In: Statistics and Probability
1. A health insurance broker records the monthly extended health and dental insurance premiums for 18 non-smoking white-collar clients between the ages of 31 and 40 (measured in $):
109 | 88 | 129 | 97 | 151 | 141 | 48 | 109 | 57 |
86 | 117 | 56 | 127 | 113 | 124 | 72 | 132 | 58 |
a. Calculate the sample mean ( x̄) and standard deviation (s) to the nearest cent.
b. Construct a 98% confidence interval for the mean monthly insurance premium for all non-smoking white-collar clients between the ages of 31 and 40.
2. Calculate the margin of error and construct a confidence interval for the population proportion using the normal approximation to the p̂ p̂ -distribution (if it is appropriate to do so).
a. p̂ =0.9, n=160, α =0.2, E = ? ( four decimal places)
b. p̂ =0.6, n=140, α =0.05 , E = ? (four decimal places)
mean | 100.78 |
sample standard deviation | 32.04 |
sample variance | 1,026.30 |
confidence interval 98.% lower | 81.40 |
confidence interval 98.% upper | 120.16 |
margin of error | 19.38 |
t(df = 17) | 2.567 |
Please do the comment for any doubt or clarification. Please upvote if this helps you out. Thank You!
a. Calculate the sample mean ( x̄) and standard deviation (s) to the nearest cent.
sample mean ( x̄) = 100.78
standard deviation (s) =32.04
b. Construct a 98% confidence interval for the mean monthly insurance premium for all non-smoking white-collar clients between the ages of 31 and 40.
81.40<u<120.16
2. Calculate the margin of error and construct a confidence interval for the population proportion using the normal approximation to the p̂ p̂ -distribution (if it is appropriate to do so).
a. p̂ =0.9, n=160, α =0.2, E = ? ( four decimal places)
80% | confidence level |
0.9 | proportion |
160 | n |
1.282 | z |
0.0304 | margin of error,E |
0.8696 | lower confidence limit |
0.9304 | upper confidence limit |
b. p̂ =0.6, n=140, α =0.05 , E = ? (four decimal places)
95% | confidence level |
0.6 | proportion |
140 | n |
1.960 | z |
0.0812 | margin of error,E |
0.5188 | lower confidence limit |
0.6812 | upper confidence limit |