Made in America A random sample of 2163 adults (aged 18 and over) was asked, “When you see an ad emphasizing that a product is ‘Made in America,’ are you more likely to buy it, less likely to buy it, or neither more nor less likely to buy it?” The results of the survey are presented in the side-by-side bar graph. Which age group has the greatest proportion who are more likely to buy when made in America?
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
Bar Graphs and Pareto Charts
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 primary purpose of bar graphs?
A
To display the relationship between two quantitative variables
B
To show how a whole is divided into proportional parts
C
To visually compare the frequencies or counts of different categories of data
D
To illustrate the distribution of a continuous variable over intervals
Verified step by step guidance1
Understand that bar graphs are used to represent categorical data, where each bar corresponds to a category and its height represents the frequency or count of that category.
Recognize that bar graphs are not typically used to display relationships between two quantitative variables; that role is better suited for scatter plots or line graphs.
Note that showing how a whole is divided into proportional parts is the primary purpose of pie charts, not bar graphs.
Understand that illustrating the distribution of a continuous variable over intervals is usually done with histograms, which look similar to bar graphs but represent continuous data.
Conclude that the primary purpose of bar graphs is to visually compare the frequencies or counts of different categories of data, making it easier to see differences among categories.
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