Test for differences among these means, assuming ??B=64.81 and ??T=399.45.
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- You wish to determine the impact expressive writing has on days spent in the hospital for elderly adults. However, it is difficult to estimate the population average of days spent in the hospital. Thus, we recruit 14 elderly adults and randomly assigned half to either write expressively about their most traumatic life event or to write about their plans for that day- both groups write 20-minute essays four days in a row and six months later are asked how many days they have spent in the hospital. Expressive writing condition: 2, 5, 1, 4, 4, 2, 3 Control condition: 8, 8, 5, 2, 7, 5, 7 Which statistical test would you select: Ho: H₁: Enter the data above into and JAMOVI and use the correct statistical procedure to test the null hypothesis - answer the following questions: What is the mean difference between the two samples? What is the standard error of the mean? What is the appropriate 95% CI? [ What is the d-effect size? What is the t-observed? } Based on the p-value (a = .05) should…A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased. In the local area there are three main retailers: W-Mart, Tag, and URToy. For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. Compute the percentage of variance explained by the group differences for these data. Q: Percentage and variance explained = ?Brown wants to conduct an assessment of where employees live and how employees work. Brown wanted to know if where you lived was related to how you worked. What hypothesis tests can be used in this case?
- Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study.Run the single-factor ANOVA for this data: LowModerate HighModerate ModeratelySevere Severe 3 2.7 3.4 4.6 2.1 1.6 3.6 3.5 2.4 2.4 2.8 3.1 1.8 2 3.1 2.5 2.2 2.2 3.4 3.4 0 2.3 4.7 3.1 Fill in the summary table for the ANOVA test: S.S. d.f. M.S. Between Within TOTAL From this table, obtain the necessary statistics for the ANOVA:F-ratio: p-value: η2= What is your final conclusion? Use a significance level of α=0.01. There is a significant…For which reason is it a problem when journalists only report on one study? a. It can lead people to think journalists are scientists. b. It can cause people to interrogate a study’s validities. c. It can lead people to value one study over decades of previous research. d. It can make journalists look bad.Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed: X1 = Length of time an employee was in the industry X2 = Mechanical aptitude test score X3 = Prior on-the-job rating X4 = Age Performance on the new machine is designated y. Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are: Length of Time in Industry, Performance on New Mechanical Aptitude Prior On-the-Job Machine, Score, Performance, Age, Name X1 X2 X3 X4 y 112 Mike Miraglia Sue Trythall 12 312 121 52 113 2 380 123 27 The equation is: ý = 11.6 + 0.4x1 + 0.286x2 + 0.112x3 + 0.002x4 a. What is this…
- You may need to use the appropriate technology to answer this question. The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.† One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for a local newspaper thought that it would be of interest to her readers to conduct a similar study for restaurants located in her city. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $13 $15 $24 14 19 18 16 18 22 17 25 24 17 22 21 19 16 23 16 18 26 32 11 34 Use ? = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. H0: ?Italian = ?Seafood = ?SteakhouseHa:…In this same passage, answer the third question to the problem.Do you think the results of the study might be applicable to the whole population? Why or why not?
- What do the results mean? What type of error could you be making and what would that mean? Redo as a one-tail test, expecting a decrease in the number of headaches. Pay attention to what changes and what doesn’t and why.You may need to use the appropriate technology to answer this question. Periodically, customers of a financial services company are asked to evaluate the company's financlal consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. ConsultantA Consultant B = 16 n2 = 10 x, 6.83 x2 = 6.28 5- 0.68 52 = 0.75 (a) State the null and alternative hypotheses. O Ho: H1- H2 * 0 H: H-H2=0 O Ho: H-H2> o Ho Hy-H250 H -H2>0 O Ho: H-H2=o H: H-H2 0 O Ho: H-H25o H H-H2 0 (b) Compute the value of the test statistic. (Round your answer to three decimal places.) (c) What is the p-value? (Round your answer to four decimal places.) p-value…You conducted additional studies with these men and found the following: The RR for those who drank one drink per day was 1.50 (95% CI:1.32-1.67) in comparison to the abstainers. For those men who drank three or more drinks per day the RR compared to the abstainers was 4.20 (95% CI 2.68-5.85). Which one of Hill’s criteria does this illustrate? Explain.
