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 3.3.7b
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.
b. How many standard deviations is that [the difference found in part (a)]?

1
Step 1: Recall the formula for calculating a z-score: \( z = \frac{x - \mu}{\sigma} \), where \( x \) is the data value, \( \mu \) is the mean, and \( \sigma \) is the standard deviation.
Step 2: Identify the given values from the problem: \( x = 95.0 \), \( \mu = 42.6 \), and \( \sigma = 26.2 \).
Step 3: Substitute the values into the z-score formula: \( z = \frac{95.0 - 42.6}{26.2} \).
Step 4: Perform the subtraction in the numerator: \( 95.0 - 42.6 \). This gives the difference between the data value and the mean.
Step 5: Divide the result from Step 4 by the standard deviation \( \sigma = 26.2 \) to find the z-score, which represents how many standard deviations the data value is from the mean.

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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 is a statistical measurement that describes a value's relationship to the mean of a group of values. It is calculated by subtracting the mean from the value and then dividing by the standard deviation. This standardization allows for comparison across different datasets by indicating how many standard deviations a data point is from the mean.
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Mean
The mean, or average, is a measure of central tendency that is calculated by summing all values in a dataset and dividing by the number of values. In the context of the commute times, the mean provides a baseline to understand the typical commute duration, which is essential for calculating Z-scores and assessing individual commute times relative to this average.
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Standard Deviation
Standard deviation is a statistic that quantifies 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 is crucial for determining how far the specific commute time of 95.0 minutes is from the mean in terms of standard deviations.
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