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- There are several risks and costs associated with the airline's decision to overbook flights. If too many passengers show up, the airline may need to offer incentives for customers to give up their seats, which can be costly. If too few passengers show up, the airline may be forced to fly with empty seats, resulting in lost revenue. Furthermore, overbooking can lead to negative publicity and damage to the airline's reputation if too many customers are bumped from their flights. In terms of strategy, the airline must weigh the potential benefits of overbooking (maximizing revenue by filling as many seats as possible) against the potential risks and costs. The airline may also consider adjusting its overbooking policy based on factors such as the route, time of day, and historical data on no-show rates for specific flights. Overall, effective demand forecasting and capacity planning are crucial for the airline to optimize its operations and profitability while minimizing negative…A pharmaceutical company is testing the effectiveness of its vaccine across two different age brackets. They take a sample and split the participants up into two separate groups. Group A consists of 44 people who are between ages 13 and 18. Group B consists of 58 people between ages 19 and 26. After being administered the vaccine, it was found that 37 people from group A were immune to the virus and 42 people from group B were immune. (this is the same situation from the previous daily) Why do we use the 'pooled proportion' instead of the null hypothesis in the denominator of the test statistic? At a 10% significance level, is there reason to believe there is a difference in vaccine efficacy between Group A and Group B? explain each stepIt has been observed that some persons who suffer colitis, again suffer colitis within one year of the first episode. This is due, in part, to damage from the first episode. The performance of a new drug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode. In order to do this two groups of people suffering a first episode are selected. There are 55 people in the first group and this group will be administered the new drug. There are 45 people in the second group and this group will be administered a placebo. After one year, 11% of the first group has a second episode and 9% of the second group has a second episode. Conduct a hypothesis test to determine, at the significance level 0.1, whether there is reason to believe that the true percentage of those in the first group who suffer a second episode is different from the true percentage of those in the second group who suffer a second episode? Select the [Alternative Hypothesis,…
- It has been observed that some persons who suffer renal failure, again suffer renal failure within one year of the first episode. This is due, in part, to damage from the first episode. The performance of a new drug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode. In order to do this two groups of people suffering a first episode are selected. There are 45 people in the first group and this group will be administered the new drug. There are 75 people in the second group and this group will be administered a placebo. After one year, 12% of the first group has a second episode and 14% of the second group has a second episode. Conduct a hypothesis test to determine, at the significance level 0.1, whether there is reason to believe that the true percentage of those in the first group who suffer a second episode is less than the true percentage of those in the second group who suffer a second episode? Select the [Rejection Region,…When looking at the data for graduate school admissions between men and women, it is shown that about 45% of men are admitted but only 38% of women. However, when the data is broken down by school it turns out that, within each school, the women are admitted at higher rates than the men. This could happen because I. The women apply in higher numbers to schools with lower acceptance rates. II. The women apply in higher numbers to schools with higher acceptance rates III. The men apply in higher numbers to schools with lower acceptance rates IV. The men apply in higher numbers to schools with higher acceptance ratesIt has been observed that some persons who suffer renal failure, again suffer renal failure within one year of the first episode. This is due, in part, to damage from the first episode. The performance of a new drug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode. In order to do this two groups of people suffering a first episode are selected. There are 55 people in the first group and this group will be administered the new drug. There are 75 people in the second group and this group will be administered a placebo. After one year, 10% of the first group has a second episode and 9% of the second group has a second episode. Conduct a hypothesis test to determine, at the significance level 0.01, whether there is reason to believe that the true percentage of those in the first group who suffer a second episode is different from the true percentage of those in the second group who suffer a second episode? Select the [Alternative…
- In a study carried out among low-income families in the young towns of Detroit, it was found that 30% spent less than $8 weekly on purchasing charcoal and consumed products from soup kitchens. 35% spent $8 to $15 weekly on the purchase of charcoal. 5% spent more than $15 weekly on the purchase of charcoal and consumed products from the soup kitchen. 15% spent more than $15 each week buying coal. Finally, 55% did not consume the products of the soup kitchens.If you randomly choose a low-income familyto. What is the probability that you spend less than $8 weekly on purchasing coal?b. What is the probability that you do not consume the products of the soup kitchens and spend 8 to 15 dollars buying charcoal?C. If the family spends more than $15 weekly on purchasing charcoal, what is the probability that they will not consume the products from the soup kitchens?d. If the family does not consume products from soup kitchens, what is the probability that it will spend less than 8 soles per…A dairy farmer thinks that the average weight gain of his cows depends on two factors: the type of grain that they are fed and the type of grass that they are fed. The dairy farmer has four different types of grain from which to choose and three different types of grass from which to choose. He would like to determine if there is a particular combination of grain and grass that would lead to the greatest weight gain on average for his cows. He randomly selects three one-year-old cows and assigns them to each of the possible combinations of grain and grass. After one year he records the weight gain for each cow (in pounds) with the following results. Is there sufficient evidence to conclude that there is a significant difference in the average weight gains among the cows for the different types of grain? Cow Weight Gain (Pounds) Grass A Grass B Grass B Grain A 359359 327327 232232 277277 250250 163163 191191 304304 216216 Grain B 331331 348348 176176 318318 205205…A psychologist would like to examine the effects of different testing methods on the final performance of college students. One group has regular quizzes (n=4), one group has three large exams (n=4), and the third group only has a final exam (n=4). At the end of the course, the psychologist interviews each student to get a measure of the student’s overall knowledge of the material. Quizzes Exams Final Only 4 1 0 N = 12 6 4 2 G = 36 3 5 0 ΣX2 = 164 7 2 2 T = 20 T = 12 T = 4 SS = 10 SS = 10…
- Suppose you are a basketball coach and you've taken some measures on your starting five players. The two measures that you're most interested in right now are scores on a two-minute jump shot test (x) and time in seconds on a shuttle run (y). You want to determine a couple of things:1) On which variable (jump shots or shuttle run time) are your starters more consistent? 2) For player #1, is she a faster runner or better at jump shots? 3) For player #4, is she a faster runner or better at jump shots? Player # Jump shot score (x) Shuttle run time (y) 1 17 37 2 20 45 3 4 59 4 34 48 5 22 42with my answer in screenshot 1 will you help me with the ones in screenshot 2 pleaseA basketball coach is interested in determining if shooting free throws underhand is better than shooting them using the overhead method. He has four high school teams (two boys' teams and two girls' teams, with 13 players on each team) available to take part in an experiment. He believes that the difference in shooting percentages will vary more for boys than for girls. He randomly chooses and instructs half of the boys to continue shooting free throws overhead and the rest of the boys to shoot underhand. He does the same for the girls. At the end of a six-game summer league, he compares the shooting percentages for the overhead shooting boys to the underhand shooting boys and the overhead shooting girls to the underhand shooting girls. (a) What is the advantage of using a block design for this study? O Blocking by gender will reduce the variation in the response variable by creating homogeneous groups and determining the effect of the new shooting style on the response (percentage of…