Identify the rejection region for testing the hypotheses with a=0.01. Select the correct choice below and fill in the answer box (Round to three decimal places as needed.)
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A: Sample size n =38 Population mean μ =81
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A: Sample size n =44 Favorable cases x =22 Sample proportion p^=x/n =22/44 =0.500
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A: Answer: From the given data, Number of rows (r) = 6 Number of columns (c) = 3
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A: x1 = 229 n1 =18450 x2 = 47 n2 = 2202 Confidence level 95% p1 = x1/n1 = 229 / 18450 = 0.01241 p2 =…
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A: Total =1025 Guilty plea and sent to prison = 390
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A: Sample size=n=270
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A: Confidence level=90%
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A: n=400, X=188
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A: Population standard deviation =6.8 Margin of error =E =2
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A: From the provided information, n1=13x1=16.2s1=4.7n2=13x2=19.4s2=4.6α=0.0.1
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A: Answer Given 50c 60c 70c 31 26…
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A: Sample size n =264 Favorable cases x =67 Sample proportion p^=x/n =67/264 =0.2538
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A: From the provided information, Out of 200 people sampled, 128 voted in the last election. Sample…
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A: Answer Given Z = 1.57 H0: P= 0.5 H1: P>0.5 [right-tailed test]. alpha = 0.01
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A: sample size(n)=51x=27significance level(α)=0.10sample proportion(p^)=xn=2751≅0.5294
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A: y = a+bx b = -0.89 a = 23.49 r2 = 0.6519 r = -0.8074
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A: Group 1: Before the smoke free legislation Sample mean=5.2% Standard error =0.7% Group 2: We…
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A: Regression equation y^=26.699-0.639*x
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A: n1=2897 , n2=1332
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A: When y = 1 , f(y = 1) = 30 When y = 2 , f(y = 2) = 37 When y = 3 , f(y = 3) = 33
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A: No. of textbooks (n) = 12 No. of retailers (k) = 3 N = 12*3 = 36 SStextbooks = 16624 SSretailers =…
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- Find the probability of each event. Getting 2 red eggs in a single scoop from a bucket containing 5 red eggs and 7 yellow eggsFind the probability of each event. Drawing 5 orange cubes from a bowl containing 5 orange cubes and 1 beige cubesMateo believes that completely cutting caffeine out of a person's diet will allow them more restful sleep at night. He randomly selects 8 adults to help him test this theory. Each person is asked to consume two caffeinated beverages per day for 28 days and then cut back to no caffeinated bevarages for an additional 28 days. During each period, the participants record the number of nights of restful sleep that they had. The following table gives the results of the study. Test Mateo's claim at the 0.05 level of significance. Give answers to 4 decimal places as needed. Number of Nights of Restful Sleep in a Four-Week Period 15 With Caffeine 21 20 22 24 18 21 24 20 26 26 22 21 23 27 23 Without Caffeine a) The normal probability plot showed the differences follow a normal distribution and the boxplot showed no outliers. b) Test the claim (1) Determine the null and alternative hypotheses. Enter correct symbol and values Ho: H₁: (2) Type of test: (3) a = (4) Test statistic (to) = p-value =…
- Walter is a sales manager for a chain of car dealerships. He encourages the managers at each store to spend as much time on the sales floor as they can. He is curious if this has any effect on the number of cars sold. Each manager reports the number of hours per day he or she spends on the sales floor. From this, Walter creates the scatterplot below showing sales and time on the floor. What information can Walter infer from the scatterplot? Select all that apply. 10 9 8 1 1 3 4 7 Average Hours on Sales Floor O There is a positive correlation between hours on the sales floor and sales. O There is no correlation between hours on the sales floor and sales. O There is a negative correlation between hours on the sales floor and sales. O Walter should require all managers to spend more hours on the sales floor. O Walter should make no changes to policies regarding hours on the sales floor for managers. O Walter should help managers who spend little time on the sales floor find ways to spend…A driver’s age has something to do with his or her chance of getting into a fatal car crash. The bar graph shows the number of fatal vehicle crashes per 100 million miles driven for drivers of various age groups. For example, 25-year-old drivers are involved in 4.1 fatal crashes per 100 million miles driven. Thus, when a group of 25-year-old Americans have driven a total of 100 million miles, approximately 4 have been in accidents in which someone died. The number of fatal vehicle crashes per 100 million miles, y, for drivers of age x can be modeled by the formula : y = 0.013x2 - 1.19x + 28.24. Use the formula above and the bar graph at the bottom of the previous page to solve, What age groups are expected to be involved in 3 fatal crashes per 100 million miles driven? How well does the formula model the trend in the actual data shown in the bar graph?Shelly polled students at her university to see what proportion are in favour of a slight tuition increase to fund construction of the new student union building. She took a simple random sample of 250 students. In her sample, 131 were in favour of the tuition increase. QUESTION A B AND C ARE ALREADY COMPLETED PLEASE CHECK THIS LINK FOR THE WORK AND ANSWERS TO A B AND C. PLEASE COMPLETE THE REST, QUESTIONS D, E, AND F. LINK TO ANSWER AND WORK FOR A B AND C: https://www.bartleby.com/questions-and-answers/shelly-polled-students-at-her-university-to-see-what-proportion-are-in-favour-of-a-slight-tuition-in/00b3f755-30ab-4245-ba97-5d7e5a955f10 PLEASE COMPLETE QUESTION D, E, AND F. THANKS. (a) Suppose Shelly were to (hypothetically) repeat this process many times, taking a simple random sample of 250 students each time. If 50% of all students at the university were in favour of the tuition increase, what would be the approximate sampling distribution of Shelly’s sample proportions? Show…
- A medical researcher obtains a sample of adults suffering from diabetes. She randomly assigns 95 people to a treatment group and 95 to a placebo group. The treatment group receives medication over a period of three months and the placebo group receives a placebo. After the three months the patients' symptoms are evaluated. Is it observational study or experiment?A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n = 5 in each sample. The rats in the first sample serve as a control and do not get any of the drug. The rats in the second group receive a small dose, and the rats in the third group each get a large dose of the drug. The psychologist records the activity level for each animal. The data from this experiment are presented below. 1. Do these data indicate any significant differences among the three groups? Test with α = .05. 2. Compute η2 , the percentage of variance accounted for by the treatment. No drug Small dose Large dose 0 1 5 1 3 8 3 4 6 0 1 4 1…A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n = 5 in each sample. The rats in the first sample serve as a control and do not get any of the drug. The rats in the second group receive a small dose, and the rats in the third group each get a large dose of the drug. The psychologist records the activity level for each animal. The data from this experiment are presented below. no drug small dose large dose 2201O 22321 Complete the F-ratio table below. Source of Variance SS Between Groups Within Groups Total 53223 df MS F P-value
- A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n = 5 in each sample. The rats in the first sample serve as a control and do not get any of the drug. The rats in the second group receive a small dose, and the rats in the third group each get a large dose of the drug. The psychologist records the activity level for each animal. The data from this experiment are presented below. no drug small dose large dose 0 2 5 2 2 3 2 3 2 0 2 2 1 1 3 Complete the F-ratio table below. Source of Variance SS df MS F P-value Between Groups Within Groups…You survey college bound and find that 85% plan to liv eon campus, 35% plan to have a car while at campus and 5% plan to live off campus and not have a car. Is there an association between living on campus and having a car at college?A teacher designed an experiment to see whether students would do better on a quiz when it was copied onto yellow paper rather than the usual white paper. She gave the same test to her first and fifth period classes, randomly selecting the class that would get the test copied onto yellow paper. The other class got the test copied onto white paper. After grading the test, she found that 25 of the 40 students who took the test on yellow paper passed the test as did 30 of the 38 students who took the test on white paper.