My factory makes thermometers and I am testing if they are accurate. I will test this by measuring the average temperatures of different thermometers in ice-water. The null hypothesis is that the true average reading of thermometers from this factory in ice-water is 0◦ against the two-sided alternative. I will construct a p-value. What will the value of the p-value mean? If you wish, you can pretend the value of the p-value will be 0.06.
In: Math
Parking lots; A survey of autos parked in student and staff lots at a large university classified the brands by country of origin, as seen in the table
Driver
Student Staff
American 104 105
European 33 11
Asian 55 48
a) What percentage of all cars surveyed wcre American?
b) What percentage of the American cars were owned by students?
c) What percen of the students owned American
d) What is the marginal distribution of origin ?
e) What is the condition of drivers American cars?
f) Do you think that the origin of the car is independent of the type of driver? Explain
In: Math
A population proportion is 0.5. A sample of size 200 will be taken and the sample proportion will be used to estimate the population proportion. Use z-table.
Round your answers to four decimal places. Do not round intermediate calculations.
a. What is the probability that the sample proportion will be within +/-0.02 of the population proportion?
b. What is the probability that the sample proportion will be within +/-0.07 of the population proportion?
In: Math
Practice Problems |
||||||
SIBNUM |
work |
age |
RELSTAT |
DRKFRQ |
||
Mean |
1.75 |
9.65 |
22.6 |
2.13 |
3.04 |
|
Std. Deviation |
1.117 |
9.20 |
2.4 |
1.124 |
0.77 |
|
Minimum |
0 |
0 |
2 |
1 |
1 |
|
Maximum |
6 |
40 |
45 |
6 |
5 |
|
A) For the composite, what score do you need to qualify for Mensa, which requires you to be in the top 2% of the population?
B) Oddly enough, Phillip scored exactly 500 on each subscore… what percent of students scored higher in each subscore? What percent of students scored LOWER than his composite score of 1000?
C) MU admissions accept a 1080 composite score as sufficient to demonstrate potential success as a student. What percent of students qualify?
D) The MU honor’s college accepts incoming freshmen with a composite SAT of 1380 (if you were ALSO top 15%ile of high school class). What percent of students qualify with that composite score?
Subscore |
Reading |
Math |
Writing |
Composite |
Mean |
413 |
556 |
468 |
1010 |
SD |
114 |
117 |
113 |
231 |
In: Math
State Alabama |
Cigarettes 1820 |
Can you create a pie chart for “Cigarettes”? If so, display it. If this cannot be created in Minitab, explain why.
Can you create a bar chart for “Cigarettes”? Is so, display it. If this cannot be created in Minitab, explain why.
Concerning the descriptive statistics for “Cigarettes,” what should “N*” or “N missing” be? (Minitab won’t tell you this answer, but you can figure it out.)
In: Math
The speed with which utility companies can resolve problems is very important. GTC, the Georgetown Telephone Company, reports it can resolve customer problems the same day they are reported in 64% of the cases. Suppose the 15 cases reported today are representative of all complaints. a-1. How many of the problems would you expect to be resolved today? (Round your answer to 2 decimal places.) Number of Problems a-2. What is the standard deviation? (Round your answer to 4 decimal places.) Standard Deviation b. What is the probability 8 of the problems can be resolved today? (Round your answer to 4 decimal places.) Probability c. What is the probability 8 or 9 of the problems can be resolved today? (Round your answer to 4 decimal places.) Probability d. What is the probability more than 10 of the problems can be resolved today? (Round your answer to 4 decimal places.) Probability
In: Math
In: Math
In the M/M/1 system, derive P0 by equating the rate at which customers arrive with the rate at which they depart
In: Math
Using the most appropriate type of graph to present weekly closing price of the Bitcoin and provide a general description. Hint: What are the main features of this graph, is there a trend? [Topic 1]
Calculate the weekly return and construct a histogram. Does the data appear normally distributed? Is there evidence of outliers? Hint: the formula for a return is (Current Price – Previous price)/Previous price multiplied by 100 [Topics 1-3]
Calculate and interpret the three aspects of Descriptive Analysis, Location, Shape and Spread, for weekly return. [Topic 1]
What is the empirical probability of a loss? [Topic 2]
Repeat the same steps (steps 1-4 above) for three share prices in the Australia Securities Exchange: BHP Billiton (BHP) from the mining sector, Commonwealth Bank of Australia (CBA) from the bank sector, and Telstra Corporation (TLS) from the telecom sector.
Construct a 95% confidence interval of the return to Bitcoin, and interpret the interval. How does your interval change if the level of confidence is 90% and 95% respectively, and explain why. [Topics 6-7]
Construct a 95% confidence interval of the return to BHP, CBA, and TLS respectively. [Topics 6-7]
An investment advisor claimed that the return to Bitcoin is 4% while the returns to other three shares are no different from zero. Do you agree? Justify your reasoning using a two-tailed hypothesis test approach at the significance level of 5%. [Topic 8]
Data source: Yahoo Finance | |||
Data frenquecy: weekly closing price | |||
Data measurement unit: AU$ | |||
Short Name | Full Name | ||
BIT | Bitcoin | ||
BHP | BHP Billiton | ||
CBA | Commonwealth Bank of Australia | ||
TLS | Telstra Corporation | ||
Date | BIT | CBA | BHP | TLS |
15/6/14 | 690 | 80.9812 | 33.5932 | 5.17 |
22/6/14 | 665 | 81.031 | 34.0324 | 5.26 |
29/6/14 | 661.2 | 81.5084 | 35.107 | 5.34 |
6/7/14 | 692.14 | 80.7923 | 35.1163 | 5.33 |
13/7/14 | 614.12 | 80.832 | 35.8732 | 5.43 |
20/7/14 | 600.84 | 81.8366 | 36.4432 | 5.45 |
27/7/14 | 665.93 | 82.3737 | 35.8919 | 5.44 |
3/8/14 | 687.76 | 79.6982 | 35.2658 | 5.39 |
10/8/14 | 584.97 | 80.7624 | 36.4899 | 5.58 |
17/8/14 | 543 | 80.1756 | 35.3219 | 5.71 |
24/8/14 | 510.53 | 80.8818 | 34.266 | 5.56 |
31/8/14 | 537.92 | 80.8619 | 33.3128 | 5.64 |
7/9/14 | 562.43 | 79.7977 | 33.4437 | 5.54 |
14/9/14 | 424.44 | 77.3907 | 33.154 | 5.41 |
21/9/14 | 460.15 | 74.8544 | 31.9205 | 5.31 |
28/9/14 | 353.36 | 76.237 | 31.2571 | 5.39 |
5/10/14 | 481.64 | 74.3969 | 30.1918 | 5.29 |
12/10/14 | 485.55 | 76.1275 | 31.2103 | 5.38 |
19/10/14 | 449.98 | 78.3455 | 31.528 | 5.5 |
27/10/14 | 419.9 | 80.0463 | 31.7336 | 5.63 |
3/11/14 | 440.98 | 82.314 | 32.2289 | 5.77 |
10/11/14 | 463.96 | 81.3294 | 31.0702 | 5.8 |
17/11/14 | 448.09 | 79.6584 | 29.6218 | 5.65 |
24/11/14 | 471.5 | 80.285 | 28.8929 | 5.69 |
1/12/14 | 476 | 81.2001 | 28.4257 | 5.67 |
8/12/14 | 419.55 | 81.2995 | 26.5942 | 5.7 |
15/12/14 | 434.97 | 83.2589 | 27.0801 | 5.89 |
22/12/14 | 443.46 | 84.4624 | 27.0708 | 5.91 |
29/12/14 | 362.8 | 85.278 | 27.6034 | 5.97 |
5/1/15 | 350.09 | 85.5763 | 27.2483 | 6.07 |
12/1/15 | 290.02 | 83.1197 | 25.2766 | 6.22 |
19/1/15 | 480.51 | 85.7653 | 27.4539 | 6.34 |
26/1/15 | 289.48 | 88.8486 | 27.3418 | 6.5 |
2/2/15 | 309.59 | 92.479 | 29.4816 | 6.59 |
9/2/15 | 323.9 | 92.648 | 30.061 | 6.59 |
16/2/15 | 323.5 | 89.7239 | 30.1825 | 6.61 |
23/2/15 | 354.85 | 91.4247 | 31.444 | 6.37 |
2/3/15 | 351.34 | 90.5991 | 30.5002 | 6.28 |
9/3/15 | 405.86 | 90.8279 | 27.809 | 6.2 |
16/3/15 | 349.82 | 95.8009 | 28.6593 | 6.37 |
23/3/15 | 380 | 93.8316 | 28.7341 | 6.38 |
29/3/15 | 320.56 | 93.8913 | 28.2388 | 6.32 |
5/4/15 | 379.94 | 93.6227 | 28.1641 | 6.28 |
12/4/15 | 365 | 91.5838 | 28.0052 | 6.14 |
19/4/15 | 300 | 91.6037 | 29.9489 | 6.32 |
26/4/15 | 324.68 | 88.4408 | 30.3694 | 6.24 |
3/5/15 | 295.91 | 82.1947 | 29.248 | 6.17 |
10/5/15 | 345.03 | 84.2933 | 30.36 | 6.2 |
17/5/15 | 327.36 | 82.6621 | 29.25 | 6.2 |
24/5/15 | 369.69 | 84.6315 | 29.59 | 6.22 |
31/5/15 | 328.8 | 79.8573 | 27.9 | 6.01 |
7/6/15 | 320.5 | 80.9812 | 27.9 | 6.03 |
14/6/15 | 312.87 | 84.0148 | 28.41 | 6.13 |
21/6/15 | 325.62 | 86.1831 | 27.5 | 6.2 |
28/6/15 | 362.18 | 86.193 | 26.59 | 6.13 |
5/7/15 | 443.58 | 85.3277 | 26.65 | 6.21 |
12/7/15 | 412.15 | 87.5059 | 27.1 | 6.42 |
19/7/15 | 401.96 | 85.3476 | 25.27 | 6.36 |
26/7/15 | 415 | 87.0882 | 26.45 | 6.49 |
2/8/15 | 362.04 | 80.8619 | 25.93 | 6.29 |
9/8/15 | 329.08 | 81.6775 | 25.32 | 6.08 |
16/8/15 | 357.53 | 75.59 | 24.1 | 6.07 |
23/8/15 | 320.4 | 76.36 | 25.49 | 5.82 |
30/8/15 | 349.46 | 72.15 | 24.69 | 5.61 |
6/9/15 | 330.8 | 75.13 | 23.71 | 5.55 |
13/9/15 | 323.27 | 75.83 | 24.46 | 5.65 |
20/9/15 | 346.48 | 71.44 | 22.93 | 5.67 |
27/9/15 | 350.66 | 73.39 | 22.6 | 5.62 |
4/10/15 | 339.59 | 75.53 | 25.6 | 5.64 |
11/10/15 | 373.53 | 76.55 | 25 | 5.44 |
18/10/15 | 400.01 | 77.35 | 24.59 | 5.58 |
26/10/15 | 477.69 | 76.73 | 23.02 | 5.4 |
2/11/15 | 551.39 | 76.59 | 22.7 | 5.31 |
9/11/15 | 471.79 | 75.76 | 20.23 | 5.14 |
16/11/15 | 476.89 | 79.83 | 20.5 | 5.41 |
23/11/15 | 518.39 | 80.12 | 18.77 | 5.4 |
30/11/15 | 540.58 | 80.22 | 17.93 | 5.41 |
7/12/15 | 605.46 | 78.95 | 17.2 | 5.2 |
14/12/15 | 616.24 | 81.57 | 16.87 | 5.48 |
21/12/15 | 581.21 | 83.32 | 18.34 | 5.46 |
28/12/15 | 582.38 | 85.53 | 17.86 | 5.61 |
4/1/16 | 642.2 | 79.42 | 16.35 | 5.3 |
11/1/16 | 554.28 | 78.88 | 15.07 | 5.33 |
18/1/16 | 573.92 | 76.56 | 15.26 | 5.54 |
25/1/16 | 532.58 | 78.67 | 15.35 | 5.63 |
1/2/16 | 529.39 | 76.6 | 16.2 | 5.65 |
8/2/16 | 567.05 | 73.33 | 15.09 | 5.57 |
15/2/16 | 609.61 | 73.43 | 16.61 | 5.28 |
22/2/16 | 606.68 | 70.72 | 15.59 | 5.27 |
29/2/16 | 548.07 | 75.74 | 17.67 | 5.13 |
7/3/16 | 543.69 | 76.37 | 17.61 | 5.16 |
14/3/16 | 584.58 | 78.16 | 18.1 | 5.22 |
21/3/16 | 589.97 | 74.82 | 17 | 5.25 |
27/3/16 | 585.82 | 72.99 | 16.97 | 5.26 |
3/4/16 | 555.66 | 70.76 | 16.18 | 5.16 |
10/4/16 | 574.93 | 75 | 19.28 | 5.24 |
17/4/16 | 616.19 | 75.04 | 20.36 | 5.4 |
24/4/16 | 588.28 | 73.89 | 20.68 | 5.36 |
1/5/16 | 655.87 | 74.35 | 18.46 | 5.6 |
8/5/16 | 642.67 | 77.39 | 18.2 | 5.68 |
15/5/16 | 612.75 | 78.12 | 18.85 | 5.66 |
22/5/16 | 701.27 | 78.9 | 19.37 | 5.67 |
29/5/16 | 788.69 | 75.75 | 18.53 | 5.59 |
5/6/16 | 903.09 | 75.49 | 18.8 | 5.46 |
12/6/16 | 1053.05 | 72.03 | 18.08 | 5.31 |
19/6/16 | 905.65 | 72.57 | 17.54 | 5.35 |
26/6/16 | 897.08 | 73.83 | 19.09 | 5.58 |
3/7/16 | 871.54 | 72.41 | 19.05 | 5.59 |
10/7/16 | 895.01 | 75.94 | 20.37 | 5.75 |
17/7/16 | 893.52 | 77.14 | 19.3 | 5.8 |
24/7/16 | 823.18 | 77.35 | 19.52 | 5.77 |
31/7/16 | 787.93 | 76.15 | 20.03 | 5.66 |
7/8/16 | 750.5 | 76.01 | 20.68 | 5.45 |
14/8/16 | 760 | 73.45 | 21.29 | 5.48 |
21/8/16 | 770 | 73.26 | 20.88 | 5.3 |
28/8/16 | 815.6 | 70.91 | 19.85 | 5.12 |
4/9/16 | 814 | 70.87 | 20.78 | 5.06 |
11/9/16 | 834.99 | 72.24 | 20.09 | 5.1 |
18/9/16 | 786.2 | 73.4 | 21.53 | 5.19 |
25/9/16 | 819.42 | 72.4 | 22.38 | 5.18 |
2/10/16 | 815.57 | 74.38 | 23.3 | 5.01 |
9/10/16 | 854 | 74.58 | 22.54 | 5.08 |
16/10/16 | 861.02 | 74.9 | 23.04 | 5.04 |
23/10/16 | 925 | 72.75 | 22.98 | 4.95 |
31/10/16 | 925.83 | 70.99 | 22.27 | 4.9 |
7/11/16 | 931.9 | 75.78 | 24.94 | 4.72 |
14/11/16 | 1000.52 | 76.86 | 24.1 | 4.93 |
21/11/16 | 1002.97 | 78.17 | 26.5 | 5.03 |
28/11/16 | 1024.27 | 78.6 | 25.02 | 4.95 |
5/12/16 | 1075.2 | 80.67 | 25.98 | 4.99 |
12/12/16 | 1106.2 | 81.06 | 25 | 4.91 |
19/12/16 | 1235.94 | 82.5 | 24.63 | 5.04 |
26/12/16 | 1381.4 | 82.41 | 25.06 | 5.1 |
2/1/17 | 1244.41 | 84.13 | 25.5 | 5.26 |
9/1/17 | 1095.16 | 83.86 | 26.33 | 5.22 |
16/1/17 | 1223.2 | 81.58 | 26.35 | 5.14 |
23/1/17 | 1238.34 | 82.98 | 27.52 | 5.11 |
30/1/17 | 1347.74 | 81.68 | 26.2 | 5.08 |
6/2/17 | 1341.48 | 82.9 | 25.88 | 5.16 |
13/2/17 | 1375.95 | 85.39 | 26.64 | 4.84 |
20/2/17 | 1553.46 | 83.02 | 25.06 | 4.81 |
27/2/17 | 1690.27 | 83.2 | 25.34 | 4.59 |
6/3/17 | 1649.1 | 84.5 | 23.67 | 4.64 |
13/3/17 | 1362.27 | 84.77 | 24.84 | 4.76 |
20/3/17 | 1277.61 | 83.38 | 24.26 | 4.59 |
26/3/17 | 1472.88 | 85.91 | 24.04 | 4.66 |
2/4/17 | 1612.83 | 84.77 | 24.59 | 4.56 |
9/4/17 | 1588.75 | 86.25 | 24.31 | 4.16 |
16/4/17 | 1683.46 | 85.64 | 24.04 | 4.23 |
23/4/17 | 1781.71 | 87.4 | 23.72 | 4.22 |
30/4/17 | 2196.67 | 84.4 | 22.62 | 4.4 |
7/5/17 | 2595.07 | 81.67 | 23.75 | 4.36 |
14/5/17 | 2860.85 | 80.23 | 24.28 | 4.43 |
21/5/17 | 3094.79 | 80.14 | 24.01 | 4.48 |
28/5/17 | 3493.27 | 80.38 | 24.07 | 4.49 |
4/6/17 | 3889.46 | 79.19 | 23.54 | 4.37 |
11/6/17 | 3588.86 | 81.86 | 22.99 | 4.38 |
18/6/17 | 3503.31 | 81.25 | 22.41 | 4.35 |
25/6/17 | 3342.76 | 82.81 | 23.28 | 4.3 |
2/7/17 | 3415.51 | 82.13 | 24.59 | 4.32 |
9/7/17 | 2510 | 83.12 | 25.13 | 4.3 |
16/7/17 | 3541.5 | 83.97 | 24.49 | 4.1 |
23/7/17 | 3529.74 | 83.76 | 25.33 | 4.11 |
30/7/17 | 4060.53 | 80.72 | 25.72 | 4.07 |
6/8/17 | 5318.14 | 80.5 | 25.55 | 4.15 |
13/8/17 | 5298.76 | 79.09 | 25.39 | 3.9 |
20/8/17 | 5620 | 77.72 | 26.68 | 3.92 |
27/8/17 | 6018.4 | 75.48 | 27.42 | 3.67 |
3/9/17 | 5319.46 | 73.24 | 27.29 | 3.7 |
10/9/17 | 4593.05 | 76.28 | 26.26 | 3.65 |
17/9/17 | 4625.38 | 76.62 | 25.95 | 3.58 |
24/9/17 | 5565.36 | 75.25 | 25.78 | 3.49 |
1/10/17 | 5887.35 | 76.3 | 26.61 | 3.44 |
8/10/17 | 7226.76 | 76.66 | 26.36 | 3.52 |
15/10/17 | 7713.93 | 78.97 | 26.68 | 3.52 |
22/10/17 | 8018.65 | 78.24 | 26.59 | 3.55 |
30/10/17 | 9692.39 | 77.79 | 27.69 | 3.5 |
6/11/17 | 7924.89 | 80.85 | 28.07 | 3.46 |
13/11/17 | 10693.55 | 80.92 | 27.12 | 3.45 |
20/11/17 | 12297.99 | 80.57 | 27.97 | 3.48 |
27/11/17 | 15024.19 | 79.17 | 27.58 | 3.42 |
4/12/17 | 21184.87 | 79.62 | 27.17 | 3.69 |
11/12/17 | 25986.55 | 79.94 | 27.71 | 3.69 |
18/12/17 | 18939.79 | 80.39 | 29.1 | 3.66 |
25/12/17 | 19050.74 | 80.34 | 29.57 | 3.63 |
1/1/18 | 22862.21 | 81.16 | 30.58 | 3.73 |
8/1/18 | 19041.51 | 80.88 | 31.53 | 3.74 |
15/1/18 | 15148.37 | 79.83 | 30.69 | 3.57 |
22/1/18 | 14445.12 | 78.65 | 30.85 | 3.56 |
29/1/18 | 10225.82 | 80.79 | 30.81 | 3.67 |
5/2/18 | 10382.72 | 76.25 | 29.13 | 3.49 |
12/2/18 | 13338.45 | 74.02 | 31.52 | 3.43 |
19/2/18 | 12300.72 | 75.46 | 30.68 | 3.48 |
26/2/18 | 14763.94 | 75.73 | 29.63 | 3.27 |
5/3/18 | 12143.73 | 76.87 | 28.32 | 3.44 |
12/3/18 | 10646.88 | 75.34 | 29.16 | 3.35 |
19/3/18 | 11039.19 | 72.81 | 28.77 | 3.22 |
25/3/18 | 8835.98 | 72.31 | 28.21 | 3.14 |
1/4/18 | 9130.39 | 73.49 | 28.64 | 3.1 |
8/4/18 | 10654.32 | 73.16 | 29.73 | 3.1 |
15/4/18 | 11357.21 | 72.06 | 30.86 | 3.08 |
22/4/18 | 12432.76 | 71.54 | 31.11 | 3.15 |
29/4/18 | 12682.62 | 72.76 | 31.49 | 3.24 |
6/5/18 | 11560.03 | 70.53 | 33.16 | 3.2 |
13/5/18 | 11318.46 | 70.5 | 34.08 | 2.85 |
20/5/18 | 9752.02 | 69.87 | 33.07 | 2.87 |
27/5/18 | 10233.1 | 68.7 | 33.08 | 2.78 |
3/6/18 | 8956.31 | 69.37 | 34.07 | 2.77 |
10/6/18 | 8717.19 | 68.98 | 33.56 | 2.94 |
17/6/18 | 9008.23 | 69.88 | 32.36 |
2.77 |
In: Math
4. The mean score on a standardized test is 540 with a standard deviation of 55. What percent of students taking the test scored above 625? (nearest hundredth)
5. True or False. A z-score is the number of standard deviations from the median.
6. True or False. A z-score cannot be negative.
7. True or False. If the standard deviation is small, the data values are very varied.
8. True or False. The standard error of the mean is smaller than the standard deviation of the population.
9. True or False. The z a/2 value cannot be a negative number.
In: Math
In a clinical trial, 20 out of 823 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 1.9% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 1.9% of this drug's users experience flulike symptoms as a side effect at the alpha equals 0.01 level of significance?
In: Math
A medical researcher wants to compare the pulse rates of smokers and non-smokers. He believes that the pulse rate for smokers and non-smokers is different and wants to test this claim at the 0.05 level of significance. The researcher checks 72 smokers and finds that they have a mean pulse rate of 75, and 81 non-smokers have a mean pulse rate of 72. The standard deviation of the pulse rates is found to be 6 for smokers and 9 for non-smokers. Let μ1 be the true mean pulse rate for smokers and μ2 be the true mean pulse rate for non-smokers.
Step 1 of 4: State the null and alternative hypotheses for the test.
Step 2 of 4: Compute the value of the test statistic. Round your answer to two decimal places.
Step 3 of 4: Determine the decision rule for rejecting the null hypothesis H0H0. Round the numerical portion of your answer to two decimal places.
....reject H0 if
Step 4 of 4: Make the decision for the hypothesis test.
....reject null hypothesis...fail to reject null hypothesis
In: Math
An agronomist is conducting a field experiment to identify the best management practice for minimizing spread of a certain plant disease in corn. He compares four different management strategies designed so that they would reduce the spread of the disease. He has set up a field study with a total of 25 experimental plots planted with corn and with 5 treatments (4 disease prevention treatments and a control treatment). Each treatment has been assigned to 5 randomly selected plots. Plant biomass was then measured from each plot at the end of the experiment. The ANOVA table and the treatment means are shown below.
ANOVA:
|
DF |
Sum of Squares |
Mean Square |
F-value |
---|---|---|---|---|
Treatment |
4 |
345 |
86 |
2.4 |
Error |
20 |
714 |
36 |
a)(10 points) Conduct all pairwise comparisons between the treatment means using LSD, (=0.05). Present the results using letters assigned to treatment means (Use letters in the column Letters for part a) in the below table)
Show LSD value: |
b)(10 points) Conduct all pairwise comparisons between the treatment means using Tukey’s HSD (=0.05). Present the results using letters assigned to treatment means. (Use the column Letters for part b) in the below table)
Show HSD value: |
NAME:____________________________
c)(10 points) Did you expect to see differences in conclusions obtained using the two methods (LSD and Tukey’s)? Which method would you use for this analysis? For full credit, provide an explanationof your choice.
Treatment |
Mean values of the plant biomass |
Letters for part a) |
Letters for part b) |
Management 1 |
6.6 |
||
Management 2 |
14.6 |
||
Management 3 |
31.4 |
||
Management 4 |
24.1 |
||
Control (no management) |
2.2 |
Step by step procedure by hand, possibly shortest way to go about this problem would be ideal. thank you in advance
In: Math
3) Here are the weights (kg) of 15 male lions and 17 female lions (all adults). Construct a correct parallel boxplot for these data. males: 176.0 175.7 174.2 185.1 168.1 165.1 177.3 172.4 188.3 162.4 167.3 154.6 176.8 181.8 182.5 females: 105.8 98.1 128.3 114.7 113.6 135.0 125.3 113.5 110.7 109.2 104.1 153.4 105.2 130.4 129.8 111.6 135.0 PLOT ON PAPER PLEASE AND SHOW WORK
In: Math
suppose that there are two types of busses, red ones arrive at rate λred per minute, blue ones arrive at rate λblue per minute, and all busses arrive independently of each other
Find the probability that:
(a) the first red bus arrives before the first blue bus.
(b) the second red bus arrives before the second blue bus
In: Math