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 3.3.7c
Textbook Question
z Scores. In Exercises 5–8, express all z scores with two decimal places.
New York City Commute Time New York City commute times (minutes) are listed in Data Set 31 “Commute Times” in Appendix B. The 1000 times have a mean of 42.6 minutes and a standard deviation of 26.2 minutes. Consider the commute time of 95.0 minutes.
c. Convert the commute time of 95.0 minutes to a z score.

1
Step 1: Recall the formula for calculating a z-score: , where is the data value, is the mean, and is the standard deviation.
Step 2: Identify the given values from the problem. The data value is 95.0 minutes, the mean is 42.6 minutes, and the standard deviation is 26.2 minutes.
Step 3: Substitute the given values into the z-score formula: .
Step 4: Perform the subtraction in the numerator: .
Step 5: Divide the result of the subtraction by the standard deviation to calculate the z-score. Round the z-score to two decimal places.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Z Score
A z score, or standard score, indicates how many standard deviations a data point is from the mean of a dataset. It is calculated using the formula: z = (X - μ) / σ, where X is the value, μ is the mean, and σ is the standard deviation. Z scores allow for the comparison of different data points within the same distribution, providing insight into their relative position.
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Mean
The mean is the average value of a dataset, calculated by summing all the data points and dividing by the number of points. In the context of the question, the mean commute time of 42.6 minutes serves as a reference point for determining how far a specific commute time, like 95.0 minutes, deviates from the average. Understanding the mean is crucial for interpreting z scores.
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Standard Deviation
Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates a wider spread. In this question, the standard deviation of 26.2 minutes is essential for calculating the z score, as it quantifies how much the commute times vary from the average.
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