A1. Do all of these DVs look pretty normally distributed? Use the appropriate st

Question

A1. Do all of these DVs look pretty normally distributed? Use the appropriate statistics to back up your conclusions about normality.

B3. Based on the 4 boxplots (gender, marital status, ed_level, smoking) for BP, which factors seem to have no effect on BP and which ones have some effect? Be sure to address each IV.

B2. Describe the pattern of effects. In other words, say who has higher or lower BP for the groups in each IV.

B1. Write down your explanation of the patterns. Why would some groups (e.g., single vs. married) have higher BP than others?

C1. In the scatterplot do you see any relationship between age and blood pressure? In other words is there a linear relationship (a straight line) or no relationship?

Statistics SERUM cholesterol SYSTOLIC BP 100 100 100 Valid Missing Mean Median Mode Std. De viation Skewness Std. Error of Skewness a. Multiple modes exist. The smallest value is shown 150.0300 149.0000 112.00 29.84318 341 241 214.9100 210.0000 199.00 21.96880 130.2500 129.0000 120.00 12.74646 687 241 241

Explanation / Answer

A1) For normal distribution, mean =median=mode.

But in the given table, none are equal or atleast close to equal. So none of them are normal

C1)

In the above scatter plot, there is a strong positive correlation between age and blood pressure.

So if age increase blood presure also increase.

B3) Gender does not have effect on blood presure. If you observe the box plot, we can see there is no change in distribution among male and female.

B2) In gender - male and female have same level of BP

Marital - w has high BP level and s have low BP level

Edu - <HS have high BP level, BA has low BP level

Smoking: Light have low bp level, heavy have high BP level

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