In: Statistics and Probability
Calculating Confidence Intervals
1. Suppose that a recent study asked a sample of Kentucky residents
“Do you believe that evolution should be taught in public schools?”
Out of the 100 people surveyed (the survey was given to a random sample) 80 responded yes. Confirm that the sample size is large enough, calculate a 95% confidence interval and interpret the interval. (Round your answer to 4 decimal places)
2. Using the information in question 1 calculate a 90% interval. You do not need to check the sample size or interpret the interval. (Round your answer to 4 decimal places.
3. Using the information in question 1 calculate a 99% interval. You do not need to check the sample size or interpret the interval. (Round your answer to 4 decimal places)
4. Compare your answers from questions 1-3. What happens to a confidence interval when the level of confidence changes but everything else remains the same?
1)
for np=80 and n(1-p)=100-80=20 both are greater than 5 ; hence requirement for normal approximation of binomial distribution are satisfied,.
2)
for 90 % CI value of z= | 1.645 | |||
margin of error E=z*std error = | 0.0658 | |||
lower confidence bound=sample proportion-margin of error | 0.7342 | |||
Upper confidence bound=sample proportion+margin of error | 0.8658 |
3)
for 99 % CI value of z= | 2.576 | |||
margin of error E=z*std error = | 0.1030 | |||
lower confidence bound=sample proportion-margin of error | 0.6970 | |||
Upper confidence bound=sample proportion+margin of error | 0.9030 |
4)
as we increase/decrease level of confidence ; width of confidence interval increases/decreases .