When visualizing quantitative data using a histogram, which of the following correctly describes the shape of the distribution?
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 would not be a valid way to summarize or visualize a categorical variable?
A
A pie chart
B
A histogram
C
A bar chart
D
A frequency table
Verified step by step guidance1
Step 1: Understand what a categorical variable is. A categorical variable represents data sorted into categories or groups, such as colors, types, or labels, rather than numerical values.
Step 2: Review common methods to summarize or visualize categorical data. These include frequency tables (which list counts for each category), bar charts (which display the counts or proportions of categories as bars), and pie charts (which show the proportion of each category as slices of a circle).
Step 3: Understand what a histogram is. A histogram is used to visualize the distribution of numerical data by grouping data into bins or intervals and showing the frequency of data points in each bin.
Step 4: Compare the suitability of each method for categorical data. Since histograms require numerical intervals, they are not appropriate for categorical variables, which do not have a natural numeric order or intervals.
Step 5: Conclude that among the options given, a histogram would not be a valid way to summarize or visualize a categorical variable.
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Visualizing Qualitative vs. Quantitative Data practice set

