The relationship between survival and sex and summary of the output.

Question

Want to see more full solutions like this?

Answer 1

Question

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Students have asked these similar questions

Techniques QUAT6221 2025 PT B... TM Tabudi Maphoru Activities Assessments Class Progress lIE Library • Help v The table below shows the prices (R) and quantities (kg) of rice, meat and potatoes items bought during 2013 and 2014: 2013 2014 P1Qo PoQo Q1Po P1Q1 Price Ро Quantity Qo Price P1 Quantity Q1 Rice 7 80 6 70 480 560 490 420 Meat 30 50 35 60 1 750 1 500 1 800 2 100 Potatoes 3 100 3 100 300 300 300 300 TOTAL 40 230 44 230 2 530 2 360 2 590 2 820 Instructions: 1 Corall dawn to tha bottom of thir ceraan urina se se tha haca nariad in archerca antarand cubmit Q Search ENG US 口X 2025/05

The table below indicates the number of years of experience of a sample of employees who work on a particular production line and the corresponding number of units of a good that each employee produced last month. Years of Experience (x) Number of Goods (y) 11 63 5 57 1 48 4 54 45 3 51 Q.1.1 By completing the table below and then applying the relevant formulae, determine the line of best fit for this bivariate data set. Do NOT change the units for the variables. X y X2 xy Ex= Ey= EX2 EXY= Q.1.2 Estimate the number of units of the good that would have been produced last month by an employee with 8 years of experience. Q.1.3 Using your calculator, determine the coefficient of correlation for the data set. Interpret your answer. Q.1.4 Compute the coefficient of determination for the data set. Interpret your answer.

Q.3.2 A sample of consumers was asked to name their favourite fruit. The results regarding the popularity of the different fruits are given in the following table. Type of Fruit Number of Consumers Banana 25 Apple 20 Orange 5 TOTAL 50 Draw a bar chart to graphically illustrate the results given in the table.

Answer 2

Question

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Question

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Question

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.

Answer 6

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.

Answer 7

Chapter 2, Problem 172E

To determine

To find: The relationship between survival and sex and summary of the output.

Answer 8

Expert Solution & Answer

Answer to Problem 172E

Solution: There is 0.529 correlation between survival and sex and the conditional distribution of survival and nonsurvival of male and female is provided below:

Sex	Survived	Not survived
Female	0.725	0.274
Male	0.191	0.808

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

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	339467=0.726	128467=0.274	1
Male	161842=0.191	681842=0.809	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 → Recode into same variable → Select “sex” in Numeric Variables → click on Old and New Values.

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 → Correlate → Bivariate.

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.