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- Which of the independent variables retains the strongest association with the number of children a respondent has when all other variables in the model are controlled?Burger Dome sells hamburgers, cheeseburgers, French fries, soft drinks, and milk shakes, as well as a limited number of specialty items and dessert selections. Although Burger Dome would like to serve each customer immediately, at times more customers arrive than can be handled by the Burger Dome food service staff. Thus, customers wait in line to place and receive their orders. Suppose that Burger Dome analyzed data on customer arrivals and concluded that the arrival rate is 45 customers per hour and 1 customer processed per minute. Compare a multiple-server waiting line system with a shared queue to a multiple-server waiting line system with a dedicated queue for each server. Suppose Burger Dome establishes two servers but arranges the restaurant layout so that an arriving customer must decide which server's queue to join. Assume that this system equally splits the customer arrivals so that each server sees half of the customers. How does this system compare with the two-server…An aircraft company wanted to predict the number of worker-hours necessary to finish the design of a new plane. Relevant explanatory variables were thought to be the plane’s top speed, its weight, and the number of parts it had in common with other models built by the company. A sample of 27 of the company’s planes was taken, and the following model was estimated:y = β0 + β1x1 + β2x2 + β3x3 + εwherey = design effort, in millions of worker-hoursx1 = plane’s top speed, in miles per hourx2 = plane’s weight, in tonsx3 = percentage number of parts in common with other modelsThe estimated regression coefficients were as follows:b1 = 0.661 b2 = 0.065 b3 = -0.018and the estimated intercept was 2.0.Predict design effort for a plane with a top speed of Mach 1.0, weighing 7 tons, and having 50% of itsparts in common with other models.
- What is the dependent variable for a toothpaste manufacturer claims that children brushing their teeth daily with his company’s product (Brand A) will have fewer cavities than children using Brand X. In a carefully supervised study, the number of cavities in a sample of children using brand A toothpaste was compared with the number of cavities among children using Brand X.Could you please teel me why should a firm, for profit, care not only about the expected profit, but also about the variance of the profit.thanksThe researchers reported:" A 2x2 ANOVA revealed, first of all, a main effect for depletion, indicating that depleted individuals generated less ideas (M = 9.40, SD = 5.64) than non-depleted individuals (M = 12.44, SD = 7.34), F (1, 108) = 6.03, p = .016, n2 = .05. This effect was qualified by the expected interaction with [perseverance], F (1,108) = 4.52, p = .036, n2 = .05". What size are the effects for the main effect of depletion and for the interaction between depletion and perseverance, according to Cohen's conventions? a. These are small- to -medium effects b. These are non existent effects c. These are large effects d. We are unable to tell from from the n2 / r2 statistics
- Occupational prestige scores for a sample of fathers and their oldest son and oldest daughter are presented in the following tables. Analyze the relationship between father’s and son’s prestige, and the relationship between father’s and daughter’s prestige. Compute r and r Describe the strength and the direction of the relationship in a sentence or two. Does Occupational prestige of the father have an impact on his children. Does it have the same impact for his daughters as it does for sons?(Please ensure that you utilize the five-step model and show all your work when addressing the question) Family Father’s Prestige Son’s Prestige Daughter’s Prestige A 80 85 82 B 78 80 77 C 75 70 68 D 70 75 77 E 69 72 60 F 66 60 52 G 64 48 48 H 52 55 57A research was conducted which revealed that the students’ usage of mobile phones has nowadays increased after the pandemic due to online classes and submission of their assignments and quizzes. Already the usage of mobile phones for the students was growing due to social media and different online games. The data of 25 students is provided to you in Table 2.1 that displays hours (time) spend by the children on mobile phones per week. Table 2.1 67 64 59 66 59 68 64 61 65 67 67 67 63 59 65 69 62 70 70 60 59 65 66 69 67 You are required to Compute the Frequency Distribution, Cumulative Frequency and Cumulative Relative Frequency. Sketch Histogram in Excel. Define the skewness of the drawn Histogram.When evaluating the effectiveness of a newly invented psychological treatment to people having illusions, a psychologist plans to adopt an AB design. Give this psychologist two design recommendations for the evaluation study . Describe what additional design needed to be added to obtain data in evaluating any potential long term effect of the treatment
- A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model. Variable Coding = 1 if Intercept Sex () Female Race () Black Grade level ( 9th grade 10th grade 11th grade [Reference = 12th grade] Attached is the logistic model 1. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 9th grade, adjusting for gender. 2. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 12th grade, adjusting for gender. 3. Compute the OR of drinking before driving for someone in the 9th grade versus 12th grade for a student who…A mail-order catalog firm would like to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different size advertisements were considered. The data obtained follow. At the 0.05 level of significance, a. Is there an interaction between type of design and size of advertisement? b. Is there an effect due to type of design? c. Is there an effect due to size of advertisement?A psychologist conducts a 2 x 3 x 2 ANOVA. How many main effects are possible? How many interactions are possible?
