The question asks for classifying data types (quantitative or qualitative) for each scenario listed. Here’s an analysis for each:

1. Determining which people in class are tall vs. which people in class are short.

   • Data Type: Qualitative (classifying people based on categories: tall or short)

2. A student at CHS polled all teachers in the school district to determine if each teacher bought their car as new or used.

   • Data Type: Qualitative (categorizing each car as either new or used)

3. A research psychologist sent out a questionnaire to determine how many dreams each subject has per week.

   • Data Type: Quantitative (counting the number of dreams, which is numerical)

4. A football coach researched a certain offensive play his team ran during a season. The results of the play were recorded as positive, negative, or zero yardage.

   • Data Type: Quantitative (yardage is a measurable quantity, even if categorized as positive, negative, or zero)

5. Each Junior’s ACT in the USA was collected to determine trends.

   • Data Type: Quantitative (ACT scores are numerical values that can indicate trends)

6. A basketball coach reviewed the free throw percentages of all players on the team.

   • Data Type: Quantitative (percentages are numerical and measurable)

7. Hospitals across the world record the EKG’s of patients. Certain patterns in the EKG’s have been determined to indicate a healthy heart and other patterns have been determined to indicate a diseased heart.

   • Data Type: Qualitative (categorizing patterns as either “healthy” or “diseased”)

8. A baseball coach reviews each player’s batting averages vs. left-handed pitchers.

   • Data Type: Quantitative (batting averages are numerical values)

If you'd like further clarification or have questions about these classifications, feel free to ask!

Questions for deeper understanding:

1. What are the key differences between quantitative and qualitative data?
2. How can quantitative data be further divided into discrete and continuous types?
3. Can qualitative data sometimes be represented numerically? Give an example.
4. How do researchers ensure consistency when collecting qualitative data?
5. In what cases would a researcher prefer qualitative data over quantitative data?

Tip:

Quantitative data can be easily analyzed using mathematical calculations, while qualitative data often requires categorization and descriptive statistics for meaningful insights.