You are conducting a test of homogeneity for the claim that two different populations have thesame proportions of the following two characteristics. Here is the sample data.Population PopulationCategoryABThe expected observations for this table would bePopulation Population#2Category #1A#15014ABThe resulting Pearson residuals are:Population PopulationCategory13,289#1#212941MAY→What is the chi-square test-statistic for this data?x² =Report all answers accurate to three decimal places.9#2C72MacBook ProQ Search securyBrowse

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Answered: You are conducting a test of…

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?
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
just question 18 please
Heights The heights (cm) in the following table are from Data Set 1 “Body Data” in Appendix B. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude? XLSTAT
You wish to test the following claim (��) at a significance level of �=0.002. ��:�1=�2 ��:�1≠�2You believe both populations are normally distributed, but you do not know the standard deviations for either. However, you also have no reason to believe the variances of the two populations are not equal. You obtain the following two samples of data. Sample #1 Sample #2 50.2 77.2 87.1 65 64.2 58.4 78 60.5 72.6 53.1 51.2 75.6 64.2 93.6 68.6 63.8 71.9 74.9 74.5 54.6 59.2 61.8 90.1 73.6 55.4 62.6 68.6 71.6 67.9 87.3 51.9 85.2 81.3 76.3 54 59.6 59.6 88.6 50.8 What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.)p-value =
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
Consider the following data: Step 1 of 3: Calculate the value of the sample variance. Round your answer to one decimal place. Answer How to enter your answer (opens in new window) stical Tables nomial Probabilities nomial Cumulative Poisson Probabilities Poisson Cumulative andard Normal Table t Table - Chi Square F Table - Pearson Correlation Coefficient Nonparametrics - Misc. q Table -2, -2, -8,-8, -2, -8, 12 N ww 3.1 3.0 2.9 2.8 2.7 2.6 2.5 Copy Data Tables Keypad Keyboard Shortcuts 0.07 0.08 0.09 3.3 3.2 Standard Normal Probabilities (z to ∞) 0.00 0.01 0.02 0.03 0.04 0.05 0.06 3.4 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.000 0.0005 0.0005 0.0005 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.000 0.0007 0.0007 0.0006 0.0006 0.0006 0.0006 0.0006 0.0005 0.0005 0.000 0.0010 0.0009 0.0009 0.0009 0.0008 0.0008 0.0008 0.0008 0.0007 0.000 0.0013 0.0013 0.0013 0.0012 0.0012 0.0011 0.0011 0.0011 0.0010 0.001 0.0019 0.0018 0.0018 0.0017 0.0016 0.0016 0.0015 0.0015 0.0014…
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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