In: Statistics and Probability
A sample of 115 results in 46 successes. [You may find it useful to reference the z table.]
a. Calculate the point estimate for the population
proportion of successes. (Do not round intermediate
calculations. Round your answer to 3 decimal
places.)
Point estimate
b. Construct 90% and 99% confidence intervals for the population proportion. (Round intermediate calculations to at least 4 decimal places. Round "z" value and final answers to 3 decimal places.)
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c. Can we conclude at 90% confidence that the
population proportion differs from 0.500?
Yes, since the confidence interval contains the value 0.500.
Yes, since the confidence interval does not contain the value 0.500.
No, since the confidence interval contains the value 0.500.
No, since the confidence interval does not contain the value 0.500.
d. Can we conclude at 99% confidence that the
population proportion differs from 0.500?
No, since the confidence interval contains the value 0.500.
No, since the confidence interval does not contain the value 0.500.
Yes, since the confidence interval contains the value 0.500.
Yes, since the confidence interval does not contain the value 0.500.
Given that, a sample of n = 115 results in x = 46 success.
a) The point estimate for the population proportion of success is,
46/115 = 0.400
=> point estimate = 0.400
b) A 90% confidence level has significance level of 0.10 and critical value is,
The 90% confidence interval for the population proportion is,
A 99% confidence level has significance level of 0.01 and critical value is,
The 90% confidence interval for the population proportion is,
Therefore,
90% confidence interval : 0.325 to 0.475
99% confidence interval : 0.282 to 0.518
c) Since, 0.500 in not lies in 90% CI, we can conclude that the population proportion differs from 0.500
Answer : Yes, since the confidence interval does not contain the value 0.500
d) Since, 0.500 in lies in 99% CI, we can conclude that the population proportion is not differs from 0.500.
Answer : No, since the confidence interval contains the value 0.500.