Question

In: Statistics and Probability

Forty-three students participated in a lottery for one of three free laptops. Fifteen of the students...

  1. Forty-three students participated in a lottery for one of three free laptops. Fifteen of the students were in the same sorority. When all three of the winners were in the same sorority, several students were concerned that the drawing was not fair. Use a simulation of 10 trials to determine whether an all-sorority outcome could reasonably be expected if everyone had an equal opportunity to win one of the laptops.

  1. Identify the component to be repeated: (2 points)
  2. Explain how you will model the outcome: (3 points)
  3. Identify the response variable: (2 points)
  4. Run the ten trials and record your results. Use the random number table shown below beginning at Row 20. (5 points)
  5. Summarize your results (1 point):
  6. State your conclusion (5 points):

Row 20

39634 62349 74088 65564 16379 19713 39153 69459 17986 24537

14595 35050 40469 27478 44526 67331 93365 54526 22356 93208

30734 71571 83722 79712 25775 65178 07763 82928 31131 30196

64628 89126 91254 24090 25752 03091 39411 73146 06089 15630

42831 95113 43511 42082 15140 34733 68076 18292 69486 80468

Solutions

Expert Solution

a) We have to find the 3 students randomly selected from 43 students. We have to repeat sampling from 43 students with equal probability .

b) Let the students are numbered from 1, 2, ..,43. Let the 1,...,15 represents the sorority students. If we randomly selects 3 students and all are students from 1,..,15 we conclude that the 3 laptops were won by the sorority students.

c)  The response variable (also known as an outcome, target or dependent variable) is the set of 3 students drawn from 43.

d) The theoretical probability that all 3 laptops weree won by 15 students is

The R code for running the simulations is given below.

P <- rep(1/43,length=43)
S <- 1:43
S
N <- 1000
p <- 0
for (i in 1:N)
{
S3 <- sample(S, 3, prob = P, replace = FALSE)
if (0<S3[1]& S3[1]<16 & 0<S3[2]& S3[2]<16 & 0<S3[3]& S3[3]<16)
{
p <- p+1/N
}
}
p

The simulated probability is 0.037 close to theoretical 0.0369.

e) Since the probability 0.037 << 0.5, we can conclude that all-sorority outcome cannot reasonably be expected and the drawing was not fair. We at need at least a 50% (0.5) chance to say that the drawing was fair.


Related Solutions

Suppose a fitness center has two weight-loss programs. Fifteen students complete Program A, and fifteen students...
Suppose a fitness center has two weight-loss programs. Fifteen students complete Program A, and fifteen students complete Program B. Afterward, the mean and standard deviation of weight loss for each sample are computed (summarized below). What is the difference between the mean weight losses, among all students in the population? Answer with 95% confidence. Prog A - Mean 10.5 St dev 5.6 Prog B - Mean 13.1 St dev 5.2
Randomly selected students participated in an experiment to test their ability to determine when one minute​...
Randomly selected students participated in an experiment to test their ability to determine when one minute​ (or sixty​ seconds) has passed. Forty students yielded a sample mean of 57.5 seconds. Assuming that sigmaequals9.2 ​seconds, construct and interpret a 95​% confidence interval estimate of the population mean of all students. hat is the 95​% confidence interval for the population mean mu​? Based on the​ result, is it likely that the​ students' estimates have a mean that is reasonably close to sixty​...
Hypothesis test of one mean 1. A random sample of eight students participated in a psychological...
Hypothesis test of one mean 1. A random sample of eight students participated in a psychological test of depth perception. Two markers, one labeled A and the other B, were arranged at a fixed distance apart at the far end of the laboratory. One by one the students were asked to judge the distance between the two markers at the other end of the room. The sample data (in feet) were as follows: 2.2, 2.3, 2.7, 2.4, 1.9, 2.4, 2.5,...
Forty-minute workouts of one of the following activities three days a week will lead to a...
Forty-minute workouts of one of the following activities three days a week will lead to a loss of weight. Suppose the following sample data show the number of calories burned during 40-minute workouts for three different activities. Swimming Tennis Cycling 413 420 390 385 490 245 430 450 295 400 415 397 422 525 273 Do these data indicate differences in the amount of calories burned for the three activities? Use a 0.05 level of significance. Find the value of...
Forty-minute workouts of one of the following activities three days a week will lead to a...
Forty-minute workouts of one of the following activities three days a week will lead to a loss of weight. Suppose the following sample data show the number of calories burned during 40-minute workouts for three different activities. Swimming Tennis Cycling 403 410 385 375 490 250 430 450 290 400 415 397 432 535 263 Do these data indicate differences in the amount of calories burned for the three activities? Use a 0.05 level of significance. Find the value of...
Forty-minute workouts of one of the following activities three days a week will lead to a...
Forty-minute workouts of one of the following activities three days a week will lead to a loss of weight. Suppose the following sample data show the number of calories burned during 40-minute workouts for three different activities. Swimming Tennis Cycling 403 415 390 385 485 255 420 450 295 395 425 402 422 530 268 Do these data indicate differences in the amount of calories burned for the three activities? Use a 0.05 level of significance. Find the value of...
Forty-minute workouts of one of the following activities three days a week will lead to a...
Forty-minute workouts of one of the following activities three days a week will lead to a loss of weight. The following sample data show the number of calories burned during -minute workouts for three different activities. Swimming Tennis Cycling 415 385 408 380 485 250 425 450 295 400 420 402 427 530 268 Use a .05 level of significance. Use Table 1 of Appendix B. a. What is the sum of the ranks for Swimming, Tennis and Cycling (to...
You are interested in studying the effect of laptops in class on students’ performance. At the...
You are interested in studying the effect of laptops in class on students’ performance. At the beginning of the quarter, you randomly assign your 250 students to sit on either the left half or the right half of the lecture hall. Students on the left half are told to bring laptops to class and to take notes on their laptops. Students who sit on the right side of the room are required to write notes on paper. At the end...
4. One hundred students were interviewed. Forty–two are Monthly Active Users (MAU) of Facebook (F), and...
4. One hundred students were interviewed. Forty–two are Monthly Active Users (MAU) of Facebook (F), and sixty–five are MAU of Snapchat(S). Thirty–four are MAU of both Facebook and Snapchat. One of the100 students is randomly selected, all 100 students having the same probability of selection (1/100). (a) What is the probability that the student is an MAU of Facebook? (b) What is the probability that the student is an MAU of Facebook given that the student is an MAU of...
Krusskal – Wallis Test Forty-minute workouts of one if the following activities three days a week...
Krusskal – Wallis Test Forty-minute workouts of one if the following activities three days a week will lead to a loss weight. The following sample data show the number of calories burned during 40-minute workouts for three different activities. Swimming Tennis Cycling 408 415 385 380 485 250 425 450 295 400 420 402 427 530 268 a. At the 0.05 level of significance, is there evidence of a significant difference in the median amount of calories burned among the...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT