Suppose you are testing the null hypothesis that a population mean is less than or equal to 46, against the alternative hypothesis that the population mean is greater than 46. The sample size is 25 and α = .05. If the sample mean is 50 and the population standard deviation is eight, the observed z value is _______.

Respuesta :

Answer: 2.5

Step-by-step explanation:

Let [tex]\mu[/tex] be the population mean .

Then, Null hypothesis : [tex]H_0:\mu\leq46[/tex]

Alternative hypothesis :  [tex]H_1:\mu>46[/tex]

We assume that this is a normal distribution.

Given : Sample size : n=25 , since the sample is small (n<30) so we cannot apply z-test . Thus the test is t-test.

Sample mean : [tex]\overline{x}=50[/tex]

Population standard deviation : [tex]\sigma= 8[/tex]

The test statistic for population mean is given by :-

[tex]t=\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]

i.e. [tex]t=\dfrac{50-46}{\dfrac{8}{\sqrt{25}}}=2.5[/tex]

Hence, the observed critical value = 2.5

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