Which of the following is useful when you want to organize and summarize your data in a report?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
2. Describing Data with Tables and Graphs
Visualizing Qualitative vs. Quantitative Data
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 an example of ?
A
The brands of smartphones owned by employees
B
The types of cuisine served at a restaurant
C
The colors of cars in a parking lot
D
The heights of students measured in
Verified step by step guidance1
Understand the difference between qualitative and quantitative data. Qualitative data describes categories or qualities, such as brands, types, or colors, which cannot be measured numerically.
Quantitative data, on the other hand, consists of numerical values that represent measurable quantities, such as height, weight, or age.
Review each option and determine if it represents a measurable quantity or a category. For example, 'brands of smartphones' and 'types of cuisine' are categories, so they are qualitative data.
Recognize that 'heights of students measured in centimeters' is a numerical measurement, making it quantitative data.
Conclude that the example of quantitative data is the one involving heights, as it involves numerical values that can be measured and analyzed mathematically.
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Visualizing Qualitative vs. Quantitative Data practice set

