A chi square test for independence and homogeneity is appropriate if:Question 5Select one:a.the data is normally distributedb.the expected frequency in each cell is less than 5c.the sample size is greater than 30d.the expected frequency in each cell is 5 or greater

A chi square test for independence is appropriate for:Question 4Select one:a.data from a single random sample where the sample is classified by the values of three or more categorical variables.b.data from samples from two or more populations where each sample is classified by values of two categorical variables.c.data from a single random sample where the sample is classified by values of two categorical variables.d.data from samples from two or more populations where each sample is classified by values of a single categorical variable.

What does a chi-square test compare?Question 4Answera.the frequency of incorrect responses for each variableb.correct and incorrect reaction timesc.the observed and total frequencies for each individual participantd.the observed and expected frequencies for each cell

3. The Chi Square test is applicable for a given data, if*

A necessary assumption that is made when conducting a chi-squared analysis is: (select the one false statement)Group of answer choicesat least 80% of the observed frequencies are greater than or equal to 5all expected frequencies are greater than or equal to 1the sample size is large enough to approximate a Binomial random variable by a normal random variablethe sample data consist of frequency counts for different categories of a tablea subject can only fit into one category of the table (i.e. they belong with only one cell of the table)

Chi-square analysis enables researchers to test for statistical significance between the frequency distributions of two or more nominally scaled variables in a cross-tabulation table to determine if there is any association between the variables. True False