Descriptive statistics and graphical analysis

SPSS Statistics: Data Analysis

On average, men who were alive 10 years after the study had reported smoking 10.39 cigarettes per day in 1958 compared to 13.69 cigarettes per day for men who were no longer alive 10 years past the study. The group of men who were alive 10 years after the study also had a much larger proportion of individuals reporting that they smoked no cigarettes at all in 1958, despite the fact that this group also had a greater range in responses (0 -- 60 vs. 0 -- 40) compared to the men who were not alive 10 years after the study. Basic numbers may not be the best representations of these groups though, as the sample size is not equal. There are 178 men who were alive 10 years after the study, and only 61 men who had died during the 10 years following the study. As a comparison, nearly 50% of the sample of men who had died 10 years following the study reported smoking 20 cigarettes per day in 1958, compared to 25% of the sample of men who were alive 10 years after the study. The histograms shown below along with these statistics point to a very plausible link between cigarette smoking and fatality within this sample.

Part 2

a. Does race influence job satisfaction?

Race would be the Independent Variable and Job Satisfaction would be the Dependent Variable. Means.

b. Do the genders differ in their belief in life after death?

Gender would be the Independent Variable and Belief in life after death would be the Dependent Variable. Means. There is a significant difference between men and women, such that men are more likely to believe in life after death.

c. Does excitement with life vary by Astrological sign?

Astrological sign would be the Independent Variable and Excitement with Life would be the Dependent Variable. Crosstabs was used: Pieces and Leos report the most excitement with life.

d. Does the highest degree obtained by one's mother influence the highest degree earned by your daughter?

Highest degree obtained by mother would be the Independent Variable and Highest degree earned by daughter would be the Dependent Variable. Crosstabs would be used to test this association. There is a significant correlation between the education of a mother and a daughter (r = .474, p < .01).

e. Does Belief in Life After Death impact one's happiness in their marriage?

Belief in life after death would be the Independent Variable and Happiness in one's marriage would be the Dependent Variable. Crosstabs would be used to test this association. 83.8% of people who report being very happy in their marriage believe in life after death. 66.7% of people who report being not very happy with their marriage believe in life after death.

Part 3

a. How many people without a high school diploma find life exciting?

66

b. What percentage of people without a high school diploma find life exciting?

35.5%

c. Of the people who find life exciting, what percentage do not have a high school diploma?

14%

d. If degree is the column variable and life is the row variable, what kind of percentages should compare for the table?

The percentages would remain the same, they would just be found in a different cell.

e. Summarize the relationship, if any, between perception of life and highest degree earned.