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The following hypotheses are given. HO: IT = 0.40 HAT+0.40 A sample of 120 observations revealed that p=0.30. At the 0.05 sig

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Answer #1

a.

H_0: \pi = 0.40

H_1: \pi \neq 0.40

Since, it is a two tailed hypothesis, at 5% significance level, the critical value of z is z0.05 = 1.96.

So, the decision rule is:

Reject H0 and accept H1 when Z < -1.96 or Z > 1.96.

b.

Given: n = 120 and p = 0.30.

We'll do a Z-test for proportion. The value of the test statistic will be calculated as:

Z = \frac{(p - \pi)}{\bigg[\sqrt\frac{\pi(1-\pi)}{n}\bigg]}

  = \frac{( 0.30- 0.40)}{\bigg[\sqrt\frac{0.40(1- 0.40)}{120}\bigg]}

  = \frac{(-0.1)}{\bigg[\sqrt\frac{0.40(0.60)}{120}\bigg]}

= \frac{(-0.1)}{\bigg[\sqrt\frac{0.24}{120}\bigg]}

  = \frac{(-0.1)}{0.0447213595}

  =-2.24

c.

Since the calculated value of Z(-2.24) < Z critical value(-1.96), we reject the null hypothesis(H0).

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