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
A restaurant offers its patrons the following choices for a complete dinner:
i. choose one appetizer out of four;
ii. choose one entree out of five;
iii. choose two different items from a list of three kinds of potatoes, three vegetables, and one salad;
iv. choose one dessert out of four;
v. choose one beverage out of three.
a. How many different dinners can be ordered without ordering more than one kind of potato, assuming that no course is omitted?
b. How many different dinners can be ordered with no more than one kind of potato if one item, other than the entree, is omitted?
In: Math
Use R to answer the following question. Copy and paste the code and answer from R into your paper.
On the average,five cars arrive at a particular car wash every
hour. Let X count the number of cars that arrive from 10 AM to 11
AM. Then X ∼pois(lambda = 5). Also, μ = σ2 = 5.
What is the probability that no car arrives during this
period?
Suppose the car wash above is in operation from 8AM to 6PM, and
we let Y be the number of customers that appear in this period.
Since this period covers a total of 10 hours. What is the
probability that there are between 48 and 50 customers,
inclusive?
In: Math
There are ten volunteers, from whom we must choose three people for the committee. Three of the volunteers are women. Define ?? to be the number of women in the group of three that are chosen for the committee.
a. How many ways can you choose three people out of 10?
b. Find the exact probability, ??(?? = 2).
c. Find the exact probability, ??(?? ≥ 2).
In: Math
Use the given categorical data to construct the relative frequency distribution.
Natural births randomly selected from four hospitals in a highly populated region occurred on the days of the week (in the order of Monday through Sunday) with the frequencies 52, 64, 72, 55, 57, 45, 55. Does it appear that such births occur on the days of the week with equal frequency?
Construct the relative frequency distribution.
Day Relative frequency
Monday ___%
Tuesday ___%
Wednesday ___%
Thursday ____%
Friday ___%
Saturday ___%
Sunday ____%
(Type integers or decimals. Round to two decimal places as needed.)
Let the frequencies be substantially different if any frequency is at least twice any other frequency, Does it appear that these births occur on the days of the week with equal frequency?
A. Yes, it appears that births occur on the days of the week with frequencies that are about the same.
B. No, it appears that births occur on the days of the week with frequencies that are substantially different.
C. Yes, it appears that births occur on the days of the week with frequencies that are exactly the same.
D. It is impossible to determine with the given information.
In: Math