Suppose you are shown a bar chart displaying the number of students in different majors at a university. Which generalization best describes the information provided by this graph?
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: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 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. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 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 best describes the difference between a bar graph and a pie chart when visualizing data?
A
A bar graph displays categories as separate bars to compare their frequencies or counts, while a pie chart shows the proportion of each category as slices of a whole.
B
A bar graph always uses circular shapes, while a pie chart always uses rectangular bars.
C
A bar graph and a pie chart are both used exclusively for displaying time series data.
D
A bar graph is used only for data, while a pie chart is used only for data.
Verified step by step guidance1
Step 1: Understand the purpose of a bar graph. A bar graph represents categorical data with rectangular bars where the length or height of each bar is proportional to the frequency or count of the category it represents.
Step 2: Understand the purpose of a pie chart. A pie chart displays data as slices of a circle, where each slice's size is proportional to the category's proportion or percentage of the whole dataset.
Step 3: Compare the visual representation. Bar graphs use separate bars to compare categories side-by-side, making it easier to compare exact values, while pie charts emphasize the part-to-whole relationship by showing how each category contributes to the total.
Step 4: Recognize the types of data suitable for each. Both bar graphs and pie charts are typically used for categorical (qualitative) data, but bar graphs can also be adapted for some quantitative comparisons, whereas pie charts focus on proportions within a single categorical variable.
Step 5: Evaluate the incorrect options by identifying misconceptions: bar graphs do not use circular shapes, pie charts are not for time series data, and both graphs are not restricted exclusively to quantitative or qualitative data in the way described.
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