Test your ability to apply the theory of social statistics with the What Should You Do?<\/em> quiz. <\/p>\n\n\n\n\n\nYou want to measure a concept using multiple measures, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026build an additive index.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to see if your index variables go together well, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026calculcate the reliability of your index using Chronbach's Alpha.<\/pre>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to replace missing values in an index with logical guesses based on other answers, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026engage in the process called imputation.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to combine several variables together, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create an additive index.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a synonym for predictor variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026use the term independent variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a synonym for outcome variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026use the term dependent variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a table that summarizes a variable with many values, you should\u2026You want to create a table that summarizes a variable with many values, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a grouped frequency distribution.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a table with an independent and dependent variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a crosstabulation (or crosstab).<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a crosstab and control for a third variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026engage in the process called elaboration.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a graph of a variable that has many different values, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a histogram.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a graph to compare two groups on the age variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a population pyramid.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess if a graph is accurate, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026calculcate the Lie Factor for the graph.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the most common value for a variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the mode.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the middle case for an ordinal-level variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the median.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the mean for a variable, you should make sure that you have a\u2026.<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026ratio-level variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the 50th percentile in a set of data, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the median.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess the uniqueness of a case within a dataset, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026use the standard deviation to find the z-score for that case.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess which group has the most variation on a ratio-level variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026compare the groups’ variances.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess the amount of variation for a nominal-level variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the IQV for the variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to do an inferential test with a crosstab, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026conduct a chi-square test.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the number of degrees of freedom for a crosstab, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026multiply the number of rows -1 by the number of columns -1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to calculate a chi-square value, so the first thing you should do is\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the expected frequencies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to say within what range a population mean falls, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026build a confidence interval.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find how far the average sample mean falls from the population mean, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of the standard error.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to conduct an inferential test with two sample means, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026conduct a t-test.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the number of degrees of freedom for a t-test, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026add the two sample sizes and subtract 2.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to conduct an inferential test with several sample means, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026conduct an ANOVA.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the strength of a relationship in a simple regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the correlation coefficient.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the explained variation in a simple regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of r-squared.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the effect that an increase in the independent variable has on the dependent variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the value of the dependent variable when then independent variable is zero, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of the constant.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a graph illustrating the relationship between two ratio-level variables, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a scatterplot.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to conduct an inferential test with a simple regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the statistical significance of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find how far the average sample slope falls from the population slope, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the standard error of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a dichotomy as an independent variable in a regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026make sure that the variable’s categories are coded as 0 and 1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a nominal-level variable with three categories in a regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n
\u2026build an additive index.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026calculcate the reliability of your index using Chronbach's Alpha.<\/pre>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to replace missing values in an index with logical guesses based on other answers, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026engage in the process called imputation.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to combine several variables together, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create an additive index.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a synonym for predictor variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026use the term independent variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a synonym for outcome variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026use the term dependent variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a table that summarizes a variable with many values, you should\u2026You want to create a table that summarizes a variable with many values, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a grouped frequency distribution.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a table with an independent and dependent variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a crosstabulation (or crosstab).<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a crosstab and control for a third variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026engage in the process called elaboration.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a graph of a variable that has many different values, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a histogram.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a graph to compare two groups on the age variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a population pyramid.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess if a graph is accurate, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026calculcate the Lie Factor for the graph.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the most common value for a variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the mode.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the middle case for an ordinal-level variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the median.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the mean for a variable, you should make sure that you have a\u2026.<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026ratio-level variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the 50th percentile in a set of data, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the median.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess the uniqueness of a case within a dataset, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026use the standard deviation to find the z-score for that case.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess which group has the most variation on a ratio-level variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026compare the groups’ variances.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to assess the amount of variation for a nominal-level variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the IQV for the variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to do an inferential test with a crosstab, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026conduct a chi-square test.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the number of degrees of freedom for a crosstab, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026multiply the number of rows -1 by the number of columns -1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to calculate a chi-square value, so the first thing you should do is\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the expected frequencies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to say within what range a population mean falls, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026build a confidence interval.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find how far the average sample mean falls from the population mean, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of the standard error.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to conduct an inferential test with two sample means, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026conduct a t-test.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the number of degrees of freedom for a t-test, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026add the two sample sizes and subtract 2.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to conduct an inferential test with several sample means, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026conduct an ANOVA.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the strength of a relationship in a simple regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the correlation coefficient.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the explained variation in a simple regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of r-squared.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the effect that an increase in the independent variable has on the dependent variable, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find the value of the dependent variable when then independent variable is zero, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the value of the constant.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to create a graph illustrating the relationship between two ratio-level variables, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026create a scatterplot.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to conduct an inferential test with a simple regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the statistical significance of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to find how far the average sample slope falls from the population slope, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026find the standard error of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a dichotomy as an independent variable in a regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n\n\u2026make sure that the variable’s categories are coded as 0 and 1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\nYou want to use a nominal-level variable with three categories in a regression, you should\u2026<\/span>+<\/span><\/button><\/h3>\n\n\n\n
\u2026engage in the process called imputation.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026create an additive index.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026use the term independent variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026use the term dependent variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026create a grouped frequency distribution.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026create a crosstabulation (or crosstab).<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026engage in the process called elaboration.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026create a histogram.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026create a population pyramid.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026calculcate the Lie Factor for the graph.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the mode.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the median.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026ratio-level variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026use the standard deviation to find the z-score for that case.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026compare the groups’ variances.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the IQV for the variable.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026conduct a chi-square test.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026multiply the number of rows -1 by the number of columns -1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the expected frequencies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026build a confidence interval.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the value of the standard error.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026conduct a t-test.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026add the two sample sizes and subtract 2.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026conduct an ANOVA.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the correlation coefficient.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the value of r-squared.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the value of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the value of the constant.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026create a scatterplot.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the statistical significance of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026find the standard error of the slope.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\u2026make sure that the variable’s categories are coded as 0 and 1.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n