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{Exercise 9.09 (Algorithmic).} Consider the following hypothesis test: Ho: u 20 Ha: p < 20 A sample of 40 provided a sample m

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Answer #1

Solution :

\mu= 20

\bar x = 19.6

\sigma = 1.8

n = 40

This is the left tailed test .

The null and alternative hypothesis is ,

H0 :  \mu ≥ 20

Ha : \mu < 20

a ) Test statistic = z

= (\bar x - \mu ) / \sigma / \sqrt n

= (19.6 - 20 ) / 1.8 / \sqrt 40

= −1.405

Test statistic = z =  −1.40

b ) P-value =0.0799

c ) the population mean μ is ;less than 20, at the 0.05 significance level

d )The significance level is α = 0.05, and the critical value for a left tailed test is zc ​= −1.64

e ) It is observed that z = -1.405 ≥ zc​=−1.64, it is then concluded that the null hypothesis is not rejected.

\alpha = 0.05  

P-value ≥ \alpha

0.0228 ≥ 0.05

f ) The null hypothesis Ho is not rejected. Therefore, there is not enough evidence to claim that the population mean μ is less than 20, at the 0.05 significance level

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