Describing Distributions
... Used for nominal and ordinal data; interval-ratio data may need to be grouped. Compute counts (frequencies) and relative ...
... Used for nominal and ordinal data; interval-ratio data may need to be grouped. Compute counts (frequencies) and relative ...
1.0. Data Description
... This tells us how many observations in the dataset we have from the households residing in Urban and Rural areas and what percentage of the total number of observations they represent. (Note that during the analysis, we will need to use weights for each households to ensure the data is representativ ...
... This tells us how many observations in the dataset we have from the households residing in Urban and Rural areas and what percentage of the total number of observations they represent. (Note that during the analysis, we will need to use weights for each households to ensure the data is representativ ...
Document
... Results from one child's three diets are not independent. The three results are probably clustered around a set-point for that child. The analysis must incorporate this possible correlated clustering. If the software is just given the 3x140 outcomes without distinguishing the individual children, th ...
... Results from one child's three diets are not independent. The three results are probably clustered around a set-point for that child. The analysis must incorporate this possible correlated clustering. If the software is just given the 3x140 outcomes without distinguishing the individual children, th ...
Data presentation and summary Consider the following table: State
... The median is also a useful location measure for ordinal qualitative data, since the idea of a “middle” value is well–defined. The median values for both the station cleanliness and station safety variables in the subway survey are “Unsatisfactory,” which is certainly a reasonable representation of ...
... The median is also a useful location measure for ordinal qualitative data, since the idea of a “middle” value is well–defined. The median values for both the station cleanliness and station safety variables in the subway survey are “Unsatisfactory,” which is certainly a reasonable representation of ...
Chapter 3 Exercises
... 3. A study shows a mean of 0.98 and median of 0.56. What does this suggest about the shape of the distribution? 4. The line inside a boxplot represents the distribution’s _______________. 5. The top of the whisker on a box-and-whiskers plot goes up to the [3 words]. 6. What visual clues of spread ar ...
... 3. A study shows a mean of 0.98 and median of 0.56. What does this suggest about the shape of the distribution? 4. The line inside a boxplot represents the distribution’s _______________. 5. The top of the whisker on a box-and-whiskers plot goes up to the [3 words]. 6. What visual clues of spread ar ...
Two Macros for Producing Graphs to Assess Agreement Between Two Variables
... between two variables. The first is a variant on a mean-difference plot, the second is a variant on a bivariate plot. A published data set will be used to generate an example set of graphs. INTRODUCTION In many fields of science and engineering a researcher often has to assess agreement between two ...
... between two variables. The first is a variant on a mean-difference plot, the second is a variant on a bivariate plot. A published data set will be used to generate an example set of graphs. INTRODUCTION In many fields of science and engineering a researcher often has to assess agreement between two ...
1 An Exercise in STATISTICS Steps in Conducting Research
... 1. Is the content of dreams the result of unconscious motives and desires? 2. Is there any relationship between birth order and personality? 3. Do college students consume more pizza than any other group? 4. Can humans be innately evil? 5. Do sales of pain relievers increase during periods of econom ...
... 1. Is the content of dreams the result of unconscious motives and desires? 2. Is there any relationship between birth order and personality? 3. Do college students consume more pizza than any other group? 4. Can humans be innately evil? 5. Do sales of pain relievers increase during periods of econom ...
Analyzing Categorical Data
... Plan: How will you go about answering the question? What statistical techniques does this problem call for? Do: Make graphs and carry out needed calculations. Conclude: Give your practical conclusion in the setting of the realworld problem. ...
... Plan: How will you go about answering the question? What statistical techniques does this problem call for? Do: Make graphs and carry out needed calculations. Conclude: Give your practical conclusion in the setting of the realworld problem. ...
Analyzing Categorical Data - North Thurston Public Schools
... – These data represent the responses of 20 female AP Statistics students to the question, “How many pairs of shoes do you have?” Construct a stemplot. ...
... – These data represent the responses of 20 female AP Statistics students to the question, “How many pairs of shoes do you have?” Construct a stemplot. ...
Guide - South
... When we analyse two matched continuous variables within a single group, there are two possible scenarios. a) We have measured the same variable twice, maybe at two different time points and we are interested in whether this measure has changed in the duration. b) We have two separate groups but they ...
... When we analyse two matched continuous variables within a single group, there are two possible scenarios. a) We have measured the same variable twice, maybe at two different time points and we are interested in whether this measure has changed in the duration. b) We have two separate groups but they ...
Multiple-Choice Exam Questions
... e) can't tell because there is not enough information. Ch 1.5B 5. The General Social Survey asked respondents to assess their own health as excellent, good, fair, or poor. The level of measurement of this variable is: a) nominal. b) ordinal. c) interval/ratio. d) none of the above. e) can't tell ...
... e) can't tell because there is not enough information. Ch 1.5B 5. The General Social Survey asked respondents to assess their own health as excellent, good, fair, or poor. The level of measurement of this variable is: a) nominal. b) ordinal. c) interval/ratio. d) none of the above. e) can't tell ...
Summer 2004 Paper - Goldsmiths, University of London
... (v) Describe what is meant by a doubly multivariate MANOVA, highlighting its relationship with classical MANOVA and repeated-measures MANOVA. (5 marks) (vi) What are trend contrasts and when is it appropriate to analyse them? If a factor has 5 levels how many trend components can be analysed? How ma ...
... (v) Describe what is meant by a doubly multivariate MANOVA, highlighting its relationship with classical MANOVA and repeated-measures MANOVA. (5 marks) (vi) What are trend contrasts and when is it appropriate to analyse them? If a factor has 5 levels how many trend components can be analysed? How ma ...
Checking Parametric Statistic Assumptions in SPSS
... Now we will analyze the results which will have appeared in the SPSS output window. The second table in the output contains key descriptive statistical information for each group on each dependent variable. In particular, it lists the values of skewness and kurtosis, which are measures of how closel ...
... Now we will analyze the results which will have appeared in the SPSS output window. The second table in the output contains key descriptive statistical information for each group on each dependent variable. In particular, it lists the values of skewness and kurtosis, which are measures of how closel ...
Lecture 3 - Bauer College of Business
... to be larger in one direction than in the other. Tendency for one tail of the distribution to be heavier than the other. Kurtosis is a measure of the relative peakedness or flatness of the frequency distribution curve. The kurtosis of a normal distribution is zero. -kurtosis>0, then dist is more pea ...
... to be larger in one direction than in the other. Tendency for one tail of the distribution to be heavier than the other. Kurtosis is a measure of the relative peakedness or flatness of the frequency distribution curve. The kurtosis of a normal distribution is zero. -kurtosis>0, then dist is more pea ...
Chapter Ten
... to be larger in one direction than in the other. Tendency for one tail of the distribution to be heavier than the other. Kurtosis is a measure of the relative peakedness or flatness of the frequency distribution curve. The kurtosis of a normal distribution is zero. -kurtosis>0, then dist is more pea ...
... to be larger in one direction than in the other. Tendency for one tail of the distribution to be heavier than the other. Kurtosis is a measure of the relative peakedness or flatness of the frequency distribution curve. The kurtosis of a normal distribution is zero. -kurtosis>0, then dist is more pea ...
Math 1530-017 Exam 1 Name February 19, 2009 Student Number E
... 22. Suppose the number of slaps per film of the Three Stooges films has distribution N(13.00, 4.50). What is the range of the number of slaps per films for the center 95% of the films? Use the Standard Normal Probabilities Table or the 68-95-99.7 Rule. (a) 4 slaps per film to 22 slaps per film. (b) ...
... 22. Suppose the number of slaps per film of the Three Stooges films has distribution N(13.00, 4.50). What is the range of the number of slaps per films for the center 95% of the films? Use the Standard Normal Probabilities Table or the 68-95-99.7 Rule. (a) 4 slaps per film to 22 slaps per film. (b) ...
Chapters 2&3.
... Standard Deviation from the Mean “Average” Deviation from the Mean Expected Deviation from the Mean Expect 68% of your data to be within 1 SD of the mean Expect 95% of your data to be within 2 SD of the mean If your score is beyond 2 SDs of the mean You are very infrequent You are very unusual You a ...
... Standard Deviation from the Mean “Average” Deviation from the Mean Expected Deviation from the Mean Expect 68% of your data to be within 1 SD of the mean Expect 95% of your data to be within 2 SD of the mean If your score is beyond 2 SDs of the mean You are very infrequent You are very unusual You a ...
Example
... 2. Decide how many equally spaced intervals to use for the horizontal. Between 6 and 15 intervals is a good number. 3. Decide to use frequencies (count) or relative frequencies (proportion) on the vertical axis. Relative frequency is a usually a better choice. 4. Draw equally spaced intervals on the ...
... 2. Decide how many equally spaced intervals to use for the horizontal. Between 6 and 15 intervals is a good number. 3. Decide to use frequencies (count) or relative frequencies (proportion) on the vertical axis. Relative frequency is a usually a better choice. 4. Draw equally spaced intervals on the ...
Sections 3-1 and 3-2 - Gordon State College
... PROPERTIES OF THE MEAN • Sample means drawn from the same population tend to vary less than other measures of center. • The mean of the data set uses every data value. • A disadvantage of the mean is that just one extreme value (outlier) can change the value of the mean substantially. (Since t ...
... PROPERTIES OF THE MEAN • Sample means drawn from the same population tend to vary less than other measures of center. • The mean of the data set uses every data value. • A disadvantage of the mean is that just one extreme value (outlier) can change the value of the mean substantially. (Since t ...
File - Mr. Bouwkamp`s World of Psychology
... the hypothesis is that aerobic exercise reduces anxiety, then the independent variable to be manipulated is aerobic exercise, and the dependent variable will be anxiety level The experimental group will participate in some aerobic exercise program, and the control group will not ...
... the hypothesis is that aerobic exercise reduces anxiety, then the independent variable to be manipulated is aerobic exercise, and the dependent variable will be anxiety level The experimental group will participate in some aerobic exercise program, and the control group will not ...
... Exploratory data analysis is the process of looking at data to describe the main features. Begin by looking at each variable and then the relationships between the variables. Graphs and numerical summaries are useful. The distribution of a variable tells us what values the variable takes and how oft ...
chapter 5 – exploring data distributions
... Exploratory data analysis is the process of looking at data to describe the main features. Begin by looking at each variable and then the relationships between the variables. Graphs and numerical summaries are useful. The distribution of a variable tells us what values the variable takes and how oft ...
... Exploratory data analysis is the process of looking at data to describe the main features. Begin by looking at each variable and then the relationships between the variables. Graphs and numerical summaries are useful. The distribution of a variable tells us what values the variable takes and how oft ...
Griggs Chapter 1: The Science of Psychology
... Designed to summarize a set of data with a single number Three measures of central tendency 1. The mean is the numerical average for a distribution of score 2. The median is the score that is positioned in the middle of the distribution of scores when scores are listed from lowest to highest If th ...
... Designed to summarize a set of data with a single number Three measures of central tendency 1. The mean is the numerical average for a distribution of score 2. The median is the score that is positioned in the middle of the distribution of scores when scores are listed from lowest to highest If th ...