J 1Majesty Video Production Incorporated wants the mean length of its advertisements to be 34 seconds. Assume the distribution of ad length follows the normal distribution with a population standard deviation of 2 seconds. Suppose we select a sample of 13 ads produced by Majesty. e. What percent of the sample means will be greater than 32.75 but less than 35.25 seconds? (Round your z-value andfinal answer to 2 decimal places.)Percent of sample means%f. What is the probability that the sampling error would be more than 1.5 hours? (Round your z-value and final answer to4 decimal places.)Percent of sample means

GivenMean(μ)=34standard deviation(σ)=2sample size(n)=13

Answered: e. What percent of the sample means…

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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J 1 Majesty Video Production Incorporated wants the mean length of its advertisements to be 34 seconds. Assume the distribution of ad length follows the normal distribution with a population standard deviation of 2 seconds. Suppose we select a sample of 13 ads produced by Majesty.

e. What percent of the sample means will be greater than 32.75 but less than 35.25 seconds? (Round your z-value and
final answer to 2 decimal places.)
Percent of sample means
%
f. What is the probability that the sampling error would be more than 1.5 hours? (Round your z-value and final answer to
4 decimal places.)
Percent of sample means

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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