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Problem 7: Below you can find the salaries (USD/hour) of people who have a degree in economics, medicine or history. Test at 0.05 level of significance whether there is a significant difference between the different degrees. Economics Medicine History Participant1 Participant2 Participant3 Participant4 Participant5 Participant6 42.98 40.35 50.05 44.43 42.54 36.37 45.83 35.22 44.36 41.10 35.09 40.73 53.46 43.89 40.72 38.10 38.49 48.43 Participant7 Participant8 Participant9 Participant10 Particip ant11 35.85 42.80 37.32 44.72 37.58 42.46 45.68 45.15 41.60 35.37 34.19 55.57 44.13 42.08 50.79

Problem 7: Below you can find the salaries (USD/hour) of people who have a degree in economics, medicine or history. Test at 0.05 level of significance whether there is a significant difference between the different degrees. Economics Medicine History Participant1 Participant2 Participant3 Participant4 Participant5 Participant6 42.98 40.35 50.05 44.43 42.54 36.37 45.83 35.22 44.36 41.10 35.09 40.73 53.46 43.89 40.72 38.10 38.49 48.43 Participant7 Participant8 Participant9 Participant10 Particip ant11 35.85 42.80 37.32 44.72 37.58 42.46 45.68 45.15 41.60 35.37 34.19 55.57 44.13 42.08 50.79

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 23PFA
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Help me answer these problems :  One-way ANOVA

Provide the ANOVA Table for each problem. An example ANOVA table is presented below:

Instruction: Provide the ANOVA Table for each problem. An example ANOVA table is presented below: Source of Variation SS df MS F p-value Between Groups Within Groups Total Problem 7: Problem 8: Below you can find the salaries (USD/hour) of people who have a degree in economics, medicine or history. Test at 0.05 level of significance whether there is a significant difference between the different degrees. An engineer wants to determine if there is a relationship between the power setting and the etch rate power settings (160W, 180W, 200W and 220W). The engineer tested five wafers a plasma etching process. She is using four different at each power level. The data from the experiment are shown below. Test at 0.01 level of significance whether there are significant differences among the treatments. Economics Medicine History Participant1 Participant2 Participant3 Participant4 Participant5 Participantó Participant7 Participant8 Participant9 Participant10 Particip ant11 42.98 40.35 50.05 44.43 42.54 36.37 45.83 35.22 44.36 160W 180W 200W 220W 41.10 40.73 53.46 Waferl 623.42 666.41 664.06 779.02 35.09 40.72 43.89 Wafer2 624.94 658.08 636.14 687.37 38.10 8.49 3.43 Wafer3 593.98 652.23 612.94 753.22 35.85 42.80 37.32 Wafer4 602.01 648.91 601.29 682.34 37.58 45.68 44.72 Wafer5 629.25 651.92 633.03 798.36 42.46 45.15 41.60 35.37 34.19 55.57 44.13 42.08 50.79
Transcribed Image Text:Instruction: Provide the ANOVA Table for each problem. An example ANOVA table is presented below: Source of Variation SS df MS F p-value Between Groups Within Groups Total Problem 7: Problem 8: Below you can find the salaries (USD/hour) of people who have a degree in economics, medicine or history. Test at 0.05 level of significance whether there is a significant difference between the different degrees. An engineer wants to determine if there is a relationship between the power setting and the etch rate power settings (160W, 180W, 200W and 220W). The engineer tested five wafers a plasma etching process. She is using four different at each power level. The data from the experiment are shown below. Test at 0.01 level of significance whether there are significant differences among the treatments. Economics Medicine History Participant1 Participant2 Participant3 Participant4 Participant5 Participantó Participant7 Participant8 Participant9 Participant10 Particip ant11 42.98 40.35 50.05 44.43 42.54 36.37 45.83 35.22 44.36 160W 180W 200W 220W 41.10 40.73 53.46 Waferl 623.42 666.41 664.06 779.02 35.09 40.72 43.89 Wafer2 624.94 658.08 636.14 687.37 38.10 8.49 3.43 Wafer3 593.98 652.23 612.94 753.22 35.85 42.80 37.32 Wafer4 602.01 648.91 601.29 682.34 37.58 45.68 44.72 Wafer5 629.25 651.92 633.03 798.36 42.46 45.15 41.60 35.37 34.19 55.57 44.13 42.08 50.79
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