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Concept explainers
To find: The relationship between survival and sex and summary of the output.
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Answer to Problem 146E
Solution: There is 0.529
Sex |
Survived |
Not survived |
Female |
0.725 |
0.274 |
Male |
0.191 |
0.808 |
Explanation of Solution
Given: A data regarding the survival and nonsurvival of male and female of TITANIC passenger is provided and this has been categorized with respect of their sex, which is mentioned below in tabular form:
Category |
Survived |
Not survived |
Total |
Female |
339 |
128 |
467 |
Male |
161 |
681 |
842 |
Total |
500 |
809 |
1309 |
Calculation: The conditional distribution is obtained by dividing the row or column elements by the sum of that row or column observation. The conditional distribution of both the sex of their survival and nonsurvival is provided below:
Sex |
Survived |
Not survived |
Total |
Female |
1 |
||
Male |
1 |
The correlation of the sex and the survival can be calculated by using the software SPSS by following steps:
Step 1: Insert the data into the worksheet.
Step 2: Go to Transform
Step 3: In ‘Old Value’ column, write “male” and in ‘New Value’ column write “1”. After this click on ‘Add’, and again go to the ‘Old Value’ column write “female” and in ‘New Value’ column write “2”.
Step 4: Click on the button “Continue” and click OK.
Step 5: Go to Analyze
Step 6: Select “Survived” and “Sex” in Variables column.
Step 7: Click OK.
After implementing these steps, the correlation between survived and sex will appear in the output window, which is 0.529.
Interpretation: The Survival and Sex are 52.9% correlated and 72.6% female survived and 19.1% male survived. Also, 27.4% female could not survive and 80.9% male could not survive. Hence, it can be concluded that the survival rate of females in Titanic was more in comparison to the male survival rate.
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Chapter 2 Solutions
Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card
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