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- I want to solve the blanks and also the codes to write them in R studio. See attached pic. Course name: probability and statistics for information technologyWalter 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…We test whether “cramming” for an exam is harmful to grades. Condition 1 crams for a pretend exam, but condition 2 does not. Each group has 31 participants. Below are the data: M1=43, SS1=1920, M2=48, SS2=2508 Please to calculate r2
- Q9D Levi-Strauss Co manufactures clothing. The quality control department measures weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in the following table, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013). Table #11.3.3: Run-ups for Different Plants Making Levi Strauss Clothing Plant 1 Plant 2 Plant 3 Plant 4 Plant 5 1.2 16.4 12.1 11.5 24 10.1 -6 9.7 10.2 -3.7 -2 -11.6 7.4 3.8 8.2 1.5 -1.3 -2.1 8.3 9.2 -3 4 10.1 6.6 -9.3 -0.7 17 4.7 10.2 8 3.2 3.8 4.6 8.8 15.8 2.7 4.3 3.9 2.7 22.3 -3.2 10.4 3.6 5.1 3.1 -1.7 4.2 9.6 11.2 16.8 2.4 8.5 9.8 5.9 11.3 0.3 6.3 6.5 13 12.3 3.5 9 5.7 6.8 16.9…Q9C Levi-Strauss Co manufactures clothing. The quality control department measures weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in the following table, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013). Table #11.3.3: Run-ups for Different Plants Making Levi Strauss Clothing Plant 1 Plant 2 Plant 3 Plant 4 Plant 5 1.2 16.4 12.1 11.5 24 10.1 -6 9.7 10.2 -3.7 -2 -11.6 7.4 3.8 8.2 1.5 -1.3 -2.1 8.3 9.2 -3 4 10.1 6.6 -9.3 -0.7 17 4.7 10.2 8 3.2 3.8 4.6 8.8 15.8 2.7 4.3 3.9 2.7 22.3 -3.2 10.4 3.6 5.1 3.1 -1.7 4.2 9.6 11.2 16.8 2.4 8.5 9.8 5.9 11.3 0.3 6.3 6.5 13 12.3 3.5 9 5.7 6.8 16.9…PS. Please show complete solution and make sure that your answer is the same at the bottom part. thank u!
- A researcher is comparing the effectiveness of two sets of instructions for assembling a child’s bike. A sample of eight fathers is obtained. Half of the fathers are given one set of instructions and the other half receives the second set. The researcher measures how much time is needed for each father to assemble the bike. The scores are the number of minutes needed by each participant. Instruction Set I Instruction Set II 8 14 4 10 8 6 4 10 Is there a significant difference in time for the two sets of instructions? Use a two-tailed test at the .05 level of significance. What is the computed value? What would be the null hypothesis in this study? What would be the alternate hypothesis? What probability level did you choose and why? What is your p-value? Is there a significant difference between the two groups? Interpret your answer. If you have made an error, would it be a Type I or a Type II error? Explain your answer.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 researcher records the activity level for each animal. Do these data indicate any significant differences among the three groups? Show all five steps, but you do not need to carry out post hoc analyses. Use alpha = .05. %3D Controls Small dose Large dose 2 15 2 12 3 2 3 2 2 12 1 1 3 SS = 4 SS = 2 SS = 6 EX2 = 9 EX2 = 22 EX2 = 51 G = 30A 2009 study shpwed that handling money reduces the perception of pain. Two groups of participants were asked to participate in a manual dexterity study. Half of the participants were given a stack of blank pieces of paper to count and the other half were given money to count. After the counting task, the participants were asked to dip their hands in 122 degree Farenheit water and rate how uncomfortable it was . The following data shows ratings of pain similar to the results obtained in the study. Counting Money Counting Paper 7 9 8 11 10 13 6 10 8 11 5 9 7 15 12 14 5 10 A. based on the sample data, does the treatment, does the treatment have a significant effect? Test with a=.01. ( make sure you have ALL the steps involved in a hypothesis test). B. Calculate Cohens d to estimate the effect size. C. What a sentence describing the outcome of the hypothesis test and the measure of effect size as it would appear on a research report.
- Can a person train to become better at holding their breath? An experiment was designed to find out. Twelve volunteers were randomly assigned to 1 of 2 groups. The 6 volunteers assigned to group 1 were given breath-holding exercises to perform for 2 weeks. The other group was not given any information about the experiment. At the end of the 2 weeks, all 12 volunteers were individually tested to determine how long they could hold their breath. Here are the data (in seconds). Group 1: 90, 88, 70, 110, 75, 105 Group 2: 40, 48, 35, 50, 55, 62 The researcher would like to determine if these data provide convincing evidence that the true mean amount of time volunteers who were given training held their breath is greater than volunteers without training. Let ₁ = the true mean amount of time that volunteers who were given training held their breath and ₂ = the true mean amount of time that volunteers without training held their breath. What are the appropriate hypotheses? Ho: U1 - U2 = 0, Ha:…A recent study indicates that simply giving college students a pedometer can result in increased walking (Jackson & Howton, 2008). Students were given pedometers for a 12-week period, and asked to record the average number of steps per day during weeks 1, 6, and 12. The following data are similar to the results obtained in the study. Number of Steps (x1000) Week Participant I II III P A 6 8 10 24 B 4 5 6 15 C 5 5 5 15 G = 72 D 1 2 3 6 ΣX2 = 400 E 0 1 2 3 F 2 3 4 9 T = 18 T = 24 M = 30 SS = 28 SS = 32 SS = 40 Use a repeated-measures ANOVA with α = .05 to determine whether the mean number of steps changes significantly from one week to another. Compute η2 to measure the size of the treatment effect. Write a sentence demonstrating how a research report would present the results of the hypothesis test…Santa was interested in increasing toy productivity. He randomly assigned elves into 2 separate groups. In one group elves were given some special "go juice" (i.e., maple syrup) and in the other group they had candy cane flavored water. After a week, Santa measured toy productivity across the 2 groups. What test would Santa use to see if drink type (go juice vs, candy cane water) resulted in differences in toy productivity?