ANSWER:
Given that,
a)
Null hypothesis:There is no difference in
proportion;
Alternate hypothesis:There is a significant
difference in proportion;
b)
There are three basic conditions for inference on proportion,
1) Random => satisfied as data values are randomly selected
2) Normal => Satisfied
3) Independent => Not satisfied as the data values are from same MATH students. hence there responses will be biased.
Sample size used, n = 183
proportion of students say 'yes' is the middle value of 92% CI,
4 Hem' in th he n e yol more hard-wor (median) UCSD student?" You might wonder what percentage, p, of UCSD stud...
4. Here's a simple question that makes a big mess: "Are you more hard-working than the average (median) UCSD student?" You might wonder what percentage, p, of UCSD students would say "yes" to this (if you force a yes/no binary a. Set up hypotheses that make sense for this scenario. Use a two-sided alternative and give a reason why p might be larger than the value set in the null hypothesis, and a reason why p might be less. b....