RAPP1007 Lab Test 1 Practice The data for the test is in the MS-Excel file posted with this test. You are free to use whichever method (e.g., SPSS, MS-Excel) you prefer to complete the calculations....

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need assistance with an online Stats Lab / Exam - its is timed 12- 3 pm EST - I have uploaded a practice test to show what it will be like


RAPP1007 Lab Test 1 Practice The data for the test is in the MS-Excel file posted with this test. You are free to use whichever method (e.g., SPSS, MS-Excel) you prefer to complete the calculations. You have one hour and fifty minutes to complete the practice lab test. Unless otherwise stated, for all inferential tests, alpha is set to 0.05. I will take up the exam starting at 2pm. Elite-Level questions have been added. These questions will not be on the test next week. 1. I have investigated stress among Amazon warehouse pickers. For my study I measured job stress by employee Job Classification (Apprentice Picker, Junior Picker, and Senior Picker) and Employee Age (“Under 65” and “65 and older”). a. Complete the appropriate omnibus inferential tests and state your conclusions. b. Complete simple main effects for the factor “Job Classification” c. Where needed, complete Tukey’s HSD d. Elite-Level Question: Complete the following planned comparisons for the “Job Classification” main effect and the “Job Classification” x Employee Age interaction i. Apprentice compared to Junior and Senior Pickers ii. Junior Pickers compared to Senior Pickers 2. I have data on a study that investigated the impact of noise (None, Low, Medium, High noise levels) on task performance for Amazon warehouse pickers. The scores represent the time it took in minutes to pick and package 100 books for shipment. So the higher the time per noise level the poorer the performance. Subjects completed the task for all four noise levels. a. Complete the appropriate inferential test and complete fill in the source table below b. When needed complete post hoc comparisons of means c. Write up your conclusion d. Elite-Level Question: Complete the following planned comparisons i. Noise compared to Low, Medium, and High ii. Low compared to Medium and High iii. Medium compared to High Source SS df MS f f critical Noise Subjects Error Total 3. I plan to complete the following two planned comparisons; P1: Group A and Group B compared to Group C, Group D, and Group E ` P2: Group B compared to Group D and Group E a. State the null hypothesis for both comparisons b. Are the two comparisons orthogonal (independent)? 4. I plan to complete ten pairwise comparisons of means and I have set alpha equal to 0.01. Assuming the null hypothesis is true for all comparisons, what is the probability that I will reject the null hypothesis (commit a type I error) one or more times? 5. I am looking to see if the average number of “Litres of Syrup Sold” differs among the five townships of Severn, Tay, Tiny, Springwater, and Essa. Per township, I collected the “Litres of Syrup Sold” from three farms. Please complete the following tasks (for all tests Alpha equal to 0.05); a. Complete the appropriate inferential test. b. Complete the following planned comparisons i. Severn, Tay, and Tiny compared to Springwater and Essa ii. Severn compared to Tay and Tiny iii. Tay compared to Tiny iv. Springwater compared to Essa b. State your conclusions 6. I have collected running speed data (Miles per Hour) for a sample of Golden Retrievers and Boston Terriers. Are Golden Retrievers faster than Boston Terriers? 7. For a two-tailed independent means t-test with 15 subjects in each group show the following on the diagram to the right; a. The critical value(s) for alpha equal to 0.01 b. Shade in the critical region(s). c. The location of a t-observed equal to 2.80 d. State your conclusion Q1 EmployeeClassificationAgeStress 1Senior PickerUnder 65146 2Senior PickerUnder 65144 3Senior PickerUnder 65151 4Senior PickerUnder 65134 5Senior Picker65 and Older155 6Senior Picker65 and Older156 7Senior Picker65 and Older162 8Senior Picker65 and Older163 9Junior PickerUnder 65144 10Junior PickerUnder 65150 11Junior PickerUnder 65141 12Junior PickerUnder 65146 13Junior Picker65 and Older147 14Junior Picker65 and Older138 15Junior Picker65 and Older144 16Junior Picker65 and Older138 17Apprentice PickerUnder 65150 18Apprentice PickerUnder 65146 19Apprentice PickerUnder 65144 20Apprentice PickerUnder 65138 21Apprentice Picker65 and Older140 22Apprentice Picker65 and Older146 23Apprentice Picker65 and Older147 24Apprentice Picker65 and Older142 Q2 Employeenonelowmediumhigh 152554168 260614872 355593879 440453751 548584545 SourceSSdfMSff critical Noise Subjects Error Total Q5 FarmTownshipLitres of Syrup Sold 1Severn31 2Severn36 3Severn41 4Tay32 5Tay37 6Tay42 7Tiny39 8Tiny44 9Tiny49 10Springwater42 11Springwater47 12Springwater52 13Essa46 14Essa51 15Essa56 Q6 DogBreedSpeed (Miles/Hour) 1Boston Terrier26 2Boston Terrier32 3Boston Terrier34 4Boston Terrier34 5Boston Terrier31 6Boston Terrier49 7Golden Retreiver28 8Golden Retreiver45 9Golden Retreiver49 10Golden Retreiver49 11Golden Retreiver43 12Golden Retreiver47 Q1 EmployeeClassificationAgeStressTests of Between-Subjects Effects 1Senior PickerUnder 65146Dependent Variable: Stress Descriptive Statistics 2Senior PickerUnder 65144Dependent Variable: Stress 3Senior PickerUnder 65151ClassificationAgeMean 4Senior PickerUnder 65134SourceSSdfMSFSig.Apprentice Picker65 and Older143.75 5Senior Picker65 and Older155Classification306.5832153.2926.6650.007Under 65144.5 6Senior Picker65 and Older156Age80.667180.6673.5070.077Total144.125 7Senior Picker65 and Older162Classification * Age410.0832205.0428.9150.002Junior Picker65 and Older141.75 8Senior Picker65 and Older163Error4141823Under 65145.25 9Junior PickerUnder 65144Total51513424Total143.5 10Junior PickerUnder 65150Senior Picker65 and Older159 11Junior PickerUnder 65141Under 65143.75 12Junior PickerUnder 6514665 and Oldern=4Total151.375 13Junior Picker65 and Older147Apprentice PickerJunior PickerSenior PickerMeanTotal65 and Older148.1667 14Junior Picker65 and Older138143.75141.75159148.1666666667Under 65144.5 15Junior Picker65 and Older144SS78.0277777778164.6944444444469.4444444444712.1666666667Total146.3333 16Junior Picker65 and Older138df2 17Apprentice PickerUnder 65150MS356.0833333333 18Apprentice PickerUnder 65146f15.481884058 19Apprentice PickerUnder 65144p value0.000122625 20Apprentice PickerUnder 65138 21Apprentice Picker65 and Older140Tukey's 22Apprentice Picker65 and Older146q3.61 23Apprentice Picker65 and Older147HSD8.6564758996 24Apprentice Picker65 and Older142 Apprentice PickerJunior PickerSenior Picker 143.75141.75159 Apprentice Picker143.75 Junior Picker141.752 Senior Picker15915.2517.25 Under 65 Apprentice PickerJunior PickerSenior Picker 144.5145.25143.75144.5 SS02.252.254.5 df2 MS2.25 f0.097826087 p value0.9072853725 UNIANOVA Stress BY Age Classification /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /CRITERA=ALPHA(.05) /LMATRIX 'Over 65 Classification Simple Main Effect' Classification 2 -1 -1 Age*Classification 2 -1 -1 0 0 0; Classification 0 1 -1 Age*Classification 0 1 -1 0 0 0 /LMATRIX '65 and under Classification Simple Main Effects' Classification 2 -1 -1 Age*Classification 0 0 0 2 -1 -1; Classification 0 1 -1 Age*Classification 0 0 0 0 1 -1 /DESIGN=Age Classification Age*Classification. EXECUTE. Q2 EmployeenonelowmediumhighSS SubEmployeenonelowmediumhigh 152554168545.29115140230 26061487260219.042516624367 3555938795896.043538221684 44045375143368.644165622513 5485845454959.29524276262 35156426353 748.32485 SourceSSdfMSff critical Noise1180.553393.5178.4983.4902948195 Subjects748.34 Error555.71246.308 Total2484.5519 Tests of Within-Subjects Effects Measure: MEASURE_1 SourceType III Sum of SquaresdfMean SquareFSig.q4.2 Noise1180.553393.5178.4980.003ms46.308 Subject748.304N5 Error(Noise)555.701246.308hsd12.7818083228 Total 2484.5519 nonelowmediumhigh 51564263 none51 low565 medium42-9-14 high6312.0721 COMPUTE P1=(+3)*none+(-1)*low+(-1)*medium+(-1)*high. COMPUTE P2=(0)*none+(+2)*low+(-1)*medium+(-1)*high. COMPUTE P3=(0)*none+(0)*low+(+1)*medium+(-1)*high. EXECUTE. Q3 Q4 0.095617925 Q5 FarmTownshipLitres of Syrup Sold 1Severn31 2Severn36 3Severn41 4Tay32 5Tay37 6Tay42 7Tiny39 8Tiny44 9Tiny49 10Springwater42 11Springwater47 12Springwater52 13Essa46 14Essa51 15Essa56 FarmTownshipLitres of Syrup Sold 1031 2036 3041 4132 5137 6142 7239 8244 9249 10342 11347 12352 13446 14451 15456 Descriptives Syrup NMeanStd. DeviationStd. Error95% Confidence Interval for MeanMinimumMaximum Lower BoundUpper Bound Severn33652.8867523.579348.4207314139 Tay33752.8867524.579349.42073242 Tiny34452.8867531.579356.42073949 Springwater34752.8867534.579359.42074252 Essa35152.8867538.579363.4207465647 Total15437.309491.887338.952147.04793156 ONEWAY Syrup BY Location /CONTRAST=2 2 2 -3 -3 /CONTRAST=2 -1 -1 0 0 /CONTRAST=0 1 -1 0 0 /CONTRAST=0 0 0 1 -1 /ES=OVERALL /STATISTICS DESCRIPTIVES /MISSING ANALYSIS /CRITERIA=CILEVEL(0.95). EXECUTE. Q6 DogBreedSpeed (Miles/Hour)DogBreedSpeed (Miles/Hour) 1Boston Terrier261026 2Boston Terrier322032 3Boston Terrier343034 4Boston Terrier344034 5Boston Terrier315031 6Boston Terrier496049 7Golden Retreiver287128 8Golden Retreiver458145 9Golden Retreiver499149 10Golden Retreiver4910149 11Golden Retreiver4311143 12Golden Retreiver4712147 Q7 t obs 2.8 Yes I would reject H0. -2.7632.763 df28 t critical2.7632624555 n MS qHSD treatmentswithin 
Answered 2 days AfterMar 14, 2022

Answer To: RAPP1007 Lab Test 1 Practice The data for the test is in the MS-Excel file posted with this test....

Suraj answered on Mar 17 2022
99 Votes
Solution 1:
The appropriate test for first comparison is the independent sample t-test and for next
comparisons multiple comparison test using SPSS.
The output tables are given as follows:
Toronto and Seoul compared to Kano and Jaipur
Here, we are comparing only two groups. Toronto and Seoul are one and Kano and Jaipur are second.
The independent t-test is conducted here. The equal variance null hypothesis is not rejected. Hence, the test-statistic is taken from first row, hence, its value is -0.022 and the p-value is 0.982. Thus, there is no difference between first and second group.
Toronto compared to Seoul
From the first column Toronto and second column Seoul the p-value is 0.0. Thus, the p-value is less than 0.05. Hence, the null hypothesis is rejected...
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