An experiment to compare the spreading rates of five different brands of yellow interior latex paint available in a particular area used 4 gallons (J = 4) of each paint. The sample average spreading rates (ft?/gal) for the five brands were x, = 462.0,x, = 512.8, x = 427.5, x = 469.3, and x, = 532.1. The computed value of F was found to be significant at level a = 0.05. With MSE = 370.8, use Tukey's procedure to investigate significant differences betvween brands. (Round your answer to twodecimal places.)Which means differ significantly from one another? (Select all that apply.)Ox and x2Ox, and x,Ox and x4.Ox and xs.O, and x.O, and x,O, and xs.O3, and x.OX, and xs.OX, and xs.O There are no significant differences.

Given data An experiment to compare the spreading rates of five different brands of yellow interior…

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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An experiment to compare the spreading rates of five different brands of yellow interior latex paint available in a particular area used 4 gallons (J = 4) of each paint. The sample average spreading rates (ft2/gal) for the five brands were x1. = 462.0, x2. = 512.8, x3. = 427.5, x4. = 469.3, and x5. = 532.1. The computed value of F was found to be significant at level ? = 0.05. With MSE = 300.8, use Tukey's procedure to investigate significant differences between brands. (Round your answer to two decimal places.)
A study was done to compare the flu incidence rates at the sart and at the end of winter of a given year. A sample of 100 persons were asked for incidence of flu twice: once at the start and once at the end of winter. Sample data were as follows: a. Give 99% CI for the difference in flu incidence rates at the start and at the end of winter? b. Compute a measure of association between flue incidence at the start and at the end of winter?
Two quality control technicians measured the surface finish of a metal part, obtaining the data in the table below. Assume that the measurements are normally distributed.
Calculate the average values of the Cp and Cpk capabil-ity indices for the BOD data , assuming that LSL=5 mg/L and USL=35 mg/L. Do these val-ues of the indices indicate that the process performance is satisfactory?
The incidence of a certain type of chromosome defect inthe U.S. adult male population is believed to be 1 in 75.A random sample of 800 individuals in U.S. penal institutionsreveals 16 who have such defects. Can it be concludedthat the incidence rate of this defect among prisonersdiffers from the presumed rate for the entire adultmale population?
A manufacturer has designed a process to produce pipes that are 10 feet long. The distribution of the pipe length, however, is actually Uniform on the interval 10 feet to 10.57 feet. Assume that the lengths of individual pipes produced by the process are independent. Let X and Y represent the lengths of two different pipes produced by the process.e) What is the expected total length of the two pieces of pipe? Give your answer to three decimal places.f) What is the variance of the length of a single pipe? Give your answer to four decimal places.g) What is the variance of the total length of both pipes? Give your answer to four decimal places.
A quality control officer compares the average lifetime of four different brandsof hand phones. For each of the brand, 5 hand phone was used to calculate theaverage lifetime in minutes. The results are given as follow V =756.55 W=3 X=16 Y=5.4 Z= 46.7006 i)Assuming the populations are normally distributed, determine whichaverage lifetime of the hand phones is significantly different at ? =0.05?
An experiment to determine the effect of four different types of engine oil (A, B, C, and D) on the rolling friction coefficient of a car speed has been conducted. Three brands of car (Honda, Toyota, and Mazda) were chosen, and each engine oil was tested twice on each car, producing the following ANOVA output in Figure 2. i) How many treatments involved? Write down all the treatments ii) Identify the number of replication for each treatment. iii) Based on the ANOVA table above, find the values of W, X, Y and Z. iv) Test the interaction effect on rolling friction coefficient of car speed between the four different types of engine oil and the three different brands of car. v) Do we need to test for marginal effect? Give a reason.
A snack food manufacturer estimates that the variance of the number of grams of carbohydrates in servings of its tortilla chips is 1.23. A dietician is asked to test this claim and finds that a random sample of 24 servings has a variance of 1.27. At α=0.10, is there enough evidence to reject the manufacturer's claim? Assume the population is normally distributed. (b) Find the critical value(s). I do not know how to calculate the critical value with my calculator. I have a TI83+.
A random sample of 18 size AA batteries for toys yield a mean of 2.6 hours with standard deviation, 1.42 hours. (a) Find the critical value, t*, for a 99% CI. t* = (b) Find the margin of error for a 99% CI. =
Consider the continuous random variable X = the weight in pounds of a randomly selected newborn baby born in the United States last year. Suppose that X can be modeled with a normal distribution with mean μ = 7.57 and standard deviation σ= 1.26. If the standard deviation were σ = 1.06 instead, how would that change the graph of the pdf of X?
An article reports that men over 6' tall earn more than man under 6' tall with these numbers average 6' plus male salary 55000 average mail salary under 6' tall at 47000 with the P value of 4 0.45 based on that reported P value and using the common definition of statistical significant what is the case

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