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- dik koordinatylarda x,y öyleki x kare artı y kare küçüktür beş denkleminin grafiğini çizinizAUA wants to know whether recent alumni students from MBA class earn significantly more than recent alumni from BAB class. They take a sample of several students and ask the amount of their monthly salaries in USD (Sheet 32). What can AUA conclude at alpha=0.05? Sheet 32 MBA BAB 515 300 450 420 620 380 630 450 570 420 590 490 750 510 560 470 480 530 250 570 320 480 450 620 625 190 350 280 450 350 570 250 Select one: a. t(stat)=1.92, which is greater than t(cr)=1.7, therefore, we can conclude that MBA graduates earn more BAB graduates. b. t(stat)=1.89, which is greater than t(cr)=1.75, therefore, we can conclude that MBA graduates earn more BAB graduates. c. t(stat)=2.07, which is greater than t(cr)=1.69, therefore, we cannot conclude that MBA graduates earn more BAB graduates. d. t(stat)=2.07, which is greater than t(cr)=1.69, therefore, we can conclude that MBA graduates earn more BAB graduates.Company X has 10 employees, each placing an average of 20 minutes of long-distance calls per day. The average call lasts 5 minutes. It has been determined that 20% of the calls are made during busy hour. A total of 4 external phone lines are used to place the pool of calls. Calculate the traffic flow in Erlang during the busy hour.
- An ecologist is considering two different positions in which to setup his solar energy collector. He takes two identical collector places one in each of the positions and measure the energy in at collected as 10 consecutive days. Days 1 2 3 4 5 6 7 8 9 10 Position X 2.6 5.4 3.2 5.0 4.3 2.7 2.6 3.9 6.0 1.6 POSITION y 2.8 5.1 3.1 6.0 4.6 3.2 2.9 4.5 6.2 2.2 Test whether the difference of mean is significance ? what will be the answerA manufacturing company employs two devices to inspect output for quality control purposes. The first device is able to accurately detect 99.3% of the defective items it receives, whereas the second is able to do so in 99.7% of the cases. Assume that four defective items are produced and sent out for inspection. Let X and Y denote the number of items that will be identified as defective by inspecting devices 1 and 2, respectively. Assume that the devices are independent.A.) Determine fxy(X=4,Y=3).B.) Determine fxy(X=3,Y=4)C.) Determine fxy(X=4,Y=4)D.) Determine fxy(X=4)A manufacturing company employs two devices to inspect output for quality control purposes. The first device is able to accurately detect 99.3% of the defective items it receives, whereas the second is able to do so in 99.7% of the cases. Assume that four defective items are produced and sent out for inspection. Let X and Y denote the number of items that will be identified as defective by inspecting devices 1 and 2, respectively. Assume that the devices are independent. a)Determine fxy(X=4,Y=3). b)Determine fxy(X=3,Y=4).
- Find the orthogonal trajectories of the following family: y = Ce-xGaben wants to investigate first if gender is associated with whether the student exhibits excessive hours in playing online games. In his research, a student is said to exhibit excessive gaming if he/she plays for more than 10 hours per week. The following results were obtained. The assumptions of the Chi-square test of independence were __________. Based on the p-value of _______, there is ___________ evidence to say that there is an association between whether the student exhibits excessive gaming or not and his/her gender. Moreover, the Cramer’s V value of _____________ indicates that there is a _________________ association between the two variables.A certain market has both an express checkout line and a superexpress checkout line. Let X1 denote the number of customers in line at the express checkout at a particular time of day, and let X2 denote the number of customers in line at the superexpress checkout at the same time. Suppose the joint pmf of X1 and X2 is as given in the accompanying table. x2 0 1 2 3 x1 0 0.09 0.07 0.04 0.00 1 0.05 0.15 0.05 0.04 2 0.05 0.03 0.10 0.06 3 0.01 0.02 0.04 0.07 4 0.00 0.02 0.05 0.06 (a) What is P(X1 = 1, X2 = 1), that is, the probability that there is exactly one customer in each line?P(X1 = 1, X2 = 1) = (b) What is P(X1 = X2), that is, the probability that the numbers of customers in the two lines are identical?P(X1 = X2) = (c) Let A denote the event that there are at least two more customers in one line than in the other line. Express A in terms of X1 and X2. A = {X1 ≥ 2…
- are F2 and F3 conservative? also what about parts B and C?The 2019-2020 flu season was especially tough.By the end of the season, an estimated total of 49 million people in the United States had contracted the flu, of whom an estimated 79,000 died from the flu. Assume that the US population was 300,000,000 during the 2019-2020 flu season and that during the season, a total of 2.9 million Americans died from all causes (including the flu). Assume the population of the US remained the same at the midpoint of the season. Report mortality rates per 100,000. Be sure to express the measure in the correct format. c.What was the flu-related mortality rate during the 2019-2020 flu season? d.What is the all-cause mortality rate during the 2019-2020 flu season? e.In a country with an age distribution that is much younger than in the US, the proportionate mortality rate from flu in 2019 was 5%. Based on this information alone, can we determine that the risk of dying from flu in 2019 was higher in this country compared to the US? Why or why not?A researcher hypothesizes that electrical stimulation of the lateral habenula will resultin a decrease in food intake (in this case, chocolate chips) in rats. Rats undergostereotaxic surgery and an electrode is implanted in the right lateral habenula. Followinga ten day recovery period, rats (kept at 80 percent body weight) are tested for thenumber of chocolate chips consumed during a 10 minute period of time both with andwithout electrical stimulation. The testing conditions are counter balanced. Compute theappropriate t-test for the data provided below.Stimulation No Stimulation12 87 73 411 148 65 714 127 59 510 8What probability level did you choose and why?What were your degrees of freedom?Is there a significant difference between the two testing conditions?Interpret your answer.If you have made an error, would it be a Type I or a Type II error? Explain youranswer.