Question

Over the last 20 years, the number of students who hold a job while attending university fulltime has increased. Work responsibilities may ‘compete’ for time and energy with course responsibilities, and consequently, may affect student academic success. An educational researcher is interested in determining whether student employment influences academic success. The research has obtained a relevant sample of university students, and has determined the following information for each student:

i. their employment status (specifically, the typical number of hours worked per week during the school term)

ii. their course grades for the most recent school term (specifically, their mean grade (%) across all their courses during the school term).

1. Based on your answers to part a, identify which of the inference procedures covered in 2244 is most appropriate to analyse the researcher’s data?
2. Assume the researchers for the above scenario have obtained relevant simple random sample(s). Identify (by name) the sampling distribution that underlies the statistical inference procedure named in part b. Then, give the formulae for the mean and standard deviation for the sampling distribution you have identified.

Answer 1

Dear the question is not clear, but I tried to help in your studies..

Here, an educational researcher is interested in determining whether student employment influences academic success.

So researcher is checking whether there is any association between them.

Chisquare test is very good approach here. Chisquare test of indepence will give answer to that.

Sampling distribution I suggested is Chisquare distribution . Its mean is equal to its number of degree of freedom (n) and Standard deviation is square root of two times degree of freedom (✓2*n)