To evaluate the effect of a treatment, a sample of n = 9 is obtained from a population with a mean of μ = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 33. If the sample has a standard deviation of s = 9, do we reject or accept the null hypothesis using a two-tailed test with alpha = .05?

Respuesta :

Answer:

Yes we reject the null hypothesis

Step-by-step explanation:

From the question we are told that

  The sample size is  [tex]n = 9[/tex]

   The  population mean is  [tex]\mu = 40[/tex]

    The  sample  mean is  [tex]\= x = 33[/tex]

    The  standard deviation is [tex]\sigma = 9[/tex]

    The  level of significance is  [tex]\alpha = 0.05[/tex]

For a two-tailed test

The  null hypothesis is  [tex]H_o : \mu = 40[/tex]

The alternative hypothesis is  [tex]H_a : \mu \ne 40[/tex]

Generally the test statistics is mathematically represented as

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

=>     [tex]t = \frac{ 33 - 40 }{ \frac{9}{\sqrt{9} } }[/tex]

=>     [tex]t = -2.33[/tex]

The  p-value for the two-tailed test  is mathematically represented as

     [tex]p-value = 2 P(z > |-2.33|)[/tex]

From the z-table  

            [tex]P(z > |-2.33|) = 0.01[/tex]

       [tex]p-value = 2 * 0.01[/tex]

       [tex]p-value = 0.02[/tex]

Given that [tex]p-value < \alpha[/tex] Then we reject the null hypothesis

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