Problem

Trials in an experiment with a polygraph include 97 results that include 24 cases of wrong results and 73 cases of correct results. Use a 005 significance level to test the claim that such polygraph results are correct less than 80% of the time. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method. Use the normal distribution as an approximation of the binomial distribution.

Let p be the population proportion of correct polygraph results. Identify the null and alternative hypotheses Choose the correct answer below.
A.
H0p=0.20H1.p0.20
C.
H0:p=0.80H1:p<0.80

E
H0:p=0.80H1:p0.80
B.
H0p=0.80H1p>0.80
D.
H0p=0.20H1p>0.20

Fit.
H0,p=0.20H1.p<020

The test statistic is z= (Rourh to two decimal places as needed)

Answer

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Answer

So, the test statistic is z=0.74.

Steps

Step 1 :The null hypothesis (H0) is that the proportion of correct polygraph results is 80% or more, and the alternative hypothesis (H1) is that the proportion of correct polygraph results is less than 80%. So, the hypotheses are: H0:p=0.80 H1:p<0.80

Step 2 :Next, we calculate the test statistic, which is a z-score (z). The formula for the z-score is: z=p^p0p0(1p0)n where p^ is the sample proportion, p0 is the proportion in the null hypothesis, and n is the sample size.

Step 3 :In this case, p^=7397=0.7526, p0=0.80, and n = 97.

Step 4 :Substituting these values into the z-score formula, we get: z=0.75260.800.80(10.80)97=0.04740.0041=0.04740.0640=0.74 (rounded to two decimal places).

Step 5 :So, the test statistic is z=0.74.

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