Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 17m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample1h 8m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
2. Describing Data with Tables and Graphs
Visualizing Qualitative vs. Quantitative Data
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is NOT a valid sparkline type in data visualization?
A
Column
B
Bar
C
Line
D
Win/Loss

1
Understand the concept of sparklines: Sparklines are small, simple charts embedded in text or tables to provide a quick visual representation of data trends. Common types include Line, Column, and Win/Loss.
Review the provided options: Column, Bar, Line, and Win/Loss. Compare each option to the standard sparkline types used in data visualization.
Recall that Bar charts are not typically considered a valid sparkline type. Sparklines are designed to be compact and minimalistic, whereas Bar charts are larger and more detailed.
Confirm that Column, Line, and Win/Loss are valid sparkline types. These are commonly used in tools like Excel for quick data visualization.
Conclude that the correct answer is 'Bar,' as it is not a valid sparkline type in data visualization.
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