The dean of a business school claims that the average starting salary of its graduates is more than 85 (in $000’s). It is known that the population standard deviation is 10 (in $000’s). Sample data on the starting salaries of 64 randomly selected recent graduates yielded a mean of 88(in $000s). What is the critical value for the rejection region if the level of significance is 5%?

Respuesta :

Answer:

Critical value for the rejection region if the level of significance is 5% = 1.645

We conclude that the average starting salary of graduates is more than 85,000$.

Step-by-step explanation:

We are given the following in the question:

Population mean, μ = 85,000$

Sample mean, [tex]\bar{x}[/tex] = 88,000$

Sample size, n = 64

Alpha, α = 0.05

Population standard deviation, σ = 10,000

First, we design the null and the alternate hypothesis

[tex]H_{0}: \mu = 85,000\text{ dollars}\\H_A: \mu > 85,000\text{ dollars}[/tex]

We use One-tailed(right) z test to perform this hypothesis.

Formula:

[tex]z_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}} }[/tex]

Putting all the values, we have

[tex]z_{stat} = \displaystyle\frac{88000 - 85000}{\frac{10000}{\sqrt{64}} } = 2.4[/tex]

Now, [tex]z_{critical} \text{ at 0.05 level of significance } = 1.64[/tex]

Since,  

[tex]z_{stat} > z_{critical}[/tex]

We reject the null hypothesis and accept the alternate hypothesis.

Thus, we conclude that the average starting salary of graduates is more than 85,000$.