In the context of visualizing data, which type of graph is most commonly used to display quantitative data grouped into ranges or intervals?
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 are considered forms of data in statistics?
A
Computers and files
B
Files and graphs only
C
Text, photos, and podcasts
D
Graphs and computers
Verified step by step guidance1
Understand that in statistics, 'data' refers to pieces of information collected for analysis. Data can be in various forms such as numbers, text, images, audio, and more.
Recognize that 'computers' and 'files' themselves are not data; rather, they are tools or storage mediums that hold data.
Identify that 'graphs' are visual representations of data, not raw data themselves, so they are a way to display data but not data forms per se.
Note that 'text', 'photos', and 'podcasts' are all examples of raw data types: text is written data, photos are image data, and podcasts are audio data.
Conclude that the correct forms of data in statistics include text, photos, and podcasts, as these represent actual data content rather than tools or representations.
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