Answered: Twelve different video games showing…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question

Twelve different video games showing substance use were observed and the duration of times of gameplay (in seconds) are listed below. The design of the study justifies the assumption that the sample can be treated as a simple random sample. Use the sample data to construct

a 95%confidence interval estimate of σ, the standard deviation of the duration times of gameplay. Assume that this sample was obtained from a population with a normal distribution.

4,087	4,683	4,759	3,848	4,528	3,962
3,825	4,375	4,416	4,719	3,861	3,819

Twelve different video games showing substance use were observed and the duration of times of game play (in seconds) are listed below. The
design of the study justifies the assumption that the sample can be treated as a simple random sample. Use the sample data to construct a 95%
confidence interval estimate of o, the standard deviation of the duration times of game play. Assume that this sample was obtained from a population
with a normal distribution.
3,848
4,719
The confidence interval estimate is
(Round to one decimal place as needed.)
4,087
4,683
4,759
3,825
4,375
4,416
Click the icon to view the table of Chi-Square critical values.
4,528
3,861
sec<o<
3,962
3,819
sec.

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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