SPSS LAP assignment

STAT 509 LAB 4 Assignment Name_______________________

Instructions:

1) Due Date

· May 14 @ 11:50pm

2) Assignment submission:

· When you submit an electronic file (assignment) you must use the following format: This is for: LAST NAME (in upper case), your first name, the course code, activity/assignment number and file format

· For example: SMITHJohn-STAT509-A1.doc

Assignment:

As has been mentioned before, the first step in any analysis of a data set is to look at a distribution of the variables of interest. One assumption of many statistical tests is that the shape of the distribution is relatively normal. If the distribution is not normal, a transformation may help to normalize it (we will not do this step in this class). Assume all the assumptions are met, please use assignment# 4 dataset to answer the following questions:

1. Is the mean cholesterol of the population represented by the people attending the seminar significantly different from what is considered a safe level? We will choose 5.0 mmo1/1 as an upper limit safe level.

Hypothesis: H0: µ= 5.0 mmo1/1 Ha: µ ≠ 5.0 mmo1/1

	N	Mean	Std. Deviation	t-value	P-value (Sig. [2-tailed])	Mean Difference	95% CI of the Difference
							Lower	Upper
Cholesterol level at baseline

Decision:

Fail to reject the null hypothesis (FTR) Reject

Interpretation:___________________________________________________________________________________________________________________________________________________________________________________________________________________________

_____________________________________________________________________________

2. Is the mean baseline BMI level different for the smokers versus the non-smokers?

Hypothesis: H0: Ha:

	Group	N	Mean	Std. Deviation	t-value	P-value (Sig. [2-tailed])	Mean Difference	95% CI of the Difference
								Lower	Upper
BMI	Smokers
	Non-smokers

Decision:

Fail to reject the null hypothesis (FTR) Reject

Interpretation:___________________________________________________________________________________________________________________________________________________________________________________________________________________________

_____________________________________________________________________________

3. Is there a statistically significant change in BMI after 6 weeks compared to BMI at baseline?

Hypothesis: H0: Ha:

	Time	N	Mean	Std. Deviation	t-value	P-value (Sig. [2-tailed])	Mean Difference	95% CI of the Difference
								Lower	Upper
BMI	Time 2(week 6)
	Time 1(at baseline)

Decision:

Fail to reject the null hypothesis (FTR) Reject

Interpretation:___________________________________________________________________________________________________________________________________________________________________________________________________________________________

_____________________________________________________________________________