*Please break it down so I can understand what is going on! I am pretty confiden
ID: 3338456 • Letter: #
Question
*Please break it down so I can understand what is going on! I am pretty confident in the answers I provided for the word questions
Use the following information to answer the questions:
To test whether male or female MSU undergrad students have a greater tendency to feel stressed during finals weeks, we randomly sampled 200 current UofA undergraduate students (100 men and 100 women). From our sample, we found that 89 of our 100 men and 77 of our 100 women answered as feeling stressed during finals weeks. ----
What would the value of the observed difference in proportions (men - women) be for this study?
Question options:
-0.12
1.66
-1.66
0.12
-----
In a simulation test for the difference in proportions, where would the distribution be centered? Explain.
Question options:
At the sample difference in proportions, because we assume there is a difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
At zero, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
At 1, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
At 0.5, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
----
** Super confused on this one:
What would the value of the relative risk be if there was no association between gender and feeling stress before finals week?
---
If the results are statistically significant, what is the scope of inference for this study?
Question options:
Non-causal association to the population
Causal association to the population
Causal association to individuals similar to the sample
Non-causal association to individuals similar to the sample
-0.12
1.66
-1.66
0.12
-----
In a simulation test for the difference in proportions, where would the distribution be centered? Explain.
Question options:
At the sample difference in proportions, because we assume there is a difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
At zero, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
At 1, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
At 0.5, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week
----
** Super confused on this one:
What would the value of the relative risk be if there was no association between gender and feeling stress before finals week?
---
If the results are statistically significant, what is the scope of inference for this study?
Question options:
Non-causal association to the population
Causal association to the population
Causal association to individuals similar to the sample
Non-causal association to individuals similar to the sample
Explanation / Answer
What would the value of the observed difference in proportions (men - women) be for this study?
here pmen = 89/100 = 0.89 and pwomen = 77/100 = 0.77
pmen - pwomen = 0.12
In a simulation test for the difference in proportions, where would the distribution be centered? Explain.
It is obvious that distibution will be centered at pdifference = 0. because At zero, because we assume there is no difference in true proportion of male undergrad MSU students who feel stressed during finals week and the true proportion of female undergrad MSU students who feel stressed during finals week.
What would the value of the relative risk be if there was no association between gender and feeling stress before finals week?
The value of relative risk will be zero if there is no association between gender and feeling stress. Because relative risk exists only when there is an associations.
If the results are statistically significant, what is the scope of inference for this study?
If results are signifcant that means men are more prone for examination stress. That means that will prove a association between stress and gender. Here the association is causal as the stress is due to examination pressure and here we have scope of inference here is UoFA undergraduate so Option C is correct.
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