2. An article in the Journal of Quality Technology (Vol. 13, No. 2, 1981, pp. 111-114) describesand experiment that investigates the effects of four bleaching chemicals on pulp brightness.These four chemicals were selected at random from a large population of potential bleachingagents. The data are as follows:Chemical1234Pulp Brightness74.466 92.746 76.20879.306 81.914 80.34677.19982.87680.52273.38579.417 78.017 91.596 80.80280.62678.001 78.358 77.544 77.364 77.386(a) Is there a significant variance component due to chemical types?(b) Estimate the variability due to chemical types.(c) Estimate the random error component.

Answered: Image /qna-images/answer/8da0d919-1160-4dc6-84f5-b45f227d12e5.jpg

Answered: 2. An article in the Journal of Quality…

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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Question 4 10.34b: Provide the p-value of the test, and your reasoning Hint: L-20: p 6-8 (Exercise 10.35) p-value0.05=Fail to reject HO: There is insufficient evidence of a difference between the education distribution of jurors and the county wide education distribution p-value=0.237>0.05%3Fail to reject HO: There is significant evidence that the education 3 distribution of jurors and the county wide education distribution are similar p-value<0.0001<0.05=Reject H0: There is significant evidence that the education 4 distribution of jurors and the county wide education distribution are similar
Job Gains and Losses. In the article “Business Employment Dynamics: New Data on Gross Job Gains and Losses” (Monthly Labor Review, Vol. 127, Issue 4, pp. 29–42), J. Spletzer et al. examined gross job gains and losses as a percentage of the average of previous and current employment figures. A simple random sample of 20 quarters provided the net percentage gains (losses are negative gains) for jobs as presented on the WeissStats site. Use the technology of your choice to do the following. a. Decide whether, on average, the net percentage gain for jobs exceeds 0.2. Assume a population standard deviation of 0.42. Apply the one-mean z-test with a 5% significance level. b. Obtain a normal probability plot, boxplot, histogram, and stemand-leaf diagram of the data. c. Remove the outliers (if any) from the data and then repeat part (a). d. Comment on the advisability of using the z-test here.
2. An experiment was conducted to determine whether four firing temperatures affect the density of brick. The experiment led to the following information Temperature 100 125 150 175 200 Total Grand Mean No. of Bricks (Reps) 3 4 4 3 4 18 Total Density 65.4 86.0 87.1 65.2 86.1 389.8 Mean Density 21.80 21.50 21.78 21.73 21.52 108.33 21.67 density=8441.82 a. At a=0.05, test whether the mean density of five firing temperatures are significantly different.
The following table shows the annual income, in dollars, and amount spent on vacation, in dollars, for a sample of 8 families. Income 41,100 53,000 27,400 34,400 65,800 98,100 72,000 56,700 Vacation 2,700 2,400 1,700 2,500 2,800 5,100 4,200 3,200 (a) Create a scatterplot of the data in the table. (b) Describe the association shown in the scatterplot created in part (a). (c) Calculate the coefficient of determination for the data, and interpret the value in context.
(c) Suppose that after looking at the data the researcher decided to test the research questions listed below. Conduct the appropriate tests to answer these questions. Report and fully interpret the results of each test conducted. On average: (iv) Do Asian students score significantly higher/lower than White students in Reading? race: 1 - hispanic, 2 - asian, 3 - black, 4 - white race RDG 1 34 1 47 1 42 1 39 1 36 1 50 1 63 1 44 1 47 1 44 1 50 1 44 1 47 1 42 1 42 1 47 1 60 1 39 1 57 1 73 1 47 1 39 1 35 1 39 1 48 1 31 1 52 1 47 1 36 1 47 1 34 1 52 1 42 1 37 1 44 1 71 1 47 1 42 1 42 1 47 1 52 1 52 1 39 1 31 1 60 1 47 1 39 1 42 1 47 1 42 1 36 1 50 1 34 1 55 1 28 1 42 1 44 1 60 1 39 1 36 1 44 1 39 1 39 1 42 1 42 2 52 2 65 2 42 2 47 2 52 2 44 2 52 2 47 2 65 2 63 2 60 2 47 2 65 2 53 2 68 2 55 2 39 2 52 2 65 2 52 2 57…
In the article “The Eastern Cottonmouth (Agkistrodon piscivorus) at the Northern Edge of Its Range” (Journal of Herpetology, Vol. 29, No. 3, pp. 391–398), Blem and Blem examined the reproductive characteristics of the eastern cottonmouth, a once widely distributed snake whose numbers have decreased recently due to encroachment by humans. A simple random sample of 44 female cottonmouths yielded a sample mean of ??̅ = 7.6 young per litter. Assume σ = 2.4. a. Is the sample mean likely to equal μ exactly? Explain your answer b. Find the 95% Confidence Interval. c. How large a sample would be needed to get at 99% confidence interval with a margin of error of just 0.1?
An official of a large car manufacturing company wanted to study the relationship between an employee's age and the number of absences. For this, a random sample of 10 randomly selected employees was collected and the following data was obtained. The material: age 40 28 34 27 21 38 19 55 31 35 number of absences 1 6 6 9 12 4 13 2 5 3 (a) Predict the number of absenteeism for a 42-year-old employee.(b) Determine the 95% prediction interval for the number of absences for the employee in (a).
The paper "An analysis of Job Sharing, Full-Time, and Part-Time Arrangements" (Amer. Business Review (1989): 34-40) reported on a study of hospital employment from three different groups. Each employee reported a level of satisfaction with his or her work schedule (1=very dissatisfied to 7 =very satisfied), as shown in the accompanying table. Group 1. Job sharers 2. Full-time employees 3. Part-time employees Sample Size Sample mean 24 24 20 6.60 5.37 5.20 (a). What model will you use for modelling this data set? Write down the corresponding model equation. What are numerator and denominator df's for the F test? (b). The test statistic value is F = 6.62. Use a test with significance level .05 to decide whether is plausible that true average satisfaction levels are identical for the three groups.
In a large clinical trial, 399,884 children were randomly assigned to two groups. The treatment group consisted of 201,068 children given a vaccine for a certain disease, and 26 of those children developed the disease. The other 198,816 children were given a placebo, and 91 of those children developed the disease. Consider the vaccine treatment group to be the first sample. Complete parts (a) through (d) below. a. Assume that a 0.10 significance level will be used to test the claim that p₁
(a) Consider the following data that was extracted from a journal 10.2 0.5 5.2 6.1 3.1 6.7 8.9 7.2 8.9 5.4 3.6 9.2 6.1 7.3 2.0 1.3 6.4 8.0 4.3 4.7 12.4 8.6 13.1 3.2 9.5 7.6 4.0 5.1 8.1 1.1 11.5 3.1 6.8 7.0 8.2 2.0 3.1 6.5 11.2 12.0 5.1 10.9 11.2 8.5 2.3 3.4 5.2 10.7 4.9 6.2 11.1 1.6 4.9 6.3 9.1 Generate a frequency polygon for the above data using manual approach
a) Three samples of five mice were randomly selected to be placed in a standard maze but with different door colours (red, green, black). The time (in seconds) required to complete the maze was recorded as in Table 1. Table 1: Time to Complete the Maze Color Time Red 9. 11 10 9 15 Green 20 21 23 17 Black 8 14 7 (i) Identify the dependent and independent variables. (ii) How many treatments involved in this study? (iii) How many replications for each treatment?
In a combined study of northern pike, cutthroat trout, rainbow trout, and lake trout, it was found that 40 out of 866 fish died when caught and released using barbless hooks on flies or lures. All hooks were removed from the fish. (a) Let p represent the proportion of all pike and trout that die (i.e., p is the mortality rate) when caught and released using barbless hooks. Find a point estimate for p. (Round your answer to four decimal places.)(b) Find a 99% confidence interval for p. (Round your answers to three decimal places.) lower limit upper limit Give a brief explanation of the meaning of the interval. We are 99% confident that the true catch-and-release mortality rate falls outside this interval.We are 1% confident that the true catch-and-release mortality rate falls above this interval. We are 99% confident that the true catch-and-release mortality rate falls within this interval.We are 1% confident that the true catch-and-release mortality rate falls…

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