14th Edition

ISBN: 9780134685168

Author: STEPHAN

Publisher: YUZU

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Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could co…

Normal Distribution

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Textbook Question

Chapter 10, Problem 48PS

The annual NFL Super Bowl is the most widely watched sporting event in the United each year. In recent years, there has been a great deal of interest in the ads that appear during the game. These ads very in length with most lasting 30 seconds or 60 seconds. The file SuperBowlAdScore contains the ad length and scores from a recent Super Bowl.

a. Is there evidence of a difference in the variability of the scores between the two types of ads? (Use α = 0.05. )

b. Determine the p-value in (a) and interpret its meaning.

c. What assumption about the population distribution of the two types of ads is necessary in (a)? Is the assumption valid for these data?

d. Based on the results of (a), which t test defined in Section 10.1 should you use to compare the mean scores of the two types of ads?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 10, Problem 47PS

Chapter 10, Problem 49PS

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Chapter 10 Solutions

EBK BASIC BUSINESS STATISTICS

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Solution Summary: The author explains how to perform 2 variances test using the Minitab file 'SuperBowlAdScore'.

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