Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
2. Describing Data with Tables and Graphs
Histograms
Problem 2.3.12
Textbook Question
Graphical Analysis In Exercises 9–12, determine whether the approximate shape of the distribution in the histogram is symmetric, uniform, skewed left, skewed right, or none of these. Justify your answer.


1
Observe the histogram provided. Note the frequency of data points across the intervals on the x-axis (52.5, 62.5, 72.5, 82.5). The bars increase in height as we move to the right, peaking at the interval 82.5, and then slightly decreasing.
Determine the symmetry of the distribution. A symmetric distribution would have a mirror-like shape around its center. In this case, the histogram is not symmetric because the left side is much shorter than the right side.
Evaluate whether the distribution is uniform. A uniform distribution would have bars of approximately equal height across all intervals. This histogram does not exhibit uniformity as the heights of the bars vary significantly.
Assess whether the distribution is skewed left or skewed right. A skewed left distribution has a longer tail on the left side, while a skewed right distribution has a longer tail on the right side. Here, the histogram has a longer tail on the left side, indicating it is skewed left.
Conclude the shape of the distribution. Based on the observations, the histogram is skewed left. This conclusion is justified by the longer tail on the left side and the peak occurring towards the right side of the graph.

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