Exploring Conditional Relative Frequency and Association

The video tutorial covers conditional relative frequency, explaining how it differs from relative frequency by focusing on specific subsets of data. It provides examples using project scores and pet ownership data to illustrate calculations. The concept of association is introduced, explaining how to determine if two variables are related using conditional relative frequencies. The tutorial emphasizes that association does not imply causation, using examples like sports car ownership and running habits, and homework completion and class attendance. The video concludes with a reminder to review examples for better understanding.

What is the percentage of males who earned an A?

• 23.68%

• 42.86%

• 27.14%

• 28.57%

What percentage of A scorers were male?

• 23.68%

• 42.86%

• 27.14%

• 28.57%

What percentage of females earned an A?

• 27.14%

• 42.86%

• 23.68%

• 28.57%

What percentage of A scorers were female?

• 23.68%

• 42.86%

• 28.57%

• 27.14%

Among those allergic to animals, what percentage have pets?

• 86.94%

• 14.29%

• 13.06%

• 77.17%

What percentage of pet owners are not allergic to animals?

• 13.06%

• 86.94%

• 14.29%

• 77.17%

Is there an association between having a sports car and running regularly?

• Data is inconclusive

• Yes, significant association

• Not enough information

• No, no significant association

What indicates an association between two variables?

• All participants have the same response

• Significant difference in conditional relative frequencies

• No difference in conditional relative frequencies

• Equal number of participants in each category

Does doing homework associate with skipping class?

• Not enough information

• Data is inconclusive

• No, they are not associated

• Yes, they are associated

Can association imply a cause-and-effect relationship?

• Not applicable

• Sometimes, but not always

• Never

• Always