Question 1 let say a researcher who wants to study on...

Question 1) Let say a researcher who wants to study on physical activity of nursing students. A researcher wants to examine the physical activity by student year in school (freshman, sophomore, junior, and senor). He will use established physical activity measurement. a) What statistical test researcher should use? 1. Two sample T-test 2. Analysis of Variance (ANOVA) 3. Two sample proportion 4. None of above b) Write the null and alternative hypothesis for part a. 1. Ho: m1 = m2 =m3 = m4 and H1: At least one test is not equal 2. Ho: m1 = m2 and H1: At least one test is not equal 3. Ho: m3 = m4 and H1: At least one test is not equal 4. None of above

Transcript

00:01 Okay, so we have some different statistical analyses that we're going to figure out what to use for what.

00:05 Okay? so for the first one, we're asking is the percentage of females at the university different from 0 .5.

00:13 So we've just got one little proportion that we're looking at here.

00:16 So this is going to be a one sample proportion z test.

00:21 Okay.

00:25 For the second one, we're asked what, we're asked are these two, categorical variables associated, right? class and region associated.

00:38 So when you have two categorical variables and you're trying to see whether they are related to each other, that's going to be a kai square test.

00:49 For the third one, we've got two variables.

00:52 We've got average gpas and we've got two populations that we're looking for.

00:57 We're looking for the mean gpa for the women and the mean gpa for the men and we're trying to see if they are equal to each other.

01:05 In this case we've got two different means that we're trying to compare, right? so this is going to be a two sample means t test.

01:16 For the fourth one, we're asked is the average gpa 3 .0.

01:23 So this one, we've just got one little, one simple mean that we're trying to look at, right? so this is going to be a one sample means t test.

01:37 For the fifth one, we're looking at an association, once again, between two categorical variables, right? we've got association between sex and town.

01:49 So that is, once again, going to be a kai square test, because we've got two categorical variables that we're trying to see if they're related.

01:59 For the sixth one, we're looking at do males have a mean higher student debt on average than females.

02:07 Once again, we've got two means that we're comparing, right? the mean for women versus the mean for men.

02:14 So that's going to once again be a two sample means t test.

02:22 For number seven, we've got three different means that we're comparing, right? we've got the mean gpas for science, education, and communications.

02:33 So we've got a mean for science and the mean for education and the mean for communications that we're trying to see if they're all the same...

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