Which of the following data sets is best visualized using a dashboard to effectively communicate both categorical and numerical information?
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
What is the best way to represent the shape of a large population of measurements?
A
A bar chart of categories
B
A scatterplot of two categorical variables
C
A pie chart
D
A histogram
Verified step by step guidance1
Understand that the shape of a large population of measurements refers to the distribution of the data, showing how values are spread across different ranges.
Recognize that bar charts and pie charts are typically used for categorical data, which represent distinct groups rather than continuous measurements.
Know that scatterplots are used to show relationships between two variables, often numerical, but not primarily to represent the shape of a single variable's distribution.
Learn that a histogram is a graphical representation that groups continuous data into intervals (bins) and displays the frequency or count of data points within each bin, effectively showing the shape of the distribution.
Therefore, to represent the shape of a large population of measurements, use a histogram because it visually summarizes the distribution and highlights features like skewness, modality, and spread.
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