Titanic Dataset Survival Analysis

This video tutorial demonstrates how to create and analyze a contingency table using the Titanic dataset in StatCrunch. It explores whether children were more likely to survive than adults by examining survival rates across age groups. The tutorial guides viewers through creating a two-way table, calculating percentages, and interpreting results to find evidence supporting the hypothesis that children had a higher survival rate.

What is the total number of people in the Titanic dataset used in the video?

• 1500

• 2201

• 2000

• 1800

Which variables are considered in the Titanic dataset?

• Age and Gender

• Class and Survival

• Age and Survival

• Gender and Class

What question does the video aim to explore regarding the Titanic dataset?

• Whether men were more likely to survive than women

• The role of crew members in survival

• If children were more likely to survive than adults

• The impact of class on survival

What is a contingency table also known as?

• Data summary table

• Two-way table

• Frequency table

• One-way table

In StatCrunch, which option should you select to create a contingency table with data?

• From template

• With data

• With summary

• From scratch

When creating a contingency table, which variable is typically chosen as the row variable?

• The variable with fewer categories

• The response variable

• The explanatory variable

• The variable with more categories

What does the row percentage in a contingency table represent?

• The percentage of the entire dataset

• The percentage of each row

• The total percentage of the table

• The percentage of each column

How many adults were in the Titanic dataset according to the contingency table?

• 2092

• 109

• 711

• 1490

What percentage of children survived according to the contingency table?

• 31%

• 52%

• 45%

• 60%

What is the total number of survivors in the Titanic dataset?

• 1490

• 711

• 2201

• 109