A correlation coefficient provides two pieces of information about a relationship between two variables. These are -Strength; direction of relationship - Direction, proportions - Direction, which one causes which - Which one causes which, effect size.
A
-Strength; direction of relationship
- Direction, proportions
- Direction, which one causes which
- Which one causes which, effect size.
READ FIRST: Show as much of your work in the text box below as possible, and include the rest in your scratch work. Scratch work supports what you write on this exam form. At the minimum, type your answers to each of the following 5 questions A-E in the text box - do not refer me to your scratch work for the answers. Do show your work (on the exam form or scratch work) for the calculations needed to answer B, so partial credit can be given in the case of a math error that throws off your calculations. The best way to do this is inside tables if possible. Total 10 15 You conduct a survey to find out whether talking on a cell phone during a romantic date bothers people. You want to find out if there is a gender difference on this issue, so of course you put your data into a cross-tabulation and conduct a chi square test for independence. Here is what the [fictional] data looks like:
A. What are the null and alternative hypotheses?
B. What is the value of the chi square statistic? Report it in the text box below, not just on your scratch work. But do be sure that your scratch work shows the calculations so partial credit can be given.
C. What are the degrees of freedom for the hypothesis test?
D. Is the chi square statistically significant at p<.05?
E. What do you conclude about your hypothesis?
State your conclusion using for context the variables of interest, using complete sentences.
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