Exercise 07.45 Algorithmic 4 Oues Check A O Allegiant Airlines charges a mean base fare of $88. In addition, the airline charges for making a reservation on its website checking bags, and inflight beverages. These additio charges average $34 per passenger. Suppose a random sample of 70 passengers is taken to determine the total cost of their flight on Allegiant Airlines. The population standard of total flight cost is known to be $37. Use z-table. a. What is the population mean cost per flight? S 122 b. What is the probability the sample mean will be within $10 of the population mean cost per flight (to 4 decimals)? c. What is the probability the sample mean will be within $5 of the population mean cost per flight (to 4 decimals)? Hide Feedback Partially Correct Check My Wor
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- Miller (2008) examined the energy drink consumption of college undergraduates and found that males used energy drinks significantly more often than females did. To further investigate this phenomenon, a researcher selects a random sample of n = 36 male undergraduates and a sample of n = 25 females. On average, the males report consuming M = 2.45 drinks per month, and females have an average of M = 1.28. Assume that the overall level of consumption for college undergraduates averages μ = 1.85 energy drinks per month and that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ = 1.2. Did this sample of males consume significantly more energy drinks than the overall population average? Use a one-tailed test with α = .01. Use the Distributions tool to help you find the critical values. The null hypothesis is H₀: . For the sample of males, the standard error is σMM = , and z =, which is the critical value of .…A recent poll found that 664 out of 1026 randomly selected people in a particular country felt that colleges and universities with big sports programs placed too much emphasis on athletics over academics. Assuming the conditions for the CLT are met, use the accompanying Minitab output to complete parts a and b below. N Event Sample p 95% CI for p 1026 664 0.647173 (0.617934, 0.676413) Question content area bottom b. Suppose a sports blogger wrote an article claiming that a majority of adults from this country believe that colleges and universities with big sports programs place too much emphasis on athletics over academics. Does this confidence interval support the blogger's claim? Explain your reasoning. A. No, it is not a plausible claim because the confidence interval contains 50%. B. No, it is not a plausible claim because the confidence interval does not contain only values above 50%. C. Yes, it is a…A report stated that on average a child eats more than 35 candies on the Halloween day. We randomly selected 16 children and obtained these data: 30 40 15 29 40 21 19 39 18 2 25 10 50 12 35 17 At α=.05 can it be concluded that the report is accurate?
- A simple random sample of heights of 6400 Englishmen has a mean of67.85 inches and SD 2.56 inches, while a simple random sample of heightsof 1600 Australians has a mean of 68.55 inches and SD of 2.52 inches. Dothe data indicate that Australians are, on the average, taller thanEnglishmen?Are Husbands More Likely to Be Older Than Wives? Exercise 2.213 introduces a dataset giving the ages of the two people getting married for a sample of marriage licenses. (In the sample, all of the marriages were between male-female couples.) In the sample of 105 marriages, the husband was older than the wife in 75 of them. Test to see if this sample provides evidence that, in male-female married couples, the husband is older than the wife in more than half of them. Use p to represent the proportion of all male-female married couples for which the husband is older, and show all details of the test. Test-statistic = (round to three decimal places)p-value = (round to four decimal places)Conclusion: Reject H0. We cannot conclude that the husband is older in more than half of male-female married couples. Reject H0. We have evidence that the husband is older in more than half of all male-female married couples. Do not reject H0. We have evidence that…Miller (2008) examined the energy drink consumption of college undergraduates and found that males use energy drinks significantly more often than females. To further investigate this phenomenon, suppose a researcher selects a random sample of n = 36 male undergraduates and a sample of n = 25 females. On average, the males reported consuming M = 2.45 drinks per month and females had an average of M = 1.28. Assume that the overall level of consumption for college undergraduates averages μ = 1.85 energy drinks per month, and that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ = 1.2. A) The researcher wants to know if the sample of males consume significantly more energy drinks than the overall population average. What decision should be made about the null hypothesis? Be sure to use the correct language when answering this question. Compute Cohen’s d to measure the size of the effect. Is it a small, medium or large effect?…
- Miller (2008) examined the energy drink consumption of college undergraduates and found that males use energy drinks significantly more often than females. To further investigate this phenomenon, suppose a researcher selects a random sample of n = 36 male undergraduates and a sample of n = 25 females. On average, the males reported consuming M = 2.45 drinks per month and females had an average of M = 1.28. Assume that the overall level of consumption for college undergraduates averages μ = 1.85 energy drinks per month, and that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ = 1.2. What decision should be made about the null hypothesis? Be sure to use the correct language when answering this question. Compute Cohen’s d to measure the size of the effect. Is it a small, medium or large effect? Write a sentence describing the outcome of the hypothesis test and the measure of effect size as it would appear in a research…Miller (2008) examined the energy drink consumption of college undergraduates and found that males use energy drinks significantly more often than females. To further investigate this phenomenon, suppose a researcher selects a random sample of n = 36 male undergraduates and a sample of n = 25 females. On average, the males reported consuming M = 2.45 drinks per month and females had an average of M = 1.28. Assume that the overall level of consumption for college undergraduates averages μ = 1.85 energy drinks per month, and that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ = 1.2. A) The researcher wants to know if the sample of males consume significantly more energy drinks than the overall population average. What are the independent and dependent variables? Using symbols, state the hypotheses for the type of test you indicated in part b. (H0 and H1) Test the researcher’s hypothesis - use an α = .01. What decision…Miller (2008) examined the energy drink consumption of college undergraduates and found that males use energy drinks significantly more often than females. To further investigate this phenomenon, suppose a researcher selects a random sample of n = 36 male undergraduates and a sample of n = 25 females. On average, the males reported consuming M = 2.45 drinks per month and females had an average of M = 1.28. Assume that the overall level of consumption for college undergraduates averages μ = 1.85 energy drinks per month, and that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ = 1.2. A) The researcher wants to know if the sample of males consume significantly more energy drinks than the overall population average. What are the independent and dependent variables? Using symbols, state the hypotheses for the type of test you indicated in part b. (H0 and H1) Test the researcher’s hypothesis - use an α = .01. What decision…
- Medical research has shown that repeated wrist extensions beyond 20 degrees increase the risk of wrist and hand injuries. Each of 24 students at Cornell University used a proposed new computer mouse design, and while using the mouse, each student’s wrist extension was recorded. Data consistent with summary values given in the paper “Comparative Study of Two Computer Mouse Designs” (Cornell Human Factors Laboratory Technical Report RP7992) are given here. 27 28 24 26 27 25 25 24 24 22 25 24 28 27 26 31 25 28 25 28 27 25 a. Use these data to estimate the mean wrist extension for people using this new mouse design using a 90% confidence interval.b. What assumptions are required in order for it to be appropriate to generalize your estimate to the population of Cornell students? To the population of all university students?c. Based on your interval from Part (a), do you think there is reason to believe that the mean wrist extension for people using the new mousedesign is…Refer to the generated sample in Exercise 9, test the hypothesis that the pulse rate/min. after the exercise is higher than the pulse rate/min. before the exercise by 50, on the average. Use 5% level of significance. (Step by step solution without using excel) Pulse rate/min.Student 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16Before Exercise 88 75 79 80 88 97 87 100 90 79 80 88 97 87 79 80After Exercise 92 88 79 90 100 105 100 107 99 79 90 100 105 100 79 90 Ho:Ha:α =Decision Rule:Computation:Decision:Conclusion:Since its removal from the banned substances list in 2004 by the World Anti-Doping Agency,caffeine has been used by athletes with the expectancy that it enhances their workout andperformance. However, few studies look at the role caffeine plays in sedentary females.Researchers at the University of Western Australia conducted a test in which they determined therate of energy expenditure (kilojoules) on 10 healthy, sedentary females who were nonregularcaffeine users. Each female was randomly assigned either a placebo or caffeine pill (6mg/kg) 60minutes prior to exercise. The subject rode an exercise bike for 15 minutes at 65% of theirmaximum heart rate, and the energy expenditure was measured. The process was repeated on aseparate day for the remaining treatment. The mean difference in energy expenditure (caffeine –placebo) was 18kJ with a standard deviation of 19kJ. If we assume that the differences follow anormal distribution can it be concluded that that caffeine appears to increase…