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Ch. 3 - Describing, Exploring, and Comparing Data
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Non è quello che usi tu?Cambia libro di testo
Capitolo 3, Problema 3.3.7a

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.


a. What is the difference between the commute time of 95.0 minutes and the mean commute time?

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Step 1: Understand the problem. We are tasked with finding the difference between a specific commute time (95.0 minutes) and the mean commute time (42.6 minutes). This is a straightforward subtraction problem.
Step 2: Write the formula for the difference. The difference can be expressed as: Difference = X - μ, where X is the specific commute time (95.0 minutes) and μ is the mean commute time (42.6 minutes).
Step 3: Substitute the given values into the formula. Replace X with 95.0 and μ with 42.6 in the formula: Difference = 95.0 - 42.6.
Step 4: Perform the subtraction operation to find the difference. This will give you the numerical value of how much the specific commute time deviates from the mean commute time.
Step 5: Interpret the result. The difference represents how many minutes the specific commute time (95.0 minutes) is above the mean commute time (42.6 minutes).

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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 standardizes scores on a common scale, allowing for comparison across different datasets.
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Z-Scores From Given Probability - TI-84 (CE) Calculator

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 represents the typical commute duration, providing a baseline for comparison with individual commute times.
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Calculating the Mean

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 that the values are spread out over a wider range. It is crucial for understanding how individual commute times relate to the average.
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Calculating Standard Deviation
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a. Find the missing value.

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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)]?

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z Scores. In Exercises 5–8, express all z scores with two decimal places.


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