Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Stats
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is NOT quantitative data?
A
The amount of hours students study per week
B
The heights of basketball players (in centimeters)
C
The brands of smartphones owned by students
D
The outcomes of ten rolls of a standard six-sided die

1
Understand the difference between quantitative and qualitative data. Quantitative data is numerical and can be measured, while qualitative data is descriptive and categorizes items.
Examine each option to determine if it is quantitative or qualitative. Quantitative data involves numbers and measurements, such as hours, heights, or outcomes of dice rolls.
Consider the first option: 'The amount of hours students study per week.' This is quantitative data because it involves measuring time in hours.
Look at the second option: 'The heights of basketball players (in centimeters).' This is quantitative data because it involves measuring height in centimeters.
Evaluate the third option: 'The brands of smartphones owned by students.' This is qualitative data because it categorizes the type of smartphone without involving numerical measurement.
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