Question

In: Statistics and Probability

Use the heights from the SCC data to answer the following questions. Men are to use...

Use the heights from the SCC data to answer the following questions. Men are to use the male data, and women are to use the female data (only answer the questions for ONE set of data, not both).

2. State the following for the SCC sample male heights.

a. Sample size (n)

b. Sample mean (?̅)

c. Sample standard deviation (s

male Student # Gender Height Shoe Age Hand

1 M 67 10 19 R

2 M 74 12 17 R

3 M 72 11.5 19 R

4 M 69 10 35 R

5 M 66 9 18 R

6 M 71 10.5 17 R

7 M 72 10.5 17 R

8 M 66 10 20 R

9 M 67 10 18 R

10 M 71 10.5 24 R

11 M 66 10 21 R

12 M 71 10.5 18 R

13 M 69 10 22 R

14 M 66 9.5 18 L

15 M 76 14 18 R

16 M 69 11 22 R

17 M 68 9 19 R

18 M 70 12 30 R

19 M 67 10 24 R

20 M 70 11 21 R

21 M 70 10 52 R

22 M 63 9 27 R

23 M 69 11 22 R

24 M 72 10 22 R

25 M 76 11.5 20 L

26 M 75 11 17 R

27 M 72 11 50 L

28 M 69 11 20 R

29 M 70 12 20 R

30 M 69 11.5 23 R

31 M 70 11 18 R

32 M 67 10 21 R

33 M 68 11 44 R

34 M 76 13 48 R

35 M 62 8 23 L

36 M 69 9 19 R

37 M 72 10 60 R

38 M 73 11.5 41 R

39 M 70 9.5 39 R

40 M 78 15 24 R

41 M 65 8.5 23 R

42 M 68 9.5 20 R

Solutions

Expert Solution

a) sample size(n)= 42

There are 42 samples/records overall

b)sample mean(?̅)= sum of all male student's hights/No of male students= 2930/42= 69.76

c)Sample standard deviation

The Standard Deviation(σ) is a measure of how spread out numbers are.

σ=

Variance  

where ?̅= mean= 69.76

n= no of samples= 42

Variance is the average of the squared differences from the Mean.

Student #

Height(xi) xi-mean (xi-mean)^2
1 67 -2.7619 7.628117914
2 74 4.238095 17.96145125
3 72 2.238095 5.009070295
4 69 -0.7619 0.580498866
5 66 -3.7619 14.15192744
6 71 1.238095 1.532879819
7 72 2.238095 5.009070295
8 66 -3.7619 14.15192744
9 67 -2.7619 7.628117914
10 71 1.238095 1.532879819
11 66 -3.7619 14.15192744
12 71 1.238095 1.532879819
13 69 -0.7619 0.580498866
14 66 -3.7619 14.15192744
15 76 6.238095 38.9138322
16 69 -0.7619 0.580498866
17 68 -1.7619 3.10430839
18 70 0.238095 0.056689342
19 67 -2.7619 7.628117914
20 70 0.238095 0.056689342
21 70 0.238095 0.056689342
22 63 -6.7619 45.72335601
23 69 -0.7619 0.580498866
24 72 2.238095 5.009070295
25 76 6.238095 38.9138322
26 75 5.238095 27.43764172
27 72 2.238095 5.009070295
28 69 -0.7619 0.580498866
29 70 0.238095 0.056689342
30 69 -0.7619 0.580498866
31 70 0.238095 0.056689342
32 67 -2.7619 7.628117914
33 68 -1.7619 3.10430839
34 76 6.238095 38.9138322
35 62 -7.7619 60.24716553
36 69 -0.7619 0.580498866
37 72 2.238095 5.009070295
38 73 3.238095 10.48526077
39 70 0.238095 0.056689342
40 78 8.238095 67.86621315
41 65 -4.7619 22.67573696
42 68 -1.7619 3.10430839
Mean 69.7619 Variance=(xi-mean)^2)/41= 12.18583043
Standard Deviation =3.490820882

Variance for the hights calculated using excel= 12.18583

Standard Deviation= 3.490820882



Related Solutions

Use the heights from the SCC data to answer the following questions. Men are to use...
Use the heights from the SCC data to answer the following questions. Men are to use the male data, and women are to use the female data (only answer the questions for ONE set of data, not both). 2. State the following for the SCC sample female/male heights. a. Sample size (n) b. Sample mean (?̅) c. Sample standard deviation (s) 3. Use the sample to make a point estimate of the mean height of the entire female/male SCC student...
Use the following data to answer the questions below:
Use the following data to answer the questions below:             Q                 VC             MC           AVC              1                 $10              ___            ___                                   2                16              ___            ___                       3                20              ___            ___                                   4                25              ___            ___              5                31              ___            ___              6                  38              ___            ___                  7                  46              ___            ___8                  55              ___            ___9                  65              ___            ___         a. Calculate the marginal cost and average variable cost for each level of production.b. How much would the firm produce if it could sell its product for...
Use the following information to answer questions 42 to 44: The following summary data are from...
Use the following information to answer questions 42 to 44: The following summary data are from a performance report for CDE Ltd for June, during which 11,000 units were produced. Budgeted production was 10,000 units. Budget (10,000 units) Actual Costs (11,000 units) Variances    Raw materials $200 000 $208 800 $8 800 A    Direct labour $70 000 $71 000 $1 000 A    Factory fixed overhead $24 000 $24 200 $200 A $294 000 $304 000 $10 000 A...
The following table provides data for a project. Use the data to answer the following questions...
The following table provides data for a project. Use the data to answer the following questions Activity Immediate Predecessor Time Estimates (weeks) Optimistic Most Likely Pessimistic Expected Variance A - 6 7 14 B - 8 10 12 C A 2 3 4 D A 6 7 8 E B,C 5 5.5 9 F B,C 5 7 9 G D,E 4 6 8 H F 2.5 3 3.5 Draw a network to represent the above project. What is the critical...
Use the data given in the table to answer the following questions. The data represents the...
Use the data given in the table to answer the following questions. The data represents the average number of miles that a salesperson travels in a day verses the number of sales made each month. Miles, x 24 32 75 41 76 107 32 46 112 Sales, y 76 58 190 112 141 235 24 147 188 (a) What is the value of the correlation coefficient for this set of data? Round to 3 decimal places. (b) What is the...
Please answer all the questions. Thank you Use the following data to answer the questions below:...
Please answer all the questions. Thank you Use the following data to answer the questions below: Column 1 Column 2 Column 3 Y in $ C in $ 0 500 500 850 1,000 1,200 1,500 1,550 2,000 1,900 2,500 2,250 3,000 2,600 What is mpc and mps? Compute mpc and mps. Assume investment equals $ 100, government spending equals $ 75, exports equal $ 50 and imports equal $ 35. Compute the aggregate expenditure in column 3. Draw a graph...
For Questions 1-4 , use the table below. It is data for the heights (inches) for...
For Questions 1-4 , use the table below. It is data for the heights (inches) for Ms. Smith’s 4th grade class. Student Height (inches) Student Height (inches) 1 47 11 53 2 47 12 54 3 47 13 55 4 49 14 56 5 50 15 59 6 51 16 59 7 51 17 60 8 52 18 60 9 52 19 60 10 52 20 91 The median height of the students is 42.32 52.50 54.45 58.35 The standard...
Use the chart of data below to answer the following questions. This data represents enrollment for...
Use the chart of data below to answer the following questions. This data represents enrollment for the Fall semesters 2013 – 2017 years. Part a: Is being part time dependent upon gender? Part b: Is the probability of being a male student enrolled (or female) dependent upon year? Part c: Create a probability tree, with the appropriate probabilities using the data from the table. Assume the tree is showing the PT or FT probabilities given the gender of the student....
Use the following information to answer the next three questions. Civil engineers collected data from one...
Use the following information to answer the next three questions. Civil engineers collected data from one area of Calgary on the amount of salt (in tons) used to keep highways drivable during a snowstorm. The amount of salt for n=10 snowstorms were as follows: 1111, 2215, 1573, 2813, 2815, 2126, 854, 3965, 1819, 776. Find a 95% confidence interval for the true population mean amount of salt required in a snowstorm. 1) What is the margin of error for this...
Use the following information to answer questions (problems) 16 - 18. The following data are the...
Use the following information to answer questions (problems) 16 - 18. The following data are the result of inspecting aircraft seat belt buckles produced in various lot sizes. Number of buckles in each sample Number of defective buckles found 100 15 110 7 95 18 90 8 150 10 85 14 50 9 115 20 110 6 95 12 A- WORTH 4 POINTS: What is the average percent defective? Show work & formulae used or just use Minitab and attach/embed....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT