Textbook Question
Interpreting Normal Quantile Plots Which of the following normal quantile plots appear to represent data from a population having a normal distribution? Explain.
Ch. 2 - Exploring Data with Tables and Graphs
Triola14th EditionElementary StatisticsISBN: 9780137366446
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Table of contents
- Ch. 1 - Introduction to Statistics88
- Ch. 2 - Exploring Data with Tables and Graphs70
- Ch. 3 - Describing, Exploring, and Comparing Data66
- Ch. 4 - Probability112
- Ch. 5 - Discrete Probability Distributions109
- Ch. 6 - Normal Probability Distributions122
- Ch. 7 - Estimating Parameters and Determining Sample Sizes107
- Ch. 8 - Hypothesis Testing75
- Ch. 9 - Inferences from Two Samples94
- Ch. 10 - Correlation and Regression80
- Ch. 11 - Goodness-of-Fit and Contingency Tables29
- Ch. 12 - Analysis of Variance42
Chapter 2, Problem 2.q.1
Tornado Alley Refer to the accompanying frequency distribution that summarizes the number of tornadoes in Oklahoma in each year for the past several years. What is the class width? Is it possible to identify the original data values?
Verified step by step guidance1
Step 1: To determine the class width, observe the intervals in the 'Annual Tornadoes in Oklahoma' column. The class width is calculated as the difference between the lower boundary of one class and the lower boundary of the next class. For example, subtract 0 (lower boundary of the first class) from 20 (lower boundary of the second class).
Step 2: Perform the subtraction: 20 - 0 = 20. This indicates that the class width is 20. Repeat this calculation for other intervals to confirm consistency.
Step 3: To address whether it is possible to identify the original data values, consider the nature of the frequency distribution. Frequency distributions group data into intervals, so the exact original data values within each interval are not preserved. For example, in the interval 0–19, we only know there are 3 years with tornado counts in this range, but we do not know the specific counts for those years.
Step 4: Understand that frequency distributions are designed to summarize data, not to retain individual data points. Therefore, it is not possible to identify the original data values from the given frequency distribution.
Step 5: Conclude that the class width is 20, and the original data values cannot be identified from the frequency distribution because the data has been grouped into intervals.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Class Width
Class width refers to the range of values that each class interval in a frequency distribution covers. It is calculated by subtracting the lower limit of a class from its upper limit. In the provided frequency distribution, the class width can be determined by examining the intervals, such as 0-19, 20-39, etc., which all have a consistent width of 20.
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How to Create Frequency Distributions Example 2
Frequency Distribution
A frequency distribution is a summary of how often each value or range of values occurs in a dataset. It organizes data into classes or intervals, showing the number of occurrences (frequency) for each class. This helps in visualizing the distribution of data points, such as the number of tornadoes in Oklahoma over the years, allowing for easier analysis of trends and patterns.
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Original Data Values
Original data values refer to the individual data points that were used to create the frequency distribution. While the frequency distribution provides a summary, it does not reveal the specific values within each class interval. Therefore, it is not possible to identify the exact original data values from the frequency distribution alone, as it aggregates data into broader categories.
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04:39Visualizing Qualitative vs. Quantitative Data
Related Practice
Textbook Question
In Exercises 21–24, find the coefficient of variation for each of the two samples; then compare the variation. (The same data were used in Section 3-1.)
Pulse Rates Listed below are pulse rates (beats per minute) from samples of adult males and females (from Data Set 1 “Body Data” in Appendix B). Does there appear to be a difference?
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Textbook Question
Tornado Alley Using the same frequency distribution from Exercise 1, identify the class limits of the first class and the class boundaries of the first class.
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Textbook Question
Histogram of Interarrival Times Construct the histogram that corresponds to the frequency distribution from Exercise 1. Use class midpoint values for the horizontal scale. Does the histogram suggest that the data are from a population having a normal distribution? Why or why not?
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Textbook Question
Tornado Alley Construct the relative frequency distribution corresponding to the frequency distribution in Exercise 1
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