Frequency Find (a) The mean weekly grocery bill for these households. (b) The standard deviation for these households. 15. One group of 50 runners on a track distance of 10,000 meters showed an average time of 36.2 minutes with a standard deviation of 6.8 minutes. Another group of 50 runners on the same distance showed an average time of 38.6 minutes with a standard deviation of 3.5 minutes. Adam ran in the first group and showed a time of 32.0 minutes. Brett ran in the second group and finished with a time of 34.4 minutes. If each group was ranked from 1 to 50 from the fastest to the slowest runner, which of the two runners, Adam or Brett, would have a better ranking?
5 ANSWERS. M 7.2, Q 6.4, Q 8.2, IQR Q1-1.5 IQR = 3.7 and Q IQR = There are two potential lower outliers: 2.7 and (a) 6.0 (b) 7.0 (c) 7.55 (d) (a) 7 th (b) 14 th (c) 43 rd (d) 85 th (a) 7.5 (b) 7.5 (c) 7 and 9 7. (a) x = (b) M 24.4 (c) 18.4 (d) Since the mean is smaller than the median, and both are to the right of the midrange of the data, the distribution of data is skewed to the left. This can also be confirmed by visualizing the data using, for example, a histogram. 8. (a) x = 3.9 (b) M = 3 (c) Mode = 2 (d) The mean is the largest, while the mode is the smallest. (e) Since the mean is the largest, and the mode is the smallest, the distribution of data appears to be skewed to the right. This can also be confirmed by visualizing the data using, for example, a histogram. 9. (a) x = 40 cars (b) s 2 = (c) s = 11.1 cars 10. (a) x = seconds (b) s 2 = (c) s = 6.26 seconds (d) z = 1.28 (e) z = (a) 19.7 cups (b) (c) 16.5 cups 12. The intervals (in minutes) are: (a) [86, 114] (b) [79, 121] (c) [68.5, 131.5] 13. (a) 45.8 years (b) 10.6 years 14. (a) $173 (b) $ Brett would be ranked higher, because his z-score (z B = 1.2) is smaller than Adam s (z A = 0.62), meaning that his number in ranking is smaller than Adam s.
CHAPTER 2: Describing Distributions with Numbers
CHAPTER 2: Describing Distributions with Numbers The Basic Practice of Statistics 6 th Edition Moore / Notz / Fligner Lecture PowerPoint Slides Chapter 2 Concepts 2 Measuring Center: Mean and Median Measuring
More informationChapter 3. Measuring data
Chapter 3 Measuring data 1 Measuring data versus presenting data We present data to help us draw meaning from it But pictures of data are subjective They re also not susceptible to rigorous inference Measuring
More informationSlide 1. Slide 2. Slide 3. Pick a Brick. Daphne. 400 pts 200 pts 300 pts 500 pts 100 pts. 300 pts. 300 pts 400 pts 100 pts 400 pts.
Slide 1 Slide 2 Daphne Phillip Kathy Slide 3 Pick a Brick 100 pts 200 pts 500 pts 300 pts 400 pts 200 pts 300 pts 500 pts 100 pts 300 pts 400 pts 100 pts 400 pts 100 pts 200 pts 500 pts 100 pts 400 pts
More informationDescribing 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 informationChapter 1: Exploring Data
Chapter 1: Exploring Data Section 1.3 with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE Chapter 1 Exploring Data Introduction: Data Analysis: Making Sense of Data 1.1
More informationSection 3. Measures of Variation
Section 3 Measures of Variation Range Range = (maximum value) (minimum value) It is very sensitive to extreme values; therefore not as useful as other measures of variation. Sample Standard Deviation The
More informationChapter 1 - Lecture 3 Measures of Location
Chapter 1 - Lecture 3 of Location August 31st, 2009 Chapter 1 - Lecture 3 of Location General Types of measures Median Skewness Chapter 1 - Lecture 3 of Location Outline General Types of measures What
More informationDescribing distributions with numbers
Describing distributions with numbers A large number or numerical methods are available for describing quantitative data sets. Most of these methods measure one of two data characteristics: The central
More informationDEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS QM 120. Spring 2008
DEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS Introduction to Business Statistics QM 120 Chapter 3 Spring 2008 Measures of central tendency for ungrouped data 2 Graphs are very helpful to describe
More informationUnit 2. Describing Data: Numerical
Unit 2 Describing Data: Numerical Describing Data Numerically Describing Data Numerically Central Tendency Arithmetic Mean Median Mode Variation Range Interquartile Range Variance Standard Deviation Coefficient
More informationIB Questionbank Mathematical Studies 3rd edition. Grouped discrete. 184 min 183 marks
IB Questionbank Mathematical Studies 3rd edition Grouped discrete 184 min 183 marks 1. The weights in kg, of 80 adult males, were collected and are summarized in the box and whisker plot shown below. Write
More informationCHAPTER 1. Introduction
CHAPTER 1 Introduction Engineers and scientists are constantly exposed to collections of facts, or data. The discipline of statistics provides methods for organizing and summarizing data, and for drawing
More informationResistant Measure - A statistic that is not affected very much by extreme observations.
Chapter 1.3 Lecture Notes & Examples Section 1.3 Describing Quantitative Data with Numbers (pp. 50-74) 1.3.1 Measuring Center: The Mean Mean - The arithmetic average. To find the mean (pronounced x bar)
More informationLecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1
Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Overview 3-2 Measures
More informationDescribing distributions with numbers
Describing distributions with numbers A large number or numerical methods are available for describing quantitative data sets. Most of these methods measure one of two data characteristics: The central
More information1.3: Describing Quantitative Data with Numbers
1.3: Describing Quantitative Data with Numbers Section 1.3 Describing Quantitative Data with Numbers After this section, you should be able to MEASURE center with the mean and median MEASURE spread with
More information2011 Pearson Education, Inc
Statistics for Business and Economics Chapter 2 Methods for Describing Sets of Data Summary of Central Tendency Measures Measure Formula Description Mean x i / n Balance Point Median ( n +1) Middle Value
More informationSection 3.2 Measures of Central Tendency
Section 3.2 Measures of Central Tendency 1 of 149 Section 3.2 Objectives Determine the mean, median, and mode of a population and of a sample Determine the weighted mean of a data set and the mean of a
More informationMean, Median, Mode, and Range
Mean, Median, Mode, and Range Mean, median, and mode are measures of central tendency; they measure the center of data. Range is a measure of dispersion; it measures the spread of data. The mean of a data
More informationThe Normal Distribution. Chapter 6
+ The Normal Distribution Chapter 6 + Applications of the Normal Distribution Section 6-2 + The Standard Normal Distribution and Practical Applications! We can convert any variable that in normally distributed
More informationDescribing 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 informationRange The range is the simplest of the three measures and is defined now.
Measures of Variation EXAMPLE A testing lab wishes to test two experimental brands of outdoor paint to see how long each will last before fading. The testing lab makes 6 gallons of each paint to test.
More informationTOPIC: 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 informationP8130: Biostatistical Methods I
P8130: Biostatistical Methods I Lecture 2: Descriptive Statistics Cody Chiuzan, PhD Department of Biostatistics Mailman School of Public Health (MSPH) Lecture 1: Recap Intro to Biostatistics Types of Data
More informationUnit 1: Statistics. Mrs. Valentine Math III
Unit 1: Statistics Mrs. Valentine Math III 1.1 Analyzing Data Statistics Study, analysis, and interpretation of data Find measure of central tendency Mean average of the data Median Odd # data pts: middle
More informationChapter. Numerically Summarizing Data Pearson Prentice Hall. All rights reserved
Chapter 3 Numerically Summarizing Data Section 3.1 Measures of Central Tendency Objectives 1. Determine the arithmetic mean of a variable from raw data 2. Determine the median of a variable from raw data
More informationUnit 2: Numerical Descriptive Measures
Unit 2: Numerical Descriptive Measures Summation Notation Measures of Central Tendency Measures of Dispersion Chebyshev's Rule Empirical Rule Measures of Relative Standing Box Plots z scores Jan 28 10:48
More informationSTRAND E: STATISTICS. UNIT E4 Measures of Variation: Text * * Contents. Section. E4.1 Cumulative Frequency. E4.2 Box and Whisker Plots
STRAND E: STATISTICS E4 Measures of Variation Text Contents * * Section E4.1 E4.2 Box and Whisker Plots E4 Measures of Variation E4.1 * frequencies are useful if more detailed information is required about
More informationLecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 3.1- #
Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Review and Preview 3-2 Measures
More information3.3. Section. Measures of Central Tendency and Dispersion from Grouped Data. Copyright 2013, 2010 and 2007 Pearson Education, Inc.
Section 3.3 Measures of Central Tendency and Dispersion from Grouped Data Objectives 1. Approximate the mean of a variable from grouped data 2. Compute the weighted mean 3. Approximate the standard deviation
More informationDescribing 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 informationChapter 3: Displaying and summarizing quantitative data p52 The pattern of variation of a variable is called its distribution.
Chapter 3: Displaying and summarizing quantitative data p52 The pattern of variation of a variable is called its distribution. 1 Histograms p53 The breakfast cereal data Study collected data on nutritional
More informationMath 7 /Unit 5 Practice Test: Statistics
Math 7 /Unit 5 Practice Test: Statistics Name: Date: Define the terms below and give an example. 1. population 2. random sample 3. interquartile range (IQR) 4. Determine whether each sample is a random
More informationNumber of fillings Frequency q 4 1. (a) Find the value of q. (2)
1. The table below shows the frequency distribution of the number of dental fillings for a group of 25 children. Number of fillings 0 1 2 3 4 5 Frequency 4 3 8 q 4 1 Find the value of q. Use your graphic
More informationChapter 3 Data Description
Chapter 3 Data Description Section 3.1: Measures of Central Tendency Section 3.2: Measures of Variation Section 3.3: Measures of Position Section 3.1: Measures of Central Tendency Definition of Average
More informationMath 223 Lecture Notes 3/15/04 From The Basic Practice of Statistics, bymoore
Math 223 Lecture Notes 3/15/04 From The Basic Practice of Statistics, bymoore Chapter 3 continued Describing distributions with numbers Measuring spread of data: Quartiles Definition 1: The interquartile
More informationSections 2.3 and 2.4
1 / 24 Sections 2.3 and 2.4 Note made by: Dr. Timothy Hanson Instructor: Peijie Hou Department of Statistics, University of South Carolina Stat 205: Elementary Statistics for the Biological and Life Sciences
More information1.3.1 Measuring Center: The Mean
1.3.1 Measuring Center: The Mean Mean - The arithmetic average. To find the mean (pronounced x bar) of a set of observations, add their values and divide by the number of observations. If the n observations
More informationare the objects described by a set of data. They may be people, animals or things.
( c ) E p s t e i n, C a r t e r a n d B o l l i n g e r 2016 C h a p t e r 5 : E x p l o r i n g D a t a : D i s t r i b u t i o n s P a g e 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms
More informationLecture 11. Data Description Estimation
Lecture 11 Data Description Estimation Measures of Central Tendency (continued, see last lecture) Sample mean, population mean Sample mean for frequency distributions The median The mode The midrange 3-22
More informationTopic 3: Introduction to Statistics. Algebra 1. Collecting Data. Table of Contents. Categorical or Quantitative? What is the Study of Statistics?!
Topic 3: Introduction to Statistics Collecting Data We collect data through observation, surveys and experiments. We can collect two different types of data: Categorical Quantitative Algebra 1 Table of
More informationTopic 2 Part 1 [195 marks]
Topic 2 Part 1 [195 marks] The distribution of rainfall in a town over 80 days is displayed on the following box-and-whisker diagram. 1a. Write down the median rainfall. 1b. Write down the minimum rainfall.
More informationadditionalmathematicsstatisticsadditi onalmathematicsstatisticsadditionalm athematicsstatisticsadditionalmathem aticsstatisticsadditionalmathematicsst
additionalmathematicsstatisticsadditi onalmathematicsstatisticsadditionalm athematicsstatisticsadditionalmathem aticsstatisticsadditionalmathematicsst STATISTICS atisticsadditionalmathematicsstatistic
More informationMeasures of center. The mean The mean of a distribution is the arithmetic average of the observations:
Measures of center The mean The mean of a distribution is the arithmetic average of the observations: x = x 1 + + x n n n = 1 x i n i=1 The median The median is the midpoint of a distribution: the number
More informationRepresentations of Data - Edexcel Past Exam Questions
Representations of Data - Edexcel Past Exam Questions 1. The number of caravans on Seaview caravan site on each night in August last year is summarised as follows: the least number of caravans was 10.
More informationRevision Topic 13: Statistics 1
Revision Topic 13: Statistics 1 Averages There are three common types of average: the mean, median and mode. The mode (or modal value) is the data value (or values) that occurs the most often. The median
More informationInt Math 1 Statistic and Probability. Name:
Name: Int Math 1 1. Juan wants to rent a house. He gathers data on many similar houses. The distance from the center of the city, x, and the monthly rent for each house, y, are shown in the scatter plot.
More informationAP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam.
AP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam. Name: Directions: The questions or incomplete statements below are each followed by
More informationLecture 2 and Lecture 3
Lecture 2 and Lecture 3 1 Lecture 2 and Lecture 3 We can describe distributions using 3 characteristics: shape, center and spread. These characteristics have been discussed since the foundation of statistics.
More informationHonors Statistics. Daily Agenda
Section 2.1 Describing Location in a Distribution Day 3 Linear Data Transformations Honors Statistics Daily Agenda 1. Review OTL C2#3 2. Introduce and practice data transformations 1 Askips are red - show
More informationMATH 1150 Chapter 2 Notation and Terminology
MATH 1150 Chapter 2 Notation and Terminology Categorical Data The following is a dataset for 30 randomly selected adults in the U.S., showing the values of two categorical variables: whether or not the
More informationPractice problems from chapters 2 and 3
Practice problems from chapters and 3 Question-1. For each of the following variables, indicate whether it is quantitative or qualitative and specify which of the four levels of measurement (nominal, ordinal,
More informationChapters 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 informationChapter 1. Looking at Data
Chapter 1 Looking at Data Types of variables Looking at Data Be sure that each variable really does measure what you want it to. A poor choice of variables can lead to misleading conclusions!! For example,
More informationWhat are the mean, median, and mode for the data set below? Step 1
Unit 11 Review Analyzing Data Name Per The mean is the average of the values. The median is the middle value(s) when the values are listed in order. The mode is the most common value(s). What are the mean,
More informationChapter 6 Assessment. 3. Which points in the data set below are outliers? Multiple Choice. 1. The boxplot summarizes the test scores of a math class?
Chapter Assessment Multiple Choice 1. The boxplot summarizes the test scores of a math class? Test Scores 3. Which points in the data set below are outliers? 73, 73, 7, 75, 75, 75, 77, 77, 77, 77, 7, 7,
More informationBNG 495 Capstone Design. Descriptive Statistics
BNG 495 Capstone Design Descriptive Statistics Overview The overall goal of this short course in statistics is to provide an introduction to descriptive and inferential statistical methods, with a focus
More informationSampling, Frequency Distributions, and Graphs (12.1)
1 Sampling, Frequency Distributions, and Graphs (1.1) Design: Plan how to obtain the data. What are typical Statistical Methods? Collect the data, which is then subjected to statistical analysis, which
More informationProbability and Samples. Sampling. Point Estimates
Probability and Samples Sampling We want the results from our sample to be true for the population and not just the sample But our sample may or may not be representative of the population Sampling error
More informationPerhaps the most important measure of location is the mean (average). Sample mean: where n = sample size. Arrange the values from smallest to largest:
1 Chapter 3 - Descriptive stats: Numerical measures 3.1 Measures of Location Mean Perhaps the most important measure of location is the mean (average). Sample mean: where n = sample size Example: The number
More informationCHAPTER 5: EXPLORING DATA DISTRIBUTIONS. Individuals are the objects described by a set of data. These individuals may be people, animals or things.
(c) Epstein 2013 Chapter 5: Exploring Data Distributions Page 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms Individuals are the objects described by a set of data. These individuals
More informationExam: practice test 1 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Exam: practice test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the problem. ) Using the information in the table on home sale prices in
More informationThe point value of each problem is in the left-hand margin. You must show your work to receive any credit, except in problem 1. Work neatly.
Introduction to Statistics Math 1040 Sample Final Exam - Chapters 1-11 6 Problem Pages Time Limit: 1 hour and 50 minutes Open Textbook Calculator Allowed: Scientific Name: The point value of each problem
More informationLecture 1: Description of Data. Readings: Sections 1.2,
Lecture 1: Description of Data Readings: Sections 1.,.1-.3 1 Variable Example 1 a. Write two complete and grammatically correct sentences, explaining your primary reason for taking this course and then
More information200 participants [EUR] ( =60) 200 = 30% i.e. nearly a third of the phone bills are greater than 75 EUR
Ana Jerončić 200 participants [EUR] about half (71+37=108) 200 = 54% of the bills are small, i.e. less than 30 EUR (18+28+14=60) 200 = 30% i.e. nearly a third of the phone bills are greater than 75 EUR
More informationLecture 3. Measures of Relative Standing and. Exploratory Data Analysis (EDA)
Lecture 3. Measures of Relative Standing and Exploratory Data Analysis (EDA) Problem: The average weekly sales of a small company are $10,000 with a standard deviation of $450. This week their sales were
More informationMath 120 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency
Math 1 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency The word average: is very ambiguous and can actually refer to the mean, median, mode or midrange. Notation:
More information(a) Find the value of x. (4) Write down the standard deviation. (2) (Total 6 marks)
1. The following frequency distribution of marks has mean 4.5. Mark 1 2 3 4 5 6 7 Frequency 2 4 6 9 x 9 4 Find the value of x. (4) Write down the standard deviation. (Total 6 marks) 2. The following table
More informationAP Final Review II Exploring Data (20% 30%)
AP Final Review II Exploring Data (20% 30%) Quantitative vs Categorical Variables Quantitative variables are numerical values for which arithmetic operations such as means make sense. It is usually a measure
More informationAfter completing this chapter, you should be able to:
Chapter 2 Descriptive Statistics Chapter Goals After completing this chapter, you should be able to: Compute and interpret the mean, median, and mode for a set of data Find the range, variance, standard
More informationDetermining the Spread of a Distribution
Determining the Spread of a Distribution 1.3-1.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3-2311 Lecture 3-2311 1 / 58 Outline 1 Describing Quantitative
More informationSTATISTICS. 1. Measures of Central Tendency
STATISTICS 1. Measures o Central Tendency Mode, median and mean For a sample o discrete data, the mode is the observation, x with the highest requency,. 1 N F For grouped data in a cumulative requency
More informationDetermining the Spread of a Distribution
Determining the Spread of a Distribution 1.3-1.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3-2311 Lecture 3-2311 1 / 58 Outline 1 Describing Quantitative
More informationChapter 3. Data Description
Chapter 3. Data Description Graphical Methods Pie chart It is used to display the percentage of the total number of measurements falling into each of the categories of the variable by partition a circle.
More informationSamples and Surveys pp
LESSON 4-1 Samples and Surveys pp. 174 175 Vocabulary population (p. 174) sample (p. 174) biased sample (p. 174) random sample (p. 175) systematic sample (p. 175) stratified sample (p. 175) Additional
More informationReview: Central Measures
Review: Central Measures Mean, Median and Mode When do we use mean or median? If there is (are) outliers, use Median If there is no outlier, use Mean. Example: For a data 1, 1.2, 1.5, 1.7, 1.8, 1.9, 2.3,
More informationSTAT 200 Chapter 1 Looking at Data - Distributions
STAT 200 Chapter 1 Looking at Data - Distributions What is Statistics? Statistics is a science that involves the design of studies, data collection, summarizing and analyzing the data, interpreting the
More informationCIVL 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 informationExercises from Chapter 3, Section 1
Exercises from Chapter 3, Section 1 1. Consider the following sample consisting of 20 numbers. (a) Find the mode of the data 21 23 24 24 25 26 29 30 32 34 39 41 41 41 42 43 48 51 53 53 (b) Find the median
More informationChapter 2 Class Notes Sample & Population Descriptions Classifying variables
Chapter 2 Class Notes Sample & Population Descriptions Classifying variables Random Variables (RVs) are discrete quantitative continuous nominal qualitative ordinal Notation and Definitions: a Sample is
More informationCHAPTER 1 Univariate data
Chapter Answers Page 1 of 17 CHAPTER 1 Univariate data Exercise 1A Types of data 1 Numerical a, b, c, g, h Categorical d, e, f, i, j, k, l, m 2 Discrete c, g Continuous a, b, h 3 C 4 C Exercise 1B Stem
More information4-5 Scatter Plots Plots and and Trend Lines
4-5 Scatter Plots Plots and and Trend Lines Warm Up Lesson Presentation Lesson Quiz Holt Holt Algebra Algebra 1 1 The image cannot be displayed. Your computer may not have enough memory to open the image,
More informationSTOR 155 Introductory Statistics. Lecture 4: Displaying Distributions with Numbers (II)
The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STOR 155 Introductory Statistics Lecture 4: Displaying Distributions with Numbers (II) 9/8/09 Lecture 4 1 Numerical Summary for Distributions Center Mean
More informationMath 14 Lecture Notes Ch Percentile
.3 Measures of the Location of the Data Percentile g A measure of position, the percentile, p, is an integer (1 p 99) such that the p th percentile is the position of a data value where p% of the data
More information8.1 Frequency Distribution, Frequency Polygon, Histogram page 326
page 35 8 Statistics are around us both seen and in ways that affect our lives without us knowing it. We have seen data organized into charts in magazines, books and newspapers. That s descriptive statistics!
More informationIntroduction to Statistics
Introduction to Statistics By A.V. Vedpuriswar October 2, 2016 Introduction The word Statistics is derived from the Italian word stato, which means state. Statista refers to a person involved with the
More informationStatistics 1. Edexcel Notes S1. Mathematical Model. A mathematical model is a simplification of a real world problem.
Statistics 1 Mathematical Model A mathematical model is a simplification of a real world problem. 1. A real world problem is observed. 2. A mathematical model is thought up. 3. The model is used to make
More informationObjective A: Mean, Median and Mode Three measures of central of tendency: the mean, the median, and the mode.
Chapter 3 Numerically Summarizing Data Chapter 3.1 Measures of Central Tendency Objective A: Mean, Median and Mode Three measures of central of tendency: the mean, the median, and the mode. A1. Mean The
More informationFinding Quartiles. . Q1 is the median of the lower half of the data. Q3 is the median of the upper half of the data
Finding Quartiles. Use the median to divide the ordered data set into two halves.. If n is odd, do not include the median in either half. If n is even, split this data set exactly in half.. Q1 is the median
More informationDetermining the Spread of a Distribution Variance & Standard Deviation
Determining the Spread of a Distribution Variance & Standard Deviation 1.3 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3 Lecture 3 1 / 32 Outline 1 Describing
More informationStudent Performance Analysis. Algebra I Standards of Learning
Student Performance Analysis Algebra I Standards of Learning Practice for SOL A.1 Select each phrase that verbally translates this algebraic expression: One fourth times the cube root of x less five. One
More informationST Presenting & Summarising Data Descriptive Statistics. Frequency Distribution, Histogram & Bar Chart
ST2001 2. Presenting & Summarising Data Descriptive Statistics Frequency Distribution, Histogram & Bar Chart Summary of Previous Lecture u A study often involves taking a sample from a population that
More informationLecture 3: Chapter 3
Lecture 3: Chapter 3 C C Moxley UAB Mathematics 26 January 16 3.2 Measurements of Center Statistics involves describing data sets and inferring things about them. The first step in understanding a set
More informationSolutions to Additional Questions on Normal Distributions
Solutions to Additional Questions on Normal Distributions 1.. EPA fuel economy estimates for automobile models tested recently predicted a mean of.8 mpg and a standard deviation of mpg for highway driving.
More information1 Measures of the Center of a Distribution
1 Measures of the Center of a Distribution Qualitative descriptions of the shape of a distribution are important and useful. But we will often desire the precision of numerical summaries as well. Two aspects
More informationExample 2. Given the data below, complete the chart:
Statistics 2035 Quiz 1 Solutions Example 1. 2 64 150 150 2 128 150 2 256 150 8 8 Example 2. Given the data below, complete the chart: 52.4, 68.1, 66.5, 75.0, 60.5, 78.8, 63.5, 48.9, 81.3 n=9 The data is
More informationTopic 5: Statistics 5.3 Cumulative Frequency Paper 1
Topic 5: Statistics 5.3 Cumulative Frequency Paper 1 1. The following is a cumulative frequency diagram for the time t, in minutes, taken by students to complete a task. Standard Level Write down the median.
More informationPractice Questions for Exam 1
Practice Questions for Exam 1 1. A used car lot evaluates their cars on a number of features as they arrive in the lot in order to determine their worth. Among the features looked at are miles per gallon
More informationHonors Algebra 1 - Fall Final Review
Name: Period Date: Honors Algebra 1 - Fall Final Review This review packet is due at the beginning of your final exam. In addition to this packet, you should study each of your unit reviews and your notes.
More informationDescriptive Univariate Statistics and Bivariate Correlation
ESC 100 Exploring Engineering Descriptive Univariate Statistics and Bivariate Correlation Instructor: Sudhir Khetan, Ph.D. Wednesday/Friday, October 17/19, 2012 The Central Dogma of Statistics used to
More information