Question

A professor notices that in their introductory sociology class, more women tend to sit up front and more men in the back. In order to determine whether this difference is significant, the professor collects data on seating preferences for the students in their class. The data appear below:
**Note when entering in data on SPSS, you must know the total number of males and females and the total number students who sit in the front of the room and the back of the room so you know how many combinations of (1,1  etc.) you need to enter into SPSS. The instructions have an example of what this means**

	Males	Females
Front of the room Back of the room	17 30	30 25

1. Write the null and alternative hypothesis for the research scenario above.
   
   
   
2. Compute the chi-square statistic using SPSS. Refer to the SPSS instructions on Canvas as they outline how to run the chi-square analysis on SPSS.
   
   
3. In the box below, enter in the expected frequencies from the SPSS output.

	Males	Females
Front of the room Back of the room	______ ______	_____ _____

     d) Based on the SPSS output, what can we conclude about the relationship between gender and seating preference? Discuss main differences between the observed and expected frequencies. The instructions show an example of how to report the statistics as well as the slides.

Answer 1

a)
Ho: there is no relationship between gender and seating preference
Ha: there is relationship between gender and seating preference

b)
TS = 3.4444

c)
Expected value are in Ei table

d)
since TS < critical value at alpha = 0.05
we fail to reject the null hypothesis
we conclude that there is no significant relationship between gender and seating preference