(b) At the α = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3.Find the value of LSD. (Round your answer to two decimal places.)LSD =Find the pairwise absolute difference between sample means for manufacturers 1 and 3.X₁ X3=What conclusion can you draw after carrying out this test?There is a significant difference between the means for manufacturer 1 and manufacturer 3.There is not a significant difference between the means for manufacturer 1 and manufacturer 3. Manufacturer12026232329 1925 2032 2323 30 18(a) Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use α = 0.05.State the null and alternative hypotheses.# #M3Ho: M₁ M₂На: M1 = M2 = M3Ho: Not all the population means are equal.На: M1 = M2 = M3Ho: M₁ = M₂ = μ3На: M1 # M2 # M3Ho: At least two of the population means are equal.H₂: At least two of the population means are different.но: М1 = M2 = M3На:: Not all the population means are equal.Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.)p-value =

Answered: Manufacturer 1 20 23 2 23 3 26 25 20 32…

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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Assume that the height of male students in a large university is normally distributed with mean 172.7 cm and variance 57.76 cm². (a) Suppose 80 random samples, each with 25 male students are obtained. In how many samples would you expect the sample mean to be between 169.66 cm and 173.46 cm? Give you answer to one decimal place. Answer: number of samples = (b) Suppose 6 random samples, each with 25 male students are obtained. Compute the probability that exactly 4 of the 6 samples will have its sample mean between 169.66 cm and 173.46 cm. Give your answer to two decimal places. Answer: probability=
6
1. One difference between ANOVA and regression is: a) ANOVA is for statistical inference, whereas regression is not b) a regression line accounts for variability, whereas variability is not a concept in ANOVA c) in regression, we estimate a slope, whereas in ANOVA, we estimate mean differences d) ANOVA bases its inferences on samples, whereas regression bases its inferences on populations e) ANOVA and regression are not different at all, they are exactly the same f) ANOVA features p-values, whereas regression does not
46. For each scenario listed on the left, determine whether the scenario represents an (a)Independent or (b)Dependent Samples situation by placing the appropriate letter in the box provided. Comparing pain levels before and after treatment with magnetic therapy Comparing the number of speeding tickets received by men to the number received by women Comparing pre-test scores before training to post-test scores Comparing pain levels of a group receiving a placebo to a group receiving a medicine Independent Samples Dependent Samples
Q9. The following C.I.s were obtained for mean of the same population: [16, 23] and [14.9, 24.1]. Identify the correct row in the Table below: No. of Sample Level of Samples size confidence А. 2 Same same В. 1 Different same С. 1 Same different D. 2 Same different Ο Α. Α ОВ. В С. С O D. D
Please help me with this question.
3. A researcher samples 5 colony of Species of K and 5 colonies of Species L, measures their sizes as: Species K Species L 4.7 5.3 5.2 4.6 6.1 4.1 5.8 4.8 5.2 4.2 а. Test if mean colony size of Species K and Species L are different from each other? Report a p-value. (You mav need to do an additional test to decide which test to apply for comparing the means) b. What is the power of the test in part a? С. The researcher would like to design a new experiment which will allow a two tailed hypothesis test with significance 0.05 and power 0.90. What should be the sample sizes nk and ni for Species K and Species L (use k = 1). %3D
Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. Colby was in his most recent class, and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01. What is the mean score of the population? What is the mean score of the sample? Is this test one-tailed or two-tailed? Why?
1.idea or explanation for something that is based on known facts but has not yet been proven 2.rejecting the null hypothesis when it's actually true 3.failing to reject the null hypothesis when it's actually false 4.probability of committing type error 5.probability of committing type Il error 6.you can test for effects in only one direction 7.you can test for effects in only two directions 8.test to determine whether two population means are different when the variances are known and the sample size is large 9.hypotheses about the mean of a small sample drawn from a normally distributed population when the population standard deviation is unknown. 10.it is a statement of no difference Choices: A.one minus the power of the test B.chi-square C.null hypothesis D. Two sided test E. Hypothesis F. Z-test G.type I error H. one sided test I.level of significance J. Type III error K. alternative hypothesis L.type II error M. Student t-test
6. As a researcher for an environmental agency, you have been asked to determine if the air quality in the Philippines has changed over the past 2 years. You select a random sample of 7 metropolitan cities and find the number of days each year that these cities failed to meet acceptable air quality standards. The results were given below. Can we conclude that after a year, there is no improvement in the air = 0.15. quality in the Philippines? Use a = City Year 1 Year 2 1 18 24 2 50 77 3 9 13 4 22 21 5 30 44 6 29 23 7 1 6
1. A chi-square test was run on the two variables Attitude and Performance. A p-value of 0.035 was noted. State (a) two important properties of the data values found in the columns of the datasheet used (b) the alternative hypothesis (c) the conclusion, which should mention the two variables
The data shown in the table represent the measurements of 10-kΩ resistors (in kΩ) produced from five different machines. A random sample of nine resistors from each machine is taken to determine whether the mean resistance varies from one machine to another. Perform analysis of variance and test the hypothesis at the 0.05 level of significance that the mean resistances differ significantly for the five machines, all through manual computations. Show all complete and systematic solutions.

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