Test whethermu 1 less than mu 2μ1<μ2at thealphaα=0.01level of significance for the sample data shown in the accompanying table. Assume that the populations are normally distributed. Determine the null and alternative hypothesis for this test. A. H0:mu 1<mu 2μ1<μ2H1:mu 1= mu 2μ1=μ2 B.Upper H 0 :H0:mu 1 equals mu 2μ1=μ2Upper H 1 :H1:mu 1 not equals mu 2μ1≠μ2 C.Upper H 0 :H0:mu 1 not equals mu 2μ1≠μ2Upper H 1 :H1:mu 1 less than mu 2μ1<μ2 D.Upper H 0 :H0:mu 1 equals mu 2μ1=μ2Upper H 1 :H1:mu 1 less than mu 2μ1<μ2Your answer is correct. Detemine the P-value for this hypothesis test. Pequals=nothing(Round to three decimal places as needed.)

To calculate the p value, we need the data and the data provided by you is incompleteSo, using the…

Answered: Test whether mu 1 less than mu 2μ1<μ2…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Test whether

mu 1 less than mu 2μ1<μ2

at the

alphaα=0.01

level of significance for the sample data shown in the accompanying table. Assume that the populations are normally distributed.

Determine the null and alternative hypothesis for this test.

A. H0:mu 1<mu 2μ1<μ2

H1:mu 1= mu 2μ1=μ2

Upper H 0 :H0:mu 1 equals mu 2μ1=μ2

Upper H 1 :H1:mu 1 not equals mu 2μ1≠μ2

Upper H 0 :H0:mu 1 not equals mu 2μ1≠μ2

Upper H 1 :H1:mu 1 less than mu 2μ1<μ2

Upper H 0 :H0:mu 1 equals mu 2μ1=μ2

Upper H 1 :H1:mu 1 less than mu 2μ1<μ2

Your answer is correct.

Detemine the P-value for this hypothesis test.

Pequals=nothing

(Round to three decimal places as needed.)

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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