You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. Population Population Category #1 #2 40 102 28 84 The expected observations for this table would be Population Population Category # 1 #2 A The resulting Pearson residuals are: Population Population Category #1 #2 A What is the chi-square test-statistic for this data? x = Report all answers accurate to three decimal places.

You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. Population Population Category #1 #2 40 102 28 84 The expected observations for this table would be Population Population Category # 1 #2 A The resulting Pearson residuals are: Population Population Category #1 #2 A What is the chi-square test-statistic for this data? x = Report all answers accurate to three decimal places.

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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One of the following is an example of a question that might be asked to ascertain a problem with a nonrepresentative sample. Which one? O Do the signs of the residuals alternate? O Does the population have an omitted variable? O Do the residuals show nonconstant variance? O Does the sample contain about the same geographic coverage as the population?
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just question 18 please
QUESTION 2 A study is being carried out to see any differences in life satisfaction between young, middle- aged, and older men and women. A life satisfaction questionnaire is given to each participant in the research. A high degree of life satisfaction is indicated by a high score on the questionnaire. The results are listed in the table below. Adult Categories Gender Young Middle Older Men 7 10 Women 11 10 The MINITAB output for the above data is as follows. Analysis of Variance Source gender adult categories DF MS 6.000 8.667 C 0.225 4.334 0.187 6.000 A 4.000 27.333 Error B Total 5 Assume all the assumptions of ANOVA are met, answer the following questions. c) Using the given data, show that SST is 27.333
Just question 19 please
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Question 18 Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same mean. Identify the value of the test statistic. Source DF SS MS F Factor 3 13.500 4.500 5.17 0.011 Error 16 13.925 0.870 Total 19 27.425 0.011 13.500 4.500 5.17
Question 2 In 8 different months company CC sales the following number of cars 5 9 10 8 Calculate sample mean and variance 7 OA Mean = 10 OB. None of these answers OC. Mean = 10.25 OD. Mean-10 OE Mean = 10.375 Variance = 12 Variance = 13.64 Variance = 11.14 Variance = 14.83 12 15
QUESTION 2 A study is being carried out to see any differences in life satisfaction between young, middle- aged, and older men and women. A life satisfaction questionnaire is given to each participant in the research. A high degree of life satisfaction is indicated by a high score on the questionnaire. The results are listed in the table below. Adult Categories Gender Young Middle Older Men 7 10 Women 7 11 10 The MINITAB output for the above data is as follows. Analysis of Variance Source DF ss MS F P 6.000 C 0.225 gender adult categories 1 6.000 2 A 8.667 4.334 0.187 Error 2 4.000 в Total 27.333 Assume all the assumptions of ANOVA are met, answer the following questions. a) Identify the experimental design that was applied by the researcher. Give one advantage of this design.
Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120
question 3
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