a. Construct the 95% confidence interval for the population proportion of successes. (Round intermediate calculations to at least 4 decimal places. Round "z" value and final answers to 3 decimal places.)       b. Construct the 95% confidence interval for the population proportion of failures. (Round intermediate calculations to at least 4 decimal places. Round "z" value and final answers to 3 decimal places.)

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A random sample of 100 observations results in 70 successes. [You may find it useful to reference the z table.]

a. Construct the 95% confidence interval for the population proportion of successes. (Round intermediate calculations to at least 4 decimal places. Round "z" value and final answers to 3 decimal places.)  

 

 

b. Construct the 95% confidence interval for the population proportion of failures. (Round intermediate calculations to at least 4 decimal places. Round "z" value and final answers to 3 decimal places.) 

Expert Solution
Step 1

a.

A random sample of 100 observations results in 70 successes. The population proportion of successes is,

p^=xn=70100=0.70

The proportion of successes is 0.70.

Computation of critical value:

1-α=0.95α=0.05α2=0.0251-α2=0.975

The critical value of z-distribution can be obtained using the excel formula “=NORM.S.INV(0.975)”. The critical value is 1.96.

The 95% confidence interval for the population proportion of successes is,

CI=p^±zα2p^1-p^n=0.70±1.960.701-0.70100=0.70±0.090=0.70-0.090,0.70+0.090=0.610,0.790

Thus, the 95% confidence interval for the population proportion of successes is (0.610,0.790).

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