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- SO what would be the L, Lq, and Wq of this problem? Assuming we are trying to develop and sovle a waiting line system that can accomodate this increased leel of passenger traffic.In a clinical trial, 2828 out of 887887 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.62.6% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.62.6% of this drug's users experience flulike symptoms as a side effect at the alpha equals 0.05α=0.05 level of significance?Because np 0 left parenthesis 1 minus p 0 right parenthesisnp01−p0equals= nothing▼ 10, the sample size is ▼less thanless than greater thangreater than 5% of the population size, and the sample ▼can be reasonably assumed to be random, is given to be random, is given to not be random, cannot be reasonably assumed to be random, the requirements for testing the hypothesis ▼are not are satisfied.(Round to one decimal place as needed.)Enter your answer in the answer box and then click Check Answer.What effects appear to be present for this factorial design? B1 B2 A1 10 5 A2 10 15 Main effect for A; No main effect for B; No AxB interaction Main effect for A; Main effect for B; AxB interaction Main effect for A; No main effect for B; AxB interaction No main effect for A; Main effect for B; AxB interaction
- Suppose a researcher compares the means of two independent groups that have the same number of participants in each group. The researcher uses the .05 level of significance and obtains a calculated value of t of 2.11. At least how many participants must be in each group in order to reject the null hypothesis?A. 10B. 9C. 8D. 11The manufacturer of a gasoline additive claims that the use of this additive increases’gasoline mileage. A random sample of 6 cars was selected, and these cars were drivenfor one week without the gasoline additive and then for one week with the additive.The following table gives the mileage (in miles per gallon) for these cars with andwithout the additive: car 1 2 3 4 5 6 mileage without additive 24.6 28.3 18.9 23.7 15.4 29.5 mileage with additive 26.3 31.7 18.2 25.3 18.3 30.9 Assuming mileage are normally distributed, can you conclude that the use of thegasoline additive increases mileage at the 2.5% significance level?In a study of a group of women science majors who remained in their profession and a group who left their profession within a few months of graduation, the researchers collected the data shown here on a self-esteem questionnaire. Leavers Stayers1 = 3.05 2 = 2.92σ1 = 0.71 σ2 = 0.71n1 = 100 n2 = 227At α = 0.05, can it be concluded that there is a difference in the self-esteem scores of the two groups? Use the P-value method.
- Consider the following datax -5 -4 -3 -2 -1 0 1 2 3 4 5Y - 125 - 64 - 27 -8 -1 0 1 8 27 64 125a. Calculate the correlation between x and y, and perform a hypothesis test to determine if the correlation is significantly greater than zero. Use a significance level of 5%.b. Are you willing to conclude that there is a strong linear association between the two variables? Use at least one graph to support your answer, and to explain why or why not.A sample of men and women who had passed their driver's test either the first time or the second time were surveyed, with the following results: Results of the driving testGender First time Second timeMen 126 211Women 135 178a) Do these data suggest that there is a relationship between gender and the passing of their driver’s test from which the present sample was drawn? Let alpha=.05A researcher is using a two-tailed hypothesis test with α = 0.01 to evaluate the effect of a treatment. If theboundaries for the critical region are t = ± 2.845, then how many individuals are in the sample?A. n = 23B. n = 22C. n = 21D. n = 20E. cannot be determined from the information given
- A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. MaleDriver FemaleDriver 1.3 -0.3 1.3 0.6 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use ?males − ?females. Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t = df =…The following table presents results from a simulated shopping and in-home product use test for a new toilet tissue from P&G's Charmin. The new brand, Charmin All Purpose, was positioned to compete against Private Labels (store brands) and as such was priced lower than brand Charmin. Stimulated Shopping Call Back Charmin All Purpose Charmin Private Label Totals Charmin All Purpose 100 80 20 200 Charmin 50 300 50 400 Private Label 50 100 250 400 200 480 320 1000 Assume the P&G is comfortable that 95% of households will be aware of the new Charmin brand and that it will have an ACV of .95. What is your estimate of the first year share that Charmin All Purpose will achieve? What, if any, are the positives coming out of this test? What, if any, are the negatives?A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. MaleDriver FemaleDriver 1.4 -0.2 1.2 0.5 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use ?males − ?females. Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t = df =…
