In: Statistics and Probability
The data for this is the graduation rates spread across 50 states. The analysis will contain 50 data pieces. They are provided below:
Successfully compute the computational problems above the sample set for completion of this post. Thank you for your help!
mean | 0.84742 |
sample standard deviation | 0.04320 |
confidence interval 80.% lower | 0.83948 |
confidence interval 80.% upper | 0.85536 |
margin of error | 0.00794 |
t(df = 49) | 1.299 |
confidence interval 95.% lower | 0.83514 |
confidence interval 95.% upper | 0.85970 |
margin of error | 0.01228 |
t(df = 49) | 2.01 |
confidence interval 99.% lower | 0.83105 |
confidence interval 99.% upper | 0.86379 |
margin of error | 0.01637 |
t(df = 49) | 2.68 |
confidence interval 90.% lower | 0.83718 |
confidence interval 90.% upper | 0.85766 |
margin of error | 0.01024 |
t(df = 49) | 1.677 |
The mean and standard deviation of your sample are 0.84742 and 0.04320 respectively.
The 80% confidence interval is between 0.83948 and 0.85536 with a margin of error 0.00794.
The 95% confidence interval is between 0.83514 and 0.85970 with a margin of error 0.01228.
The 99% confidence interval is between 0.83105 and 0.86379 with a margin of error 0.01637.
The 90% confidence interval is between 0.83718 and 0.85766 with a margin of error 0.01024.
We can observe that as the confidence interval increases, the width of the confidence interval increases.
The margin of error increases as the confidence level increases.