In: Math
We need to find the confidence interval for the SLEEP variable. To do this, we need to find the mean and standard deviation with the Week 1 spreadsheet. Then we can the Week 5 spreadsheet to find the confidence interval.
First, find the mean and standard deviation by copying the SLEEP variable and pasting it into the Week 1 spreadsheet. Write down the mean and the sample standard deviation as well as the count. Open the Week 5 spreadsheet and type in the values needed in the green cells at the top. The confidence interval is shown in the yellow cells as the lower limit and the upper limit.
Sleep (hours) |
7 |
7 |
5 |
7 |
6 |
8 |
7 |
8 |
5 |
8 |
8 |
4 |
8 |
8 |
6 |
8 |
8 |
8 |
7 |
10 |
6 |
7 |
8 |
5 |
8 |
7 |
7 |
4 |
9 |
8 |
7 |
7 |
8 |
8 |
10 |
In the Week 2 Lab, you found the mean and the standard deviation for the HEIGHT variable for both males and females. Use those values for follow these directions to calculate the numbers again.
Height (inches) |
61 |
62 |
63 |
63 |
64 |
65 |
65 |
66 |
66 |
67 |
67 |
67 |
67 |
68 |
68 |
69 |
69 |
69 |
69 |
69 |
69 |
69 |
70 |
70 |
70 |
70 |
70 |
71 |
71 |
71 |
73 |
73 |
74 |
74 |
75 |
(From Week 2 Lab: Calculate descriptive statistics for the variable Height by Gender. Click on Insert and then Pivot Table. Click in the top box and select all the data (including labels) from Height through Gender. Also click on “new worksheet” and then OK. On the right of the new sheet, click on Height and Gender, making sure that Gender is in the Rows box and Height is in the Values box. Click on the down arrow next to Height in the Values box and select Value Field Settings. In the pop up box, click Average then OK. Write these down. Then click on the down arrow next to Height in the Values box again and select Value Field Settings. In the pop up box, click on StdDev then OK. Write these values down.)
You will also need the number of males and the number of females in the dataset. You can either use the same pivot table created above by selecting Count in the Value Field Settings, or you can actually count in the dataset.
Then use the Week 5 spreadsheet to calculate the following confidence intervals. The male confidence interval would be one calculation in the spreadsheet and the females would be a second calculation.
Mean ______________ Standard deviation ____________________ Predicted percentage ______________________________ Actual percentage _____________________________ Comparison ___________________________________________________ ______________________________________________________________ |
Predicted percentage between 40 and 70 ______________________________ Actual percentage _____________________________________________ Predicted percentage more than 70 miles ________________________________ Actual percentage ___________________________________________ Comparison ____________________________________________________ _______________________________________________________________ Why? __________________________________________________________ ________________________________________________________________ |
Week 1 spreadsheet.
Sleep ( X ) | ||
7 | 0.04 | |
7 | 0.04 | |
5 | 4.84 | |
7 | 0.04 | |
6 | 1.44 | |
8 | 0.64 | |
7 | 0.04 | |
8 | 0.64 | |
5 | 4.84 | |
8 | 0.64 | |
8 | 0.64 | |
4 | 10.24 | |
8 | 0.64 | |
8 | 0.64 | |
6 | 1.44 | |
8 | 0.64 | |
8 | 0.64 | |
8 | 0.64 | |
7 | 0.04 | |
10 | 7.84 | |
6 | 1.44 | |
7 | 0.04 | |
8 | 0.64 | |
5 | 4.84 | |
8 | 0.64 | |
7 | 0.04 | |
7 | 0.04 | |
4 | 10.24 | |
9 | 3.24 | |
8 | 0.64 | |
7 | 0.04 | |
7 | 0.04 | |
8 | 0.64 | |
8 | 0.64 | |
10 | 7.84 | |
Total | 252 | 67.6 |
Mean
Standard deviation
Confidence Interval
Lower Limit =
Lower Limit = 6.7156
Upper Limit =
Upper Limit = 7.6844
95% Confidence interval is ( 6.7156 , 7.6844 )
Margin of error =
Confidence Interval
Lower Limit =
Lower Limit = 6.5497
Upper Limit =
Upper Limit = 7.8503
99% Confidence interval is ( 6.5497 , 7.8503 )
Margin of error =
Part c)
Margin of error for 99% confidence interval is greater than 95%.
Hence 99% confidence interval is wider than 95% confidence interval.