Answered: Twelve different video games showing…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Help with both questions, the question in picture also

Are the requirements all satisfied?

No. The sample size is not greater than 30, the sample does not appear to be from a normally distributed population, and there are no observations above 90 sec.

Yes. A normal quantile plot suggests that the sample is from a normally distributed population, and there are observations above and below 90 sec.

Yes. The conditions for a binomial distribution are satisfied, and there is enough information to determine that the sample is a simple random sample.

No. The conditions for a binomial distribution are not satisfied, and there is not enough information given to determine whether the sample is a simple random sample.

Yes. A normal quantile plot suggests that the sample is from a normally distributed population, and there is enough information to determine that the sample is a simple random sample.

No. The sample size is not greater than 30, the sample does not appear to be from a normally distributed population, and there is not enough information given to determine whether the sample is a simple random sample.

Twelve different video games showing violence were observed. The duration times of violence were recorded, with the times (seconds)
listed below. What requirements must be satisfied to test the claim that the sample is from a population with a mean greater than 90 sec?
Are the requirements all satisfied?
84 15 570 48 0 54 192 41
190 0 2
62
What requirements must be satisfied? Select all that apply.
O A. At least one observation must be above or below 90 sec.
B. The conditions for a binomial distribution must be satisfied.
C. Either the population is normally distributed, or n> 30, or both.
D. The sample observations must be a simple random sample.

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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