QUESTION 10We wish to check that normal body temperature may be more than 98.6 degrees for a certain population. In a random sample of 18 individuals from this population, the sample mean was found to be 98.87 and the sample standard deviation was 0.482. Assume the population is normally distributed. Use a = 0.05.What is your conclusion? Normal body temperature is lower than 98.6 degrees, since the p-value is less than 0.05 Normal body temperature is lower than 98.6 degrees, since the p-value is negative Normal body temperature is higher than 98.6 degrees, since the p-value greater than 0.05 Normal body temperature is higher than 98.6 degrees, since the p-value less than 0.05

It is given that Sample size n = 18 Sample mean = 98.87 Sample SD = 0.482 Level of significance =…

Answered: We wish to check that normal body…

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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QUESTION 10

We wish to check that normal body temperature may be more than 98.6 degrees for a certain population. In a random sample of 18 individuals from this population, the sample mean was found to be 98.87 and the sample standard deviation was 0.482. Assume the population is normally distributed. Use a = 0.05.

What is your conclusion?

		Normal body temperature is lower than 98.6 degrees, since the p-value is less than 0.05
		Normal body temperature is lower than 98.6 degrees, since the p-value is negative
		Normal body temperature is higher than 98.6 degrees, since the p-value greater than 0.05
		Normal body temperature is higher than 98.6 degrees, since the p-value less than 0.05

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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