Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with eachmethod, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers.The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results wereobtained: SST-10,850; SSTR-4,570a. Set up the ANOVA table for this problem (to 2 decimals, if necessary).Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value (to 4 decimals)TreatmentsErrorTotalbuse a 05 to test for any significant difference in the means for the three assembly methods.Calculate the value of the test statistic (to 2 decimals)The p-value is Select your answerWhat is your conclusion-Select your answerbep<(A₁3

The question is about ANOVA.Given :Total no. of randomly selected employess ( N ) = 30No. of methods…

Answered: method, 30 employees were randomly…

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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A one-way Analysis of Variance (ANOVA) was used to examine whether students’ scores on a standardized test is a function of the teaching method they received (either lecture only, hands-on learning only, or both together). The ANOVA was significant. Run post hoc tests (by hand!) to determine which pairs of the mean are significantly different. Do the math for each and then explain in what way are they different. Method N Mean SD Source df SS MS F Lecture Only 15 82.8 9.59 Between 2 736.53 368.27 5.34 Hands-On Only 15 88.53 8.73 Within 42 2895.47 68.94 Both 15 92.67 6.22 Total 44 3632 Total 45 88
One sample has n=7 and SS=35 and a second sample has n =17 and SS =45. What is the pooled variance for these two samples?
Which of the following procedures would you use to investigate this question: Is a California resident in 2020 more or less likely to have been born in California than a California resident in 1950? O Analysis of variance O Chi-square test för goodness-of-ft One-sample z-test for a proportion O Two-sample t-test for comparing means O Two-samplez-test for comparing proportions
a) which for these data is 32.1470, 42.3520, or 10.0674 c) that minimizes the error sum of squares, total sum of squares, or regression sum of squares…for which these data is 32.1470, 42.3520, or 10.0674
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
2. Differentiate Independent and Dependent Samples and give an example for each method.
Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST =10,870; SSTR =4580. a. Set up the ANOVA table for this problem (to 2 decimals but p-value to 4 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments 4580 Error 6290 Total 10870 b.Use a = 0.05 to test for any significant difference in the means for the three assembly methods. Calculate the value of the test statistic (to 2 decimals). The p-value is - Select your answer - What is your conclusion? Select your answer -
Consider the following 29 years worth of observed annual rainfall data (in inches) for a certain weather station shown. Treat the data as samples only. (Note: The data are arranged in chronological manner.) 43.30 53.02 63.52 45.93 48.26 50.51 49.57 43.93 46.77 59.12 54.49 47.38 40.78 45.05 50.37 54.91 51.28 40.01 53.29 67.59 58.71 42.96 55.77 41.31 58.83 48.21 44.67 67.72 43.11 (a) Make a time-series line graph showing the trend of observed rainfall data through time. (For year, just denote it as Year 1, Year 2 etc.). Draw the line graph by hand. (b) Make a grouped data representing the given rainfall data. Use the following class intervals: 40<=X<45, 45<=X<50, 50<=X<55, 55<=X<60, 60<=X<65, and 65<=X<70.
An agricultural engineer wants to compare crop yields of soybeans for four regions. Data were collected from a random sample of 56 crops, 14 from each region. In performing the ANOVA test, the conclusion was Fail to Reject the Null Hypothesis, thus the results were not significant at a = 0.05. Determine whether the following statement is true or false. It would be necessary to then perform the Tukey-Kramer (T-K) multiple comparisons procedure to identify differences in the mean crop yields of the four regions. True False
Three different methods for assembling a product were proposed by an Industrial engineer. To investigate the number of units assembled correctly with each method, 36 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 12 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 12,750; SSTR = 4,510. (a) Set up the ANOVA table for this problem. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) Source Degrees of Freedom Sum Mean of Variation of Squares Square p-value Treatments Error Total (b) Use a = 0.05 to test for any significant difference in the means for the three assembly methods. State the null and alternative hypotheses. Ho: H H2 H3 H H- H2=H3 O Ho: Hy=H2-H H H H2 Hy Ho: At least two of the population means are equal. H3: At least…
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Mean Squares, Treatment 0000 Mean Squares, Error Calculate the value of the test statistic (to 2 decimals). 1 17 23 21 19 What conclusion can you draw after carrying out this test? - Select your answer - Manufacturer 2 28 26 31 27 + 3 18 17 21 20 The p-value is - Select your answer - What is your conclusion? - Select your answer - b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. Calculate Fisher's LSD Value (to 2 decimals).
Given the 5 variables being: 22342, 19919, 8187, 15875, 17994, could you help me understand the fourmlas and find the mean, median, range, standard deviation, variance, skewness, and kurtosis?

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