R/Rstudio

Use the Cheating_1 data set..

T-tests

include a measure of effect size if appropriate.

Determine if the average level of blame assigned to a student for cheating was different for males versus females. Write up the results of your findings and include a measure of effect size if appropriate.

Determine if more blame was assigned to teachers or to students when cheating occurs.

Concept/calculation questions:

1.A test of emotional intelligence was given to 241 women and 89 men.The results were as follows:For women, mean = 96.62 with a standard deviation of 10.34; for men, mean=89.33, standard deviation=11.61.Was this difference statistically significant (alpha = .05)? How large was the effect, as indexed by Cohen's d?

2.In what situations should the paired samples t test be used rather than the independent samples t test?

3.Identify an appropriate IV and DV in your area of interest that could be used in a t-test (independent or dependent).Explain which type of t-test is appropriate and why.

4.The chi-square goodness-of-fit test and the chi-square test of association are both types of chi-square analyses.What is different between these two types of analyses?

5.Identify 2 categorical variables.Use these variables to write 2 questions that could be tested with chi-square tests (one for each type of chi-square analysis).

6.Z, all types of t (single, independent, and paired), F, and ² ratios are similar in what ways?(Hint:Think about the numerator and denominator).