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- A study investigates the effects of a Method's course and sex of student on willingness to believe in ESP ten years after college. This study has: two independent variables two dependent variables O two cells in its design two possible interactions to evaluateThe owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. 5 6 7 Day Store 1 Store 2 1 Difference (Store 1 - Store 2) Send data to calculator ✓ 2 3 786 878 827 645 708 500 699 140 Yes No 4 646 802 712 579 527 367 76 115 66 181 133 8 (a) State the null hypothesis H and the alternative hypothesis H₁. H:D H₁:0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) ▼ 970 9 10 11 12 618 679 762 635 271 572 324 215 698 530 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis…A psychologist wants to test the influence of color on object recognition in 4-year olds. She recruits 25 children and shows them two sets of pictures of everyday objects (variable = picture type), has the children name them, and measures the time it takes (variable = reaction time). She shows the children a color set of pictures first and then shows them a black and white set of pictures. a) What is the independent variable? b) What is the dependent variable? c) What is the second independent variable? d) What is the second dependent variable? e) Is "picture type" a within-subjects or between-subjects variable? f) What scale of measurement is reaction time? g) What scale of measurement is picture type? h) The order of presentation of the picture sets is what kind of variable?
- I NEED THE ANSWER TO THE "NUMBER OF DUMMY VARIABLES" A manager of a local package delivery store believes that too many of the packages were damaged or lost. She extracts a sample of 75 packages with the following variables: the package number (Package), the status of the package (Status: Delivered, Damaged, or Lost), the delivery type (Delivery: Standard, Express, or Same day), and the size of the package (Size: S, M, L, and XL). A portion of the data is shown in the accompanying table. Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L ⋮ ⋮ ⋮ ⋮ 75 Damaged Same day M a)Transform the Delivery variable into dummy variables. Use the most frequent category as the reference category. How many dummy variables should be created? Which category of Delivery is the reference category? Number of dummy variables: ???? Reference Category: Standard Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L 3 Lost Standard S 4 Delivered…(Devore: Section 3.2 #15) Many manufacturers have quality control programs that include inspec- tion of incoming materials for defects. Suppose a computer manufacturer receives circuit boards in batches of five. Two boards are selected from each batch of inspection. We can represent possible outcomes of the selection process by pairs. For example, the pair (1,2) represents the selection of boards 1 and 2 for inspection. (a) List the ten different possible outcomes. (b) Suppose that boards 1 and 2 are the only defective boards in a batch. Two boards are to be chosen at random. Define X to be the number of defective boards observed among those inspected. Find the probability distribution (pmf) of X. (c) Let F denote the cdf of X. Determine F(0), F(1) and F(2); then obtain F(x) for all other x.the comic book store owner is curious in how well radio and newspaper advertisements work. A sample of 22 counties with almost equal populations was gathered during the month. For each of the counties, the owner has set aside a particular sum for radio and newspaper advertising. Additionally, the owner was able to access comic book sales information for the stores he controlled in each county and classified it as Low or High. COUNTY (X1) Comic book Sales (X2) (0 = Low, 1 = High) Radio Ads (X3) (in thousands) Newspaper Ads (X4) (in thousands) 1 1 0 40 2 0 0 40 3 0 25 25 4 0 25 25 5 0 30 30 6 0 30 30 7 0 35 35 8 0 35 35 9 0 40 25 10 0 40 25 11 1 45 45 12 1 45 45 13 1 50 0 14 1 50 0 15 1 55 25 16 1 55 25 17 1 60 30 18 1 60 30 19 1 65 35 20 1 65 35 21 1 70 40 22 1…
- Hi, could you help me with this question? Thank you!likely to get 19. Shreya conducted a study to see if name-brand flashlight batteries last longer than gencric batteries, on avcrage. For each of 20 flashlights, she flipped a coin. If it was heads shc uscd namc-brand batteries and if it was tails she used the generic brand. She left the flashlights on and recorded how long it took for the batterics to wear out. The results showed that the flashlights that had the name-brand batteries, on average, lasted significantly longer than the flashlights that used the generic brand. What type of design is this study? a. This study is an example of a simple random sample. b. This study is an example of a matched pairs experiment. This study is an example of a completely randomized experiment. This study is an example of an obscrvational study. c. d.In a computer game, different units are created randomly with different levels of range and Aggression according to the table below. Range is how far the unit can attack without moving, and Aggression is used to determine how far a unit will move to attack without direct command. Range Total 1 2 4 5 0.2 0.15 0 0.35 Aggression 3 0.1 0.15 0.1 0.35 0 0 0.05 0.25 0.3 Total 0.3 0.35 0.35 1 Calculate the Expected value of aggression for the units created. (E(Aggression))
- Answer the following question. In a recent competition, each of three teams played each other team once. The results are given in the table below. What was the score of the A vs. C game? Give A's goals first. Team A B C Wins 1 1 0 Losses Ties 0 1 0 1 2 0 Goals For Goals Against 6 3 2 4 2 5 (Remember: Your solution must show appropriate work or reasoning.)The following graph is an interaction plot between factors A and B in a 2* factorial experiment. B+ 60 50 B- 40 B+ 30 20 10 B- Factor A There is a weak interaction between factors A and B Select one: O True O False ResponseA researcher randomly selected 158 personal vehicles and noted the type of vehicle and its color. The two-way table displays the data. A 5-column table with 4 rows. Column 1 has entries sedan, S U V, convertible, total. Column 2 is labeled Red with entries 14, 9, 20, 43. Column 3 is labeled Blue/Green with entries 31, 19, 6, 56. Column 4 is labeled Black/Gray with entries 22, 34, 3, 59. Column 5 is labeled Total with entries 67, 62, 29, 158. The columns are titled Vehicle color and the rows are titled vehicle type. Suppose a vehicle is randomly selected. Let event C = convertible and R = red. What is the value of P(R|C)? StartFraction 29 Over 158 EndFraction StartFraction 43 Over 158 EndFraction StartFraction 20 Over 43 EndFraction StartFraction 20 Over 29 EndFraction
