STATISTICS. 1. Measures of Central Tendency
|
|
- Samson Mitchell
- 6 years ago
- Views:
Transcription
1 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 table, the median = L C m where L is the lower boundary o the median class N is total requency F is the cumulative requency beore the median class C is the interval o the median class m is the requency o the median class x x The mean is the average o all the observations. Hence, x. For grouped data, x. N (a) Find the mode, median and mean or, 3, 1,, 6, 8, 9, 3,, 3. (b) Find the mode, median and mean or the data in the table below. Score Frequency (c) [Mode =, Median = 3, Mean = 4] Find the modal class and calculate the median and mean or the data in the table below. Points requency [Mode = 4, Median = 6, Mean = 7.] (d) Find the modal class and calculate the median and mean or the data in the table below. Marks [Modal class = 10-14, Median = 10.75, Mean = 10.33] [Modal class = 46-60, Median = 48.15, Mean = 46.53] Statistics 1
2 (e) Estimate the mode and calculate the median and mean or the histogram below. () Estimate the mode and calculate the median and mean or the histogram below. [Mode = 7.8, Median = 7.71, Mean = 7.6] Statistics [Mode = 15.5, Median = , Mean = 149.1]
3 (g) Find the modal class and ind the median and mean or the ogive below. (h) Find the modal class and ind the median and mean or the ogive below. [Modal class = 15-19, Median = 17.6, Mean = 18.65] [Modal class = 45-49, Median = 49.5, Mean = 50.5] Statistics 3
4 . Measures o Dispersion: Range, quartiles, interquartile range, variance and standard deviation. The range o a sample is the dierence between the observations with the highest value and the lowest value. 1 1 N F The irst quartile, Q 1 = L 4 Q C 1 Q1 and the third quartile, Q = N F 4 3 LQ 3 CQ Q1 3 Q3 Interquartile range = Q 3 Q 1. It should be recognised that the median is Q. The variance, x x x N N x or discrete data. x x x For grouped data, x. The standard deviation is actually variance x x x For discrete data, x. N N x x x For grouped data, x. (a) Find the range and the interquartile or 5, 1,, 3, 4, 6, 3, 8,, 5, 9. (b) Find the range and the interquartile range or 1, 17, 13, 19, 15, 8, 1, 11. (c) [Range = 8, Interquartile range = 4] Find the range and the interquartile or Score Frequency (d) [Range = 11, Interquartile range = 4.5] Find the range and the interquartile range or Points No. o person 3 5 [Range = 8, Interquartile range = 4] Statistics 4 [Range = 6, Interquartile range = 3]
5 (e) Find the interquartile range or the table below. Marks No. o Students () Find the interquartile range or the table below. Age (year) No. o residents (e) [Interquartile range = marks] Calculate the interquartile range or the ogive below. () [Interquartile range = 8.95 years] Calculate the interquartile range or the ogive below. [Interquartile range = 1.5 mm] Statistics 5 [Interquartile range = 6.5 years]
6 (g) Calculate the interquartile range or the histogram below. (h) Calculate the interquartile range or the histogram below. [Interquartile range = 5.95 kg] [Interquartile range = minutes] Statistics 6
7 (a) Find the mean, variance and the standard deviation or the data below. 5, 1, 6, 3, 6, 10. (b) Find the mean, variance and the standard deviation or the data below. 18, 1, 16, 11, 19, 18, 1, 14. (c) [Mean = 7, = 9.333, = 3.055] Complete the table below and calculate the x x x x x x x (d) [Mean = 15, = 7.5, =.739] Complete the table below and calculate the x x x x x x x [Mean = 7, = 9.333, = 3.055] [Mean = 7., = 10.66, = 3.65] Statistics 7
8 (e) Complete the table below and calculate the Class x () Complete the table below and calculate the Class x x x [Mean = 8.75, = , =.981] (g) Complete the table below and calculate the Class x [Mean = 7.5, = 101, = 10.05] (h) Complete the table below and calculate the Class x x x [Mean = 1.4, = 0.64, = 4.543] [Mean = 37.5, = 376, = 19.39] Statistics 8
9 (i) (j) Extract the data rom the histogram above and complete the table below. Calculate the mean, variance and the standard deviation or Extract the data rom the histogram above and complete the table below. Calculate the mean, variance and the standard deviation or Class x Class x [Mean = 55.55, = , = 6.453] [Mean = 150.3, = 17.36, = 13.13] Statistics 9
additionalmathematicsstatisticsadditi onalmathematicsstatisticsadditionalm athematicsstatisticsadditionalmathem aticsstatisticsadditionalmathematicsst
additionalmathematicsstatisticsadditi onalmathematicsstatisticsadditionalm athematicsstatisticsadditionalmathem aticsstatisticsadditionalmathematicsst STATISTICS atisticsadditionalmathematicsstatistic
More informationDescriptive Statistics Example
Descriptive tatistics Example A manufacturer is investigating the operating life of laptop computer batteries. The following data are available. Life (min.) Life (min.) Life (min.) Life (min.) 130 145
More informationIB MATH SL Test Review 2.1
Name IB MATH SL Test Review 2.1 Date 1. A student measured the diameters of 80 snail shells. His results are shown in the following cumulative frequency graph. The lower quartile (LQ) is 14 mm and is marked
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 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 informationData: the pieces of information that have been observed and recorded, from an experiment or a survey
SESSION 13: STATISTICS KEY CONCEPTS: Collecting, organising and representing data Measures of central tendency Measures of dispersion X-PLANATION Data: the pieces of information that have been observed
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 information1. Exploratory Data Analysis
1. Exploratory Data Analysis 1.1 Methods of Displaying Data A visual display aids understanding and can highlight features which may be worth exploring more formally. Displays should have impact and be
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 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 informationStatistics Add Ins.notebook. November 22, Add ins
Add ins We have LOADS of things we need to know for the IGCSE that you haven't learnt as part of the Bavarian Curriculum. We are now going to shoehorn in some of those topics and ideas. Nov 12 11:50 Main
More informationSTATISTICS INDEX NUMBER
NAME SCHOOL INDEX NUMBER DATE STATISTICS KCSE 1989 2012 Form 4 Mathematics Answer all the questions 1. 1989 Q12 P1 The table below shows the defective bolts from 40 samples No. of detective 0 1 2 3 4 5
More informationFinal Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above
King Abdul Aziz University Faculty of Sciences Statistics Department Final Exam STAT 0 First Term 49-430 A 40 Name No ID: Section: You have 40 questions in 9 pages. You have 90 minutes to solve the exam.
More informationCumulative Frequency & Frequency Density
For more awesome GCSE and A level resources, visit us at www.savemyexams.co.uk Frequency & Frequency Density Diagrams Question Paper 2 Level IGCSE Subject Maths (0580) Exam Board Cambridge International
More informationClass 11 Maths Chapter 15. Statistics
1 P a g e Class 11 Maths Chapter 15. Statistics Statistics is the Science of collection, organization, presentation, analysis and interpretation of the numerical data. Useful Terms 1. Limit of the Class
More informationOverview of Dispersion. Standard. Deviation
15.30 STATISTICS UNIT II: DISPERSION After reading this chapter, students will be able to understand: LEARNING OBJECTIVES To understand different measures of Dispersion i.e Range, Quartile Deviation, Mean
More informationMean/Modal Class Grouped Data
For more awesome GCSE and A level resources, visit us at www.savemyexams.co.uk Mean/Modal Class Grouped Data Question Paper 1 Level IGCSE Subject Maths (58) Exam Board Cambridge International Examinations
More informationDescriptive Statistics and Probability Test Review Test on May 4/5
Descriptive Statistics and Probability Test Review Test on May 4/5 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. Write down
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 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 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 information3, 8, 4, x, y and z. Find a value for each of x, y and z. [5]
9 (a) The number of people living in six houses is 3, 8, 4, x, y and z. The median is 7W. The mode is 8. The mean is 7. Find a value for each of x, y and z. [5] (b) The grouped frequency table below shows
More informationCoordinate Algebra Practice EOCT Answers Unit 4
Coordinate Algebra Practice EOCT Answers #1 This table shows the average low temperature, in ºF, recorded in Macon, GA, and Charlotte, NC, over a six-day period. Which conclusion can be drawn from 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 informationNumber of people in family Frequency
1) 40 students are asked about the number of people in their families. The table shows the results. Number of people in family 2 3 4 5 6 7 Frequency 1 1 17 12 6 3 (a) Find (i) the mode, (ii) the median,
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 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 informationIntroduction to Statistics for Traffic Crash Reconstruction
Introduction to Statistics for Traffic Crash Reconstruction Jeremy Daily Jackson Hole Scientific Investigations, Inc. c 2003 www.jhscientific.com Why Use and Learn Statistics? 1. We already do when ranging
More informationChapter 1:Descriptive statistics
Slide 1.1 Chapter 1:Descriptive statistics Descriptive statistics summarises a mass of information. We may use graphical and/or numerical methods Examples of the former are the bar chart and XY chart,
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 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 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 informationMeasures of the Location of the Data
Measures of the Location of the Data 1. 5. Mark has 51 films in his collection. Each movie comes with a rating on a scale from 0.0 to 10.0. The following table displays the ratings of the aforementioned
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 informationShape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays
Histograms: Shape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays Sep 9 1:13 PM Shape: Skewed left Bell shaped Symmetric Bi modal Symmetric Skewed
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 informationReview for Exam #1. Chapter 1. The Nature of Data. Definitions. Population. Sample. Quantitative data. Qualitative (attribute) data
Review for Exam #1 1 Chapter 1 Population the complete collection of elements (scores, people, measurements, etc.) to be studied Sample a subcollection of elements drawn from a population 11 The Nature
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 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 informationData 1 Assessment Calculator allowed for all questions
Foundation Higher Data Assessment Calculator allowed for all questions MATHSWATCH All questions Time for the test: 4 minutes Name: MATHSWATCH ANSWERS Grade Title of clip Marks Score Percentage Clip 84
More informationQUANTITATIVE DATA. UNIVARIATE DATA data for one variable
QUANTITATIVE DATA Recall that quantitative (numeric) data values are numbers where data take numerical values for which it is sensible to find averages, such as height, hourly pay, and pulse rates. UNIVARIATE
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 informationLast Lecture. Distinguish Populations from Samples. Knowing different Sampling Techniques. Distinguish Parameters from Statistics
Last Lecture Distinguish Populations from Samples Importance of identifying a population and well chosen sample Knowing different Sampling Techniques Distinguish Parameters from Statistics Knowing different
More informationSUMMARIZING MEASURED DATA. Gaia Maselli
SUMMARIZING MEASURED DATA Gaia Maselli maselli@di.uniroma1.it Computer Network Performance 2 Overview Basic concepts Summarizing measured data Summarizing data by a single number Summarizing variability
More informationYear 10 Unit G Revision Questions You can use a calculator on any question.
Year 10 Unit G Revision Questions You can use a calculator on any question. 1.) Find the mode, median, mean, range and interquartile range of each of the following lists. a.) 11, 13, 13, 16, 16, 17, 19,
More informationLecture 6: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries)
Lecture 6: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries) Summarize with Shape, Center, Spread Displays: Stemplots, Histograms Five Number Summary, Outliers, Boxplots Cengage Learning
More informationZ score indicates how far a raw score deviates from the sample mean in SD units. score Mean % Lower Bound
1 EDUR 8131 Chat 3 Notes 2 Normal Distribution and Standard Scores Questions Standard Scores: Z score Z = (X M) / SD Z = deviation score divided by standard deviation Z score indicates how far a raw score
More informationDescriptive Statistics Class Practice [133 marks]
Descriptive Statistics Class Practice [133 marks] The weekly wages (in dollars) of 80 employees are displayed in the cumulative frequency curve below. 1a. (i) (ii) Write down the median weekly wage. Find
More informationThe science of learning from data.
STATISTICS (PART 1) The science of learning from data. Numerical facts Collection of methods for planning experiments, obtaining data and organizing, analyzing, interpreting and drawing the conclusions
More informationTopic 2 Part 3 [189 marks]
Topic 2 Part 3 [189 marks] The grades obtained by a group of 13 students are listed below. 5 3 6 5 7 3 2 6 4 6 6 6 4 1a. Write down the modal grade. Find the mean grade. 1b. Write down the standard deviation.
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 informationLite GCSE Maths. Cumulative Frequency. Name: Class: Mark Scheme. Author: Date: Time: 29. Marks: 27. Comments: Page 1 of 7
Lite GCSE Maths Cumulative Frequency Mark Scheme Name: Class: Author: Date: Time: 29 Marks: 27 Comments: Page 1 of 7 . (a) Evidence that line at 90 drawn or used Line from 40 days drawn or used 40-41 days
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 informationData 1 Assessment Calculator allowed for all questions
Foundation Higher Data Assessment Calculator allowed for all questions MATHSWATCH All questions Time for the test: 45 minutes Name: Grade Title of clip Marks Score Percentage Clip 84 D Data collection
More information3.1 Measures of Central Tendency: Mode, Median and Mean. Average a single number that is used to describe the entire sample or population
. Measures of Central Tendency: Mode, Median and Mean Average a single number that is used to describe the entire sample or population. Mode a. Easiest to compute, but not too stable i. Changing just one
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 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 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 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 informationMath 1342 Test 2 Review. Total number of students = = Students between the age of 26 and 35 = = 2012
Math 1342 Test 2 Review 4) Total number of students = 2041 + 2118 + 1167 + 845 + 226 = 6397 Students between the age of 26 and 35 = 1167 + 845 = 2012 Students who are NOT between the age of 26 and 35 =
More informationMALLOY PSYCH 3000 MEAN & VARIANCE PAGE 1 STATISTICS MEASURES OF CENTRAL TENDENCY. In an experiment, these are applied to the dependent variable (DV)
MALLOY PSYCH 3000 MEAN & VARIANCE PAGE 1 STATISTICS Descriptive statistics Inferential statistics MEASURES OF CENTRAL TENDENCY In an experiment, these are applied to the dependent variable (DV) E.g., MEASURES
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 informationMeasures of Location. Measures of position are used to describe the relative location of an observation
Measures of Location Measures of position are used to describe the relative location of an observation 1 Measures of Position Quartiles and percentiles are two of the most popular measures of position
More informationESP 178 Applied Research Methods. 2/23: Quantitative Analysis
ESP 178 Applied Research Methods 2/23: Quantitative Analysis Data Preparation Data coding create codebook that defines each variable, its response scale, how it was coded Data entry for mail surveys and
More informationInstrumentation (cont.) Statistics vs. Parameters. Descriptive Statistics. Types of Numerical Data
Norm-Referenced vs. Criterion- Referenced Instruments Instrumentation (cont.) October 1, 2007 Note: Measurement Plan Due Next Week All derived scores give meaning to individual scores by comparing them
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 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 informationCalculus first semester exam information and practice problems
Calculus first semester exam information and practice problems As I ve been promising for the past year, the first semester exam in this course encompasses all three semesters of Math SL thus far. It is
More informationWhat is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty.
What is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty. Statistics is a field of study concerned with the data collection,
More informationChapter 2: Descriptive Analysis and Presentation of Single- Variable Data
Chapter 2: Descriptive Analysis and Presentation of Single- Variable Data Mean 26.86667 Standard Error 2.816392 Median 25 Mode 20 Standard Deviation 10.90784 Sample Variance 118.981 Kurtosis -0.61717 Skewness
More informationAlgebra 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 informationGlossary. The ISI glossary of statistical terms provides definitions in a number of different languages:
Glossary The ISI glossary of statistical terms provides definitions in a number of different languages: http://isi.cbs.nl/glossary/index.htm Adjusted r 2 Adjusted R squared measures the proportion of the
More informationProbabilities and Statistics Probabilities and Statistics Probabilities and Statistics
- Lecture 8 Olariu E. Florentin April, 2018 Table of contents 1 Introduction Vocabulary 2 Descriptive Variables Graphical representations Measures of the Central Tendency The Mean The Median The Mode Comparing
More informationAlgebra 2. Outliers. Measures of Central Tendency (Mean, Median, Mode) Standard Deviation Normal Distribution (Bell Curves)
Algebra 2 Outliers Measures of Central Tendency (Mean, Median, Mode) Standard Deviation Normal Distribution (Bell Curves) Algebra 2 Notes #1 Chp 12 Outliers In a set of numbers, sometimes there will be
More informationDETAILED CONTENTS PART I INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics
DETAILED CONTENTS About the Author Preface to the Instructor To the Student How to Use SPSS With This Book PART I INTRODUCTION AND DESCRIPTIVE STATISTICS 1. Introduction to Statistics 1.1 Descriptive and
More informationOCR Maths S1. Topic Questions from Papers. Representation of Data
OCR Maths S1 Topic Questions from Papers Representation of Data PhysicsAndMathsTutor.com 12 The back-to-back stem-and-leaf diagram below shows the number of hours of television watched per week by each
More informationMAT Mathematics in Today's World
MAT 1000 Mathematics in Today's World Last Time 1. Three keys to summarize a collection of data: shape, center, spread. 2. Can measure spread with the fivenumber summary. 3. The five-number summary can
More informationRoll No. : Invigilator's Signature : BIO-STATISTICS. Time Allotted : 3 Hours Full Marks : 70
Name : Roll No. : Invigilator's Signature :.. 2011 BIO-STATISTICS Time Allotted : 3 Hours Full Marks : 70 The figures in the margin indicate full marks. Candidates are required to give their answers in
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 informationADMS2320.com. We Make Stats Easy. Chapter 4. ADMS2320.com Tutorials Past Tests. Tutorial Length 1 Hour 45 Minutes
We Make Stats Easy. Chapter 4 Tutorial Length 1 Hour 45 Minutes Tutorials Past Tests Chapter 4 Page 1 Chapter 4 Note The following topics will be covered in this chapter: Measures of central location Measures
More information2/2/2015 GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY MEASURES OF CENTRAL TENDENCY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS
Spring 2015: Lembo GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS Descriptive statistics concise and easily understood summary of data set characteristics
More informationPROBABILITY DENSITY FUNCTIONS
PROBABILITY DENSITY FUNCTIONS P.D.F. CALCULATIONS Question 1 (***) The lifetime of a certain brand of battery, in tens of hours, is modelled by the f x given by continuous random variable X with probability
More informationMidrange: mean of highest and lowest scores. easy to compute, rough estimate, rarely used
Measures of Central Tendency Mode: most frequent score. best average for nominal data sometimes none or multiple modes in a sample bimodal or multimodal distributions indicate several groups included in
More informationHigher Secondary - First year STATISTICS Practical Book
Higher Secondary - First year STATISTICS Practical Book th_statistics_practicals.indd 07-09-08 8:00:9 Introduction Statistical tools are important for us in daily life. They are used in the analysis of
More informationStatistics for Managers using Microsoft Excel 6 th Edition
Statistics for Managers using Microsoft Excel 6 th Edition Chapter 3 Numerical Descriptive Measures 3-1 Learning Objectives In this chapter, you learn: To describe the properties of central tendency, variation,
More informationUnit Two Descriptive Biostatistics. Dr Mahmoud Alhussami
Unit Two Descriptive Biostatistics Dr Mahmoud Alhussami Descriptive Biostatistics The best way to work with data is to summarize and organize them. Numbers that have not been summarized and organized are
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 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 informationStatistics I Chapter 2: Univariate data analysis
Statistics I Chapter 2: Univariate data analysis Chapter 2: Univariate data analysis Contents Graphical displays for categorical data (barchart, piechart) Graphical displays for numerical data data (histogram,
More informationMean, Mode, Median and Range. I know how to calculate the mean, mode, median and range.
Starter 1) The small box has a volume of 24cm. The boxes are similar. Find the new volume of the box. 2 3cm 9cm 2 2) What is the turning point of the graph y = (x - 9) + 4 Today we are revising... How
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 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 informationAverages How difficult is QM1? What is the average mark? Week 1b, Lecture 2
Averages How difficult is QM1? What is the average mark? Week 1b, Lecture 2 Topics: 1. Mean 2. Mode 3. Median 4. Order Statistics 5. Minimum, Maximum, Range 6. Percentiles, Quartiles, Interquartile Range
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 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 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 informationStatistics I Chapter 2: Univariate data analysis
Statistics I Chapter 2: Univariate data analysis Chapter 2: Univariate data analysis Contents Graphical displays for categorical data (barchart, piechart) Graphical displays for numerical data data (histogram,
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 informationSection 3.4 Normal Distribution MDM4U Jensen
Section 3.4 Normal Distribution MDM4U Jensen Part 1: Dice Rolling Activity a) Roll two 6- sided number cubes 18 times. Record a tally mark next to the appropriate number after each roll. After rolling
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 information