MATH 221 Statistics for Decision MakingWeek 6 iLabName:_______________________Statistical Concepts:· Data Simulation· ...
Get help with any kind of assignment - from a high school essay to a PhD dissertation
MATH 221 Statistics for Decision Making
Week 6 iLab
Name:_______________________
Statistical Concepts:
· Data Simulation
· Confidence Intervals
· Normal Probabilities
Short Answer Writing Assignment
All answers should be complete sentences.
We need to find the confidence interval for the SLEEP variable. To do this, we need to find the mean and then find the maximum error. Then we can use a calculator to find the interval, (x â E, x + E).
First, find the mean. Under that column, in cell E37, type =AVERAGE(E2:E36). Under that in cell E38, type =STDEV(E2:E36). Now we can find the maximum error of the confidence interval. To find the maximum error, we use the âconfidenceâ formula. In cell E39, type =CONFIDENCE.NORM(0.05,E38,35).
1. Give and interpret the 95% confidence interval for the hours of sleep a student gets. (5 points)
Then, you can go down to cell E40 and type =CONFIDENCE.NORM(0.01,E38,35) to find the maximum error for a 99% confidence interval. Again, you would need to use a calculator to subtract this and add this to the mean to find the actual confidence interval.
2. Give and interpret the 99% confidence interval for the hours of sleep a student gets. (5 points)
3. Compare the 95% and 99% confidence intervals for the hours of sleep a student gets. Explain the difference between these intervals and why this difference occurs. (5 points)
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.
(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 ânew worksheetâ 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 theValues box and select Value Field Settings. In the pop up box, click Averagethen 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 StdDevthen 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 in Excel (somewhere on the data file or in a blank worksheet), calculate the maximum error for the females and the maximum error for the males. To find the maximum error for the females, type=CONFIDENCE.T(0.05,stdev,#), using the femalesâ height standard deviation for âstdevâ in the formula and the number of females in your sample for the â#â. Then you can use a calculator to add and subtract this maximum error from the average female height for the 95% confidence interval. Do this again with 0.01 as the alpha in the beginning of the formula to find the 99% confidence interval.
Find these same two intervals for the male data by using the same formula, but using the malesâ standard deviation for âstdevâ and the number of males in your sample for the â#â.
4. Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why? (7 points)
5. Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why? (7 points)
6. Find the mean and standard deviation of the DRIVE variable by using =AVERAGE(A2:A36) and =STDEV(A2:A36). Assuming that this variable is normally distributed, what percentage of data would you predict would be less than 40 miles? This would be based on the calculated probability. Use the formula =NORM.DIST(40, mean, stdev,TRUE). Now determine the percentage of data points in the dataset that fall within this range. To find the actual percentage in the dataset, sort the DRIVE variable and count how many of the data points are less than 40 out of the total 35 data points. That is the actual percentage. How does this compare with your prediction? (10 points)
Mean ______________ Standard deviation ____________________ Predicted percentage ______________________________ Actual percentage _____________________________ Comparison ______________________________ ______________________________ |
7. What percentage of data would you predict would be between 40 and 70 and what percentage would you predict would be more than 70 miles? Subtract the probabilities found through =NORM.DIST(70, mean, stdev, TRUE) and =NORM.DIST(40, mean, stdev, TRUE) for the âbetweenâ probability. To get the probability of over 70, use the same =NORM.DIST(70, mean, stdev, TRUE) and then subtract the result from 1 to get âmore thanâ. Now determine the percentage of data points in the dataset that fall within this range, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? (11 points)
Predicted percentage between 40 and 70 ______________________________ Actual percentage ______________________________ Predicted percentage more than 70 miles ______________________________ Actual percentage ______________________________ Comparison ______________________________ ______________________________ Why? ______________________________ ______________________________ |
Drive (miles) | State | Shoe Size | Height (inches) | Sleep (hours) | Gender | Car | TV (hours) | Money (dollars) | Coin | Die1 | Die2 | Die3 | Die4 | Die5 | Die6 | Die7 | Die8 | Die9 | Die10 | |
36 | MI | 10 | 61 | 7 | M | blue | 3 | 5.00 | 7 | 4 | 1 | 6 | 6 | 4 | 2 | 2 | 5 | 4 | 4 | |
20 | IL | 5 | 62 | 7 | F | black | 3 | 10.00 | 2 | 3 | 1 | 4 | 2 | 3 | 3 | 5 | 2 | 4 | 2 | |
88 | CA | 6 | 63 | 5 | F | black | 3 | 43.00 | 6 | 5 | 2 | 5 | 5 | 5 | 5 | 2 | 1 | 3 | 5 | |
6 | IL | 12 | 63 | 7 | F | blue | 2 | 44.00 | 2 | 6 | 1 | 3 | 3 | 2 | 6 | 4 | 2 | 5 | 3 | |
71 | MI | 8 | 64 | 6 | F | blue | 2 | 1.00 | 4 | 4 | 4 | 4 | 3 | 1 | 5 | 6 | 5 | 2 | 2 | |
42 | IL | 8 | 65 | 8 | F | red | 4 | 4.00 | 4 | 3 | 3 | 3 | 5 | 6 | 4 | 2 | 3 | 6 | 1 | |
76 | NY | 9 | 65 | 7 | F | red | 3 | 7.00 | 6 | 2 | 5 | 4 | 2 | 1 | 5 | 2 | 4 | 1 | 2 | |
63 | PA | 10 | 66 | 8 | F | silver | 3 | 5.00 | 7 | 4 | 6 | 5 | 1 | 2 | 2 | 5 | 1 | 3 | 5 | |
36 | TX | 7 | 66 | 5 | M | orange | 3 | 6.00 | 3 | 5 | 5 | 2 | 5 | 6 | 4 | 2 | 1 | 4 | 2 | |
63 | NY | 11 | 67 | 8 | M | green | 3 | 4.00 | 6 | 4 | 4 | 3 | 6 | 3 | 4 | 5 | 6 | 1 | 5 | |
38 | OR | 10 | 67 | 8 | F | silver | 2 | 15.00 | 4 | 2 | 3 | 1 | 4 | 3 | 6 | 6 | 5 | 1 | 3 | |
28 | NY | 7 | 67 | 4 | F | black | 1 | 29.00 | 4 | 3 | 4 | 2 | 3 | 6 | 3 | 3 | 3 | 1 | 3 | |
55 | OH | 9 | 67 | 8 | F | dark blue | 4 | 31.00 | 4 | 1 | 3 | 3 | 6 | 4 | 4 | 2 | 1 | 1 | 5 | |
33 | SC | 11 | 68 | 8 | M | blue | 1 | 9.00 | 4 | 3 | 2 | 3 | 4 | 3 | 1 | 6 | 6 | 2 | 3 | |
40 | IL | 10 | 68 | 6 | M | green | 5 | 16.00 | 5 | 4 | 2 | 2 | 2 | 1 | 2 | 3 | 2 | 3 | 6 | |
80 | NV | 12 | 69 | 8 | M | white | 4 | 3.00 | 4 | 5 | 1 | 4 | 4 | 2 | 4 | 4 | 4 | 1 | 4 | |
86 | FL | 11 | 69 | 8 | M | black | 3 | 6.00 | 3 | 3 | 4 | 6 | 2 | 2 | 1 | 1 | 3 | 3 | 2 | |
83 | FL | 13 | 69 | 8 | M | blue | 3 | 8.00 | 3 | 4 | 3 | 5 | 2 | 2 | 1 | 5 | 3 | 5 | 6 | |
4 | NY | 9 | 69 | 7 | F | blue | 5 | 21.00 | 5 | 5 | 6 | 4 | 2 | 5 | 2 | 2 | 4 | 5 | 1 | |
39 | SC | 11 | 69 | 10 | M | red | 3 | 26.00 | 4 | 4 | 5 | 5 | 3 | 6 | 6 | 2 | 5 | 3 | 4 | |
25 | CA | 8 | 69 | 6 | F | silver | 4 | 34.00 | 4 | 3 | 4 | 3 | 2 | 6 | 6 | 2 | 5 | 5 | 1 | |
25 | GA | 9 | 69 | 7 | M | silver | 3 | 53.00 | 5 | 4 | 6 | 2 | 2 | 1 | 2 | 2 | 2 | 6 | 2 | |
54 | FL | 9 | 70 | 8 | F | green | 2 | 5.00 | 3 | 5 | 3 | 1 | 3 | 3 | 3 | 5 | 5 | 2 | 6 | |
54 | CA | 5 | 70 | 5 | F | green | 6 | 6.00 | 7 | 6 | 4 | 4 | 3 | 4 | 2 | 5 | 1 | 1 | 6 | |
81 | CA | 10 | 70 | 8 | F | black | 2 | 7.00 | 7 | 4 | 3 | 5 | 3 | 4 | 1 | 6 | 6 | 4 | 6 | |
73 | FL | 12 | 70 | 7 | F | green | 4 | 15.00 | 3 | 3 | 2 | 4 | 2 | 2 | 5 | 1 | 1 | 5 | 4 | |
29 | TX | 9 | 70 | 7 | M | silver | 2 | 32.00 | 3 | 2 | 1 | 3 | 6 | 5 | 2 | 3 | 4 | 3 | 2 | |
76 | PA | 11 | 71 | 4 | M | silver | 5 | 13.00 | 5 | 1 | 4 | 2 | 6 | 2 | 4 | 4 | 2 | 5 | 4 | |
78 | CA | 9 | 71 | 9 | M | blue | 2 | 47.00 | 2 | 2 | 5 | 3 | 1 | 5 | 4 | 3 | 1 | 1 | 4 | |
77 | PA | 10 | 71 | 8 | M | blue | 1 | 52.00 | 5 | 3 | 6 | 4 | 1 | 3 | 2 | 2 | 2 | 6 | 3 | |
42 | TX | 9 | 73 | 7 | F | black | 3 | 7.00 | 3 | 4 | 4 | 5 | 2 | 2 | 1 | 6 | 1 | 5 | 2 | |
36 | OR | 9 | 73 | 7 | M | blue | 5 | 23.00 | 5 | 5 | 3 | 6 | 2 | 2 | 2 | 1 | 4 | 5 | 1 | |
71 | PA | 7 | 74 | 8 | M | black | 4 | 6.00 | 7 | 6 | 2 | 1 | 2 | 4 | 1 | 2 | 4 | 1 | 6 | |
94 | KY | 11 | 74 | 8 | M | red | 3 | 20.00 | 4 | 5 | 3 | 1 | 1 | 5 | 1 | 3 | 2 | 5 | 1 | |
6 | OR | 13 | 75 | 10 | M | silver | 6 | 7.00 | 4 | 4 | 4 | 3 | 5 | 1 | 1 | 6 | 6 | 1 | 4 | |
