Suppose you are shown a graph that displays the number of students in each major at a university using separate bars for each major. Which type of graph is being displayed?
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 is a primary benefit of using graphs of frequency distributions when visualizing data?
A
They convert qualitative data into quantitative data automatically.
B
They guarantee that the data is normally distributed.
C
They eliminate all outliers from the dataset.
D
They make it easier to identify patterns and trends in the data.
Verified step by step guidance1
Understand that a frequency distribution graph visually represents how often each value or range of values occurs in a dataset.
Recognize that such graphs help in summarizing large datasets by showing the distribution of data points clearly.
Note that frequency distribution graphs do not convert qualitative data into quantitative data; rather, they display the frequency of categories or values as they are.
Acknowledge that these graphs do not guarantee any specific distribution shape, such as normality, nor do they remove outliers from the data.
Conclude that the primary benefit of using frequency distribution graphs is that they make it easier to identify patterns and trends in the data by providing a clear visual summary.
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