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Ch. 3 - Describing, Exploring, and Comparing Data
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Not the one you use?Change textbook
Chapter 3, Problem 3.q.4

Variance of Roller Coaster Speeds The standard deviation of the sample values in Exercise 1 is 43.1 km/h. What is the variance (including units)?

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1
Understand the relationship between standard deviation and variance: Variance is the square of the standard deviation. Mathematically, this is expressed as \( \text{Variance} = (\text{Standard Deviation})^2 \).
Identify the given value: The standard deviation is provided as 43.1 km/h.
Square the standard deviation to calculate the variance: Use the formula \( \text{Variance} = (43.1)^2 \).
Include the correct units: Since the standard deviation is in km/h, the variance will be in \( (\text{km/h})^2 \), or square kilometers per hour squared.
Write the final expression for the variance: \( \text{Variance} = 43.1^2 \ \text{km}^2/\text{h}^2 \).

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Standard Deviation

Standard deviation is a measure of the amount of variation or dispersion in a set of values. It indicates how much individual data points deviate from the mean of the dataset. A low standard deviation means 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.
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Variance

Variance is the square of the standard deviation and quantifies the degree of spread in a dataset. It is calculated by averaging the squared differences between each data point and the mean. Variance provides insight into the variability of the data, with larger values indicating greater dispersion.
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Units of Measurement

Units of measurement are essential for interpreting statistical results accurately. In the context of variance, the units are the square of the original units of the data. For example, if the speeds are measured in kilometers per hour (km/h), the variance will be expressed in square kilometers per hour (km²/h²), which reflects the squared nature of the calculation.
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Related Practice
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.


d. Using the criteria summarized in Figure 3-6, is the commute time of 95 minutes significantly low, significantly high, or neither?

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Textbook Question

Reported and Measured Heights Listed below are self-reported heights of males aged 16 and over and their corresponding measured heights (based on data from the National Health and Nutrition Examination Survey). All heights are in inches. First find the differences (reported height–measured height), and then use those differences to find the (h) Q1, (i) Q3


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Textbook Question

Reported and Measured Heights Listed below are self-reported heights of males aged 16 and over and their corresponding measured heights (based on data from the National Health and Nutrition Examination Survey). All heights are in inches. First find the differences (reported height–measured height), and then use those differences to find the (a) mean, (b) median, (c) mode,


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Textbook Question

Roller Coaster z Score A larger sample of 92 roller coaster maximum speeds has a mean of 85.9 km/h and a standard deviation of 28.7 km/h. What is the z score for a speed of 34 km/h? Does the z score suggest that the speed of 34 km/h is significantly low?

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Textbook Question

Estimating s The sample of 92 roller coaster maximum speeds includes values ranging from a low of 10 km/h to a high of 194 km/h. Use the range rule of thumb to estimate the standard deviation.

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Textbook Question

Outliers Identify any of the differences found from Exercise 1 that appear to be outliers. For any outliers, how much of an effect do they have on the mean, median, and standard deviation?

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