Using small data sets students will use SPSS to do some initial analysis of the data using statistical tests covered in this module. Print-outs from SPSS (only specific tables related to analysis) should be included with assignment.

Assignment hand-in will also include observations and comments on what the data might show/describe.

1. The following data gives the weight (in lbs) and levels of cholesterol (in mg/dl) measurements collected from 14 men as part of their annual physicals. None of these men had previously been assessed for heart disease. You may assume that the data are normally distributed.

1. What assumptions are required to carry out a Pearson’s correlation test?
2. Produce a scatter plot and comment on the linearity of the data. Let us assume that cholesterol is the DV (y) and weight the IV (x).
3. Now produce A PP plot on this set of data and comment on the normality of the data set.
4. Determine if there is any evidence of a relationship between weight and cholesterol levels of men using a two-tailed test. Assume all assumptions are met.
5. What is the coefficient of determination, and what does this tell us?
6. Based on your results what would you conclude clinically from this set of data? Could you generalize these findings to all men?

2. The fasting plasma total cholesterol levels (mg/l) were measured for 20 student nurses aged 21 to 24 years when they entered their nursing program. After a 15 year follow-up, their fasting plasma total cholesterol levels were again measured.

1. Draw a scatter diagram and comment on the linearity of the data. Baseline cholesterol levels (IV=x) and 15 years follow-up cholesterol levels (DV=y).
2. Draw a PP plot and comment on whether the data looks normally distributed.
3. Calculate Pearson’s correlation coefficient. Assume all assumptions are met.
4. Calculate a least-squares regression line for the above data.
5. Use the relationship between the nurse’s initial and post follow-up total cholesterol levels to predict the most likely follow-up total cholesterol level for a 22 year old nursing student who has a baseline total cholesterol level of:

1. 154
2. 366

f) Please comment on what you would report back to the nurses who participated in this study about your results.

3. A group of anesthesiologists wanted to study the effects of age on the duration of epidural anesthesia in a group of surgical patients aged 22 to 80 years. Blood samples were collected at set time intervals after administration of the epidural, and the rate of total plasma clearance (expressed in ml/min) was calculated for each patient. You were asked if you could help the physicians analyze this data. Describe and test the relationship between plasma clearance (DV=y) and age (IV=x).

1. What would the plasma clearance be for a patient ages:

1. 25 years
2. 55 years

b) What would you provide as an explanation of your results to the physicians?

Price: $22.25

Solution: The downloadable solution consists of 14 pages, 825 words and 12 charts.
Deliverable: Word Document