M 140 Test 1 B Name__________________ SHOW
... 10. Consider the following data set: 2 3 5 7 8 10 12 15 20 31. According to the 1.5(IQR) rule, a) only 2 is an outlier. b) only 31 is an outlier. c) both 2 and 31 are outliers. d. there are no outliers. ...
... 10. Consider the following data set: 2 3 5 7 8 10 12 15 20 31. According to the 1.5(IQR) rule, a) only 2 is an outlier. b) only 31 is an outlier. c) both 2 and 31 are outliers. d. there are no outliers. ...
4-03-08 -- t-distributions and t-test
... Essentially, the t-value is the difference between group means (mean difference), divided by the variability of the two groups (standard error of difference). ...
... Essentially, the t-value is the difference between group means (mean difference), divided by the variability of the two groups (standard error of difference). ...
Lecture 2: Descriptive Statistics and Exploratory Data Analysis
... Before making inferences from data it is essential to examine all your variables. Why? To listen to the data: - to catch mistakes - to see patterns in the data - to find violations of statistical assumptions - to generate hypotheses …and because if you don’t, you will have trouble later ...
... Before making inferences from data it is essential to examine all your variables. Why? To listen to the data: - to catch mistakes - to see patterns in the data - to find violations of statistical assumptions - to generate hypotheses …and because if you don’t, you will have trouble later ...
Week 13
... The variance is the average squared difference of an individual value from the population mean. Why squared? Example cases: Suppose we want to evaluate two GPS receivers for their accuracy. We take the receivers out to measure the distance between two points that are exactly 100.00 meters. We take 5 ...
... The variance is the average squared difference of an individual value from the population mean. Why squared? Example cases: Suppose we want to evaluate two GPS receivers for their accuracy. We take the receivers out to measure the distance between two points that are exactly 100.00 meters. We take 5 ...
H1: The Art and Science of Learning from Data
... The population is the total set of subjects in which we are interested. A sample is the subset of the population for whom we have (or plan to have) data. Descriptive statistics refers to methods for summarizing the data. The summaries usually consist of graphs and numbers such as averages and percen ...
... The population is the total set of subjects in which we are interested. A sample is the subset of the population for whom we have (or plan to have) data. Descriptive statistics refers to methods for summarizing the data. The summaries usually consist of graphs and numbers such as averages and percen ...
chapter 2
... Residual plot – a scatterplot of the regression residuals against the explanatory variable. - It helps us to assess the fit of the regression line. - if plot unstructured and centered about 0, no major problem - if plot has a curve then a straight line is not the best fit of the data - if the residu ...
... Residual plot – a scatterplot of the regression residuals against the explanatory variable. - It helps us to assess the fit of the regression line. - if plot unstructured and centered about 0, no major problem - if plot has a curve then a straight line is not the best fit of the data - if the residu ...
The Practice of Statistics
... 13. If a distribution is symmetric, what does its histogram look like? 14. If a distribution is skewed right, what does its histogram look like? 15. If a distribution is skewed left, what does its histogram look like? 16. How is the stemplot of a distribution related to its histogram? 17. When is it ...
... 13. If a distribution is symmetric, what does its histogram look like? 14. If a distribution is skewed right, what does its histogram look like? 15. If a distribution is skewed left, what does its histogram look like? 16. How is the stemplot of a distribution related to its histogram? 17. When is it ...
Chapter 11
... Ways to Describe the Statistical Significance of Cross-Tabs • What is the probability this much difference in the proportions from row to row or column to column would result only from sampling error if the proportions were were equal in the population? • If the proportions from row to row or colum ...
... Ways to Describe the Statistical Significance of Cross-Tabs • What is the probability this much difference in the proportions from row to row or column to column would result only from sampling error if the proportions were were equal in the population? • If the proportions from row to row or colum ...
Chapter 34 - Routledge
... Statistical significance is a function of the co-efficient and the sample size: – the smaller the sample, the larger the co-efficient has to be in order to obtain statistical significance; – the larger the sample, the smaller the co-efficient can be in order to obtain statistical signifiance; – Stat ...
... Statistical significance is a function of the co-efficient and the sample size: – the smaller the sample, the larger the co-efficient has to be in order to obtain statistical significance; – the larger the sample, the smaller the co-efficient can be in order to obtain statistical signifiance; – Stat ...
Ch 12: Analysis of Quantitative Data
... graph) accounts for somewhere around 68 percent of the people in this group. Two standard deviations away from the mean (the red and green areas) account for roughly 95 percent of the people. And three standard deviations (the red, green and blue areas) account for about 99 percent of the people. • ...
... graph) accounts for somewhere around 68 percent of the people in this group. Two standard deviations away from the mean (the red and green areas) account for roughly 95 percent of the people. And three standard deviations (the red, green and blue areas) account for about 99 percent of the people. • ...
Chapter 1 - Graphical and Numerical Summaries
... How to Describe the Relationship between two variables: (a) Form - linear, non-linear (curved), clustered, etc. (b) Association - positive or negative. A positive association indicates that increasing values of one variable are associated with increasing values of the other variable. A negative asso ...
... How to Describe the Relationship between two variables: (a) Form - linear, non-linear (curved), clustered, etc. (b) Association - positive or negative. A positive association indicates that increasing values of one variable are associated with increasing values of the other variable. A negative asso ...
Methods of Research
... where they got their ideas, how they were tested, and what the results were so that they can be replicated. Willingness to make a risky prediction: Must state ideas in a way that they must be ...
... where they got their ideas, how they were tested, and what the results were so that they can be replicated. Willingness to make a risky prediction: Must state ideas in a way that they must be ...
STUDY GUIDE MIDTERM 2: CAUSALITY:
... when evaluating another’s work, most frequent objection is that the researcher failed to control for some potentially important case of the dependant variable if credible cause can be made that an uncontrolled for “Z” might be related to both X and Y, we cannot conclude with full confidence that X i ...
... when evaluating another’s work, most frequent objection is that the researcher failed to control for some potentially important case of the dependant variable if credible cause can be made that an uncontrolled for “Z” might be related to both X and Y, we cannot conclude with full confidence that X i ...
Interpreting the Standard Deviation The Empirical Rule A rule of
... of a linear relationship • Regression equation, an equation that describes the average relationship between a response and explanatory variable---we will not get to this ...
... of a linear relationship • Regression equation, an equation that describes the average relationship between a response and explanatory variable---we will not get to this ...
Business Research Methods William G. Zikmund
... Elaboration and Refinement • Moderator variable – A third variable that, when introduced into an analysis, alters or has a contingent effect on the relationship between an independent variable and a dependent variable. – Spurious relationship • An apparent relationship between two variables that ...
... Elaboration and Refinement • Moderator variable – A third variable that, when introduced into an analysis, alters or has a contingent effect on the relationship between an independent variable and a dependent variable. – Spurious relationship • An apparent relationship between two variables that ...
Statistics - Simmons College
... distributed population or that both sets of scores were drawn from populations with the same variance or spread of scores Nonparametric methods do not make assumptions about the shape of the population distribution. These are typically less powerful and often need large samples ...
... distributed population or that both sets of scores were drawn from populations with the same variance or spread of scores Nonparametric methods do not make assumptions about the shape of the population distribution. These are typically less powerful and often need large samples ...
Bivariate data
... bivariate data. For example, the heights and weights of a group of people could be displayed on a scatter plot. If you are looking for values that fall within the range of values plotted on the scatter plot, you are interpolating. If you are looking for values that fall beyond the range of those val ...
... bivariate data. For example, the heights and weights of a group of people could be displayed on a scatter plot. If you are looking for values that fall within the range of values plotted on the scatter plot, you are interpolating. If you are looking for values that fall beyond the range of those val ...
Location of Packet
... Criterion for identifying possible outliers using zscores: If observation more than 2 or 3 standard devations from the mean, obs. classified as a potential outlier. [ how much criterion] 1.5*IQR Criterion: If an observation above Q3+1.5*IQR or below Q1-1.5*IQR, then obs classified as a potential out ...
... Criterion for identifying possible outliers using zscores: If observation more than 2 or 3 standard devations from the mean, obs. classified as a potential outlier. [ how much criterion] 1.5*IQR Criterion: If an observation above Q3+1.5*IQR or below Q1-1.5*IQR, then obs classified as a potential out ...
Ethan Frome - Hope College Math Department
... were available in a bowl, and the investigators compared the number of crackers eaten by children watching the different kinds of movies. One kind was shown at 8 A.M. and another at 11 A.M. It was found that during the movie shown at 11 A.M., more crackers were eaten than during the movie shown at 8 ...
... were available in a bowl, and the investigators compared the number of crackers eaten by children watching the different kinds of movies. One kind was shown at 8 A.M. and another at 11 A.M. It was found that during the movie shown at 11 A.M., more crackers were eaten than during the movie shown at 8 ...
Document
... Evaluate test statistics Use a test statistic to formulate a business decisions using regression analysis ...
... Evaluate test statistics Use a test statistic to formulate a business decisions using regression analysis ...
ap statistics midterm review sheet
... You will be given the information you need—you just need to plug the given information into the formulas above (in the order above). We will review this further in class… Interpret r and R2 (remember, if given R2 only, r can be positive or negative…r will have the same sign as the slope.) Create a s ...
... You will be given the information you need—you just need to plug the given information into the formulas above (in the order above). We will review this further in class… Interpret r and R2 (remember, if given R2 only, r can be positive or negative…r will have the same sign as the slope.) Create a s ...
Quantitative Measures - University of Oxford
... • Please put your name somewhere on the page • Paste figures into the doc-file (or rtf-file) and only submit the .sav-files • Name the x- and y-axis of the figures and give them a title • Do not work with var0001 (name and label varia ...
... • Please put your name somewhere on the page • Paste figures into the doc-file (or rtf-file) and only submit the .sav-files • Name the x- and y-axis of the figures and give them a title • Do not work with var0001 (name and label varia ...
Document
... If number of observation is odd, the median is the middle number If number of observation is even, the median is the average of the two middle numbers C) Mode The value which is most frequent.it represents the most common response. Used for either numerical or categorical data There may be ...
... If number of observation is odd, the median is the middle number If number of observation is even, the median is the average of the two middle numbers C) Mode The value which is most frequent.it represents the most common response. Used for either numerical or categorical data There may be ...
HypTestExam
... a. determine how close a sample comes to the null hypothesis b. us to understand how one variable, X, relates to another variable, Y c. determine if a systematic association exists between two variables d. determine the shape of the empirical distribution of the variable (d, 57. The value obtained b ...
... a. determine how close a sample comes to the null hypothesis b. us to understand how one variable, X, relates to another variable, Y c. determine if a systematic association exists between two variables d. determine the shape of the empirical distribution of the variable (d, 57. The value obtained b ...