A small transportation company with only five buses wants to evaluate four typesof tires with respect to wear. Each of the buses runs a different route so that theterrain and driving conditions differ from bus to bus. To control the effect of thevariable, a randomized block design is appropriate. Each bus constitutes ablock, and each tire type constitutes a treatment. One tire of each type isplaced on each bus, with the wheel positions being assigned randomly. The tiresare run for 24,000 kilometers, after which, the tread wear is measured. The dataobtained are given below:Tread Wear (millimeters) of tires for the different busesTreatment (Tire Type)123Blocks (Buses)113.328.416.120.3920.711.91719.120.811.817.11121.51418.112.8251620Are there significant differences in the average tread wear for the four types oftire? Use a .05 level of significance.2345

Answered: Image /qna-images/answer/8c8cfdcc-9b5d-48da-b704-af6e0fe44c39.jpg

Answered: A small transportation company with…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Virginia polled a large sample of individuals to find the percentage of students with known food allergies and the percentage of students without known food allergies. Which of the following could sufficiently display the data if only the two given categories are to be included? Select the correct answer below: bar graph pie chart either a pie chart or a bar graph neither a pie chart nor a bar graph
Fast-food restaurants may be able to decrease yearly expenses simply by decreasing the size of the paper napkins they provide to patrons. Papel Paper Products is considering pitching the smaller-napkin idea to potential restaurant clients. To determine the receptiveness of different restaurants to the idea, Papel surveyed 400 fast-food establishments chosen at random, and looked at the data according to two variables: type of fast-food restaurant ("burger/sandwich", "Chinese/Mexican", or "other") and attitude toward the smaller-napkin idea ("receptive" or "not receptive.") The data are summarized in the contingency table below. Each of the 6 cells of the table contains three numbers: the first number is the observed cell frequency (f); the second number is the expected cell frequency (f) under the assumption that the two variables type of fast-food restaurant and attitude toward the smaller-napkin idea are not associated; and the third number is the following value. (fo-ƒE)² JE…
This obstetrician also wanted to determine the impact that three experimental diets had on the birth weights of pregnant mothers. She was also interested if age had an impact on birth weights. She randomly selected 27 pregnant mothers in the first trimester of whom 9 were 20 to 29 years old, 9 were 30 to 39 years old, and 9 were 40 or older. For each age group, she randomly assigned the mothers to one of three diets. After delivery, she measured the birth weight (in grams) of the babies and obtained the data a) What is the blocking variable?
Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of visitor traffic on the relative humidity in bat caves. Identify the explanatory and the response variables. The number of visitors and the relative humidity are the response variables. The number of visitors is the response variable, and the relative humidity is the explanatory variable. The number of visitors and the relative humidity are the explanatory variables. The number of visitors is the explanatory variable, and the relative humidity is the response variable.
1) A consumer research company wants to estimate the average cost of an airline ticket for a round trip from New York to Los Angeles. A random sample of 50 airfares had an average price of $438. Identify the variable. (a) Simple random sample (c) Consumer research company (b) Airline fare (d) City e) $438
A college student is interested in whether presoaking time has an effect on cleanliness of clothing. He collects the dirty clothes from all of the people in his dorm and randomly assigns clothing to one of four presoak time conditions: 5 minutes, 10 minutes, 15 minutes, 20 minutes. He then asks members of another dorm to rate the cleanliness of the items (they don’t know which clothing got which soaking time). The data are presented below. C) Perform an LSD test and answer the questions that follow (SHOW ALL WORK!!! This can be on the same page as your other ANOVA hand work. Make sure it is inserted and/or uploaded): df error = tcrit (df error) MS error = s = LSD = _____________ Mean Comparisons: Mean5 min vs. Mean10 min = | ___ __ | = ___ ___ Greater than (>) LSD value? __ ___ Significant?__ ___ Mean10 min vs. Mean15 min = |__________________| = ______ Greater…
A healthcare provider monitors the number of CAT scans perfomed each month in each of its clinics. The most recent year of data for a particular clinics follows (the reported variable is the number of CAT scans each month expressed as the number of CAT scans per thousand members of the health plan): 2.31, 2.09, 2.36, 1.95, 1.98, 2.25, 2.16, 2.07, 1.88, 1.94, 1.97, 2.02. Find a two-sided 95% confidence interval for the standard deviation. What should you do to address any reservations about this confidence interval? Round your answers to two decimal places (e.g. 98.76).
Dataset: NES. Variables: spend8, nesw.) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the Analyze ▶ Compare Means ▶ One-Sample T Test procedure. You then will draw inferences about the population mean. Make sure you weight observations using the nesw variable so your results are nationally representative. A. The spend8 variable has a sample mean of ______.
You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC
Swifty produces 5-foot USB cables. During the past year, the company purchased 215,000 feet of plastic-coated wire at a price of $0.40 per foot. The direct materials standard for the cables allows 6 feet of wire at a standard price of $0.45 per foot. During the year, the company used a total of 245,000 feet of wire to produce 42,000 5-foot cables.Calculate Swifty’s direct materials quantity variance for the year. Direct material quantity variance $ Is this favorable or not?

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