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
3. Describing Data Numerically
Standard Deviation
Problem 6.c.1d
Textbook Question
In Exercises 1 and 2, use the following wait times (minutes) at 10:00 AM for the Tower of Terror ride at Disney World (from Data Set 33 “Disney World Wait Times†in Appendix B).
35 35 20 50 95 75 45 50 30 35 30 30
d. Find the variance.

1
Step 1: Calculate the mean (average) of the data set. The formula for the mean is: , where is the number of data points and is the sum of all data points.
Step 2: Subtract the mean from each data point to find the deviation of each data point from the mean. This is calculated as: for each data point.
Step 3: Square each deviation to eliminate negative values. This is calculated as: for each data point.
Step 4: Find the average of the squared deviations. This is the variance, and the formula is: , where is the number of data points.
Step 5: Plug in the values from the data set into the formula and compute the variance. Ensure all calculations are accurate and double-check your work.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Variance
Variance is a statistical measure that represents the degree of spread or dispersion of a set of data points around their mean. It quantifies how much the individual data points differ from the average value. A higher variance indicates that the data points are more spread out, while a lower variance suggests they are closer to the mean. Variance is calculated by taking the average of the squared differences from the mean.
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Mean
The mean, often referred to as the average, is a measure of central tendency that is calculated by summing all the values in a data set and dividing by the number of values. It provides a single value that represents the center of the data distribution. Understanding the mean is essential for calculating variance, as it serves as the reference point from which deviations are measured.
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Data Set
A data set is a collection of related values or observations that can be analyzed statistically. In this context, the data set consists of wait times for a specific ride, which can be used to calculate various statistical measures, including variance. Understanding the structure and characteristics of the data set is crucial for accurate analysis and interpretation of results.
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