3.20 A manufacturer of television sets is interested in the effect on tube con-ductivity of four different types of coating for color picture tubes. A completelyrandomized experiment is conducted and the following conductivity data areobtained:Coating TypeConductivity1143141150146215214913714331341361321274129127132129(a) Is there a difference in conductivity due to coating type? Use a = 0.05.(b) Estimate the overall mean and the treatment effects.(c) Compute a 95 percent confidence interval estimate of the mean of coatingtype 4. Compute a 99 percent confidence interval estimate of the mean differencebetween coating types 1 and 4 .(d) Test all pairs of means using the Fisher LSD method with a = 0.05.

Answered: (a) Is there a difference in…

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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#2 A Rollercoaster’s auditors estimate that the average daily loss from those illegally riding without tickets is at least $300, but wants to determine the accuracy of this statistic. The company researcher takes a random sample of losses over 64 days and finds that = $298 and s = $25. a) Test at α = 0.05. Be sure you cover all steps: hypothesis, critical value, acceptance range, conclusion. b) (Unrelated to a’s results) Construct a 95% confidence interval of losses.
Find the critical value tc for the confidence level c=0.90 and sample size n=27. Use the t-distribution table
Solve the ANOVA table. Based on critical vale, would you reject or fail to reject?
For this study, we should use The null and alternative hypotheses would be: z-test for a population proportion or t-test for a population mean Ho: (p or u) (please enter a decimal) H1: (p or u) (Please enter a decimal) The test statistic z = (please show your answer to 3 decimal places.) The critical value = (Please show your answer to 3 decimal places.) The test statistic (is or is not) in the rejection region. Based on this, we should (reject or accept or fail to accept) the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly larger 50% at � = 0.05, so there is not sufficient evidence to conclude that the proportion of voters who prefer the Democratic candidate is larger 50%. The data suggest the populaton proportion is significantly larger 50% at � = 0.05, so there is sufficient evidence to conclude that the proportion of voters who prefer the Democratic candidate is…
A research team conducted a study of VARIABILITY in students' test performance. Researchers assume that individual records are normally distributed with unknown mean and variance. They collected a sample of n = 25 test scores with summaries shown below. Sample Mean = X = 75.2 and Sample SD = S = 15 Estimate the POPULATION VARIANCE with confidence C = 0.99 • Show critical values needed • Evaluate the upper and lower confidence limits. UCL = LCL = Solution
A process sampled 20 times with a sample of size 8 resulted in = 29.5 and R = 1.4. Compute the upper and lower control limits for the x chart for this process. (Round your answers to two decimal places.) UCL = LCL = Compute the upper and lower control limits for the R chart for this process. (Round your answers to two decimal places.) UCL = LCL =
A process sampled 20 times with a sample of size 8 resulted in = 26.5 and R = 1.8. Compute the upper and lower control limits for the x chart for this process. (Round your answers to two decimal places.) UCL= LCL= Compute the upper and lower control limits for the R chart for this process. (Round your answers to two decimal places.) UCL= LCL=
The test statistic of z = -3.32 is obtained when testing the claim that p < 0.19. Using the significance level a= 0.10 find the critical value’s
A previous study showed to determine whether a sales tax on soda will reduce consumption of soda in the US below the current per-capita level of about 50 gallons of soda per year. Hypotheses Test is Ho: m(mue) =50 vs. Ha: m<50 where m (mue) represents the average annual consumption of soda in communities where the sales tax is implemented. (b) Now supposed sample results give a p-value of 0.41. Interpret this p-value in terms of random chance and in the context of taxes and soda consumption.
The compressive strength of an alloy fastener used in aircraft construction is being studied. Ten loads were selected over the range 2500–4300 psi, and a number of fasteners were tested at those loads. The numbers of fasteners failing at each load were recorded. The complete test data are shown in Table E11-14.
– Applied Statistical Methods

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