In: Statistics and Probability
1. A sample of 100 results in 27 successes.
a. Calculate the point estimate for the population
proportion of successes. (Do not round intermediate
calculations. Round your answer to 3 decimal
places.)
b. Construct 95% and 90% 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.)
95% -
90%-
c. Can we conclude at 95% confidence that the
population proportion differs from 0.330?
No, since the confidence interval does not contain the value 0.330.
No, since the confidence interval contains the value 0.330.
Yes, since the confidence interval does not contain the value 0.330.
Yes, since the confidence interval contains the value 0.330.
d. Can we conclude at 90% confidence that the
population proportion differs from 0.330?
No, since the confidence interval contains the value 0.330.
No, since the confidence interval does not contain the value 0.330.
Yes, since the confidence interval contains the value 0.330.
Yes, since the confidence interval does not contain the value 0.330.
Solution :
Given that,
n = 100
x = 27
a)
Point estimate = sample proportion = = x / n = 27 / 100 = 0.270
1 - = 1 - 0.270 = 0.730
b)
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z 0.05 = 1.645
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.645 * (((0.270 * 0.730) / 100)
= 0.0730
A 90% confidence interval for population proportion p is ,
- E < p < + E
0.270 - 0.0730 < p < 0.270 + 0.0730
0.1970 < p < 0.3430
(0.1970 , 0.3430)
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.96 * (((0.270 * 0.730) / 100)
= 0.0870
A 95% confidence interval for population proportion p is ,
- E < p < + E
0.270 - 0.0870 < p < 0.270 + 0.0870
0.1830< p < 0.3570
(0.1830 , 0.3570)
c)
Yes, since the confidence interval contains the value 0.330
d)
Yes, since the confidence interval contains the value 0.330