A sample mean, sample size, and population standard deviation are given. Assume the population is normally distributed. Use the one-mean z-test to perform the required hypothesis test at the given significance level. Use the P-value approach.(A) Identify the P-value, (B) Determine whether to reject, or fail to reject H0, (C) Write a conclusion based on the rejection or failure to reject H0.All math must be typeset appropriately using the Rich Text Editor. Any images must be embedded within the Rich Text Editor adhering to the Photo Upload Guidelines.=3.7, n = 32, σ=1.8,H0: µ=4.2Ha:µ<4.2 **claim**α = 0.05

Solution-: Given: μ0=4.2,σ=1.8,x¯=3.7,n=32,α=0.05 We want to (A) Identify the P-value=? (B)…

Answered: A sample mean, sample size, and…

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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A sample mean, sample size, and population standard deviation are given. Assume the population is normally distributed. Use the one-mean z-test to perform the required hypothesis test at the given significance level. Use the P-value approach.

(A) Identify the P-value, (B) Determine whether to reject, or fail to reject H₀, (C)
Write a conclusion based on the rejection or failure to reject H₀.

All math must be typeset appropriately using the Rich Text Editor. Any images must be embedded within the Rich Text Editor adhering to the Photo Upload Guidelines.

=3.7, n = 32, σ=1.8,

H₀: µ=4.2
H_a:µ<4.2 **claim**

α = 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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