(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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104. What is the least squares regression line for the following summary data? y-hat =1.99x + 3.11 y-hat = 2.01x + 3.55 y-hat = 2.16x + 2.47 y-hat =2.02x + 2.73
Answer both parts of number 2
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
Say you have two sets of data X1, ..., X10 and Y1,..., Y40. All of this data is considered independent. The first set of data are Normally distributed with mean B and variance 10. The second set of data are Normally distributed with mean y and variance 10. We are trying to estimate 0 = X = X; 18 + y. Consider the estimate ô = }X + Ÿ where 3 4 iX + Y where 10 vi=1 1 10 and Y = E Y;? 40 vi=1 40 (a) What is the mean, variance and distribution of 0? (b) What is the probability that 0 is larger than 1 away from 0? (c) What is the bias, variance and MSE of the estimate 0 for estimating 0?
3) For a sample of 306 students in a basic business communications course, the sample regression line y = 58.813 + 0.2875x was obtained. Here y = final student score at the end of the course x = score on a diagnostic writing skills test given at the beginning of the course The coefficient of determination was 0.1158 and the estimated standard deviation of the estimator of the slope of population regression line was 0.04566. a) Define and interpret the estimates of the regression equation. b) Interpret the coefficient of determination. c) What will happen to the final student score if his diagnostic writing test score increases by 2? d) How can you inmprove this model?
Please help me with this question.
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

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