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This is the best image i can get 2. An experimental psychologist hypothesizes that a High-drive state will increase errors on a mental arithmetic task

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2. An experimental psychologist hypothesizes that a High-drive state will increase errors on a mental arithmetic task in comparison with a Low-drive state. Drive state is experimentally manipulated by telling half the participants that performance on the task is related to intelligence (High-drive state). Participants in the Low-drive condition are told that their answers to the problems are to be used as normative data for a future study. The researcher also hypothesizes that drive state will interact with the difficulty of the task. More specifically, participants experiencing high drive will not perform as well when the task is difficult compared with easy. Participants in the Difficult condition receive more complicated problems than those in the Easy condition. The researcher is predicting a main effect for drive and an interaction between task difficulty and level of drive state. The dependent variable is the number of errors made over a long series of mental arithmetic problems. Perform a two-way ANOVA on the following data, with alpha set at .05. We will find that there are main effects for both factors, in addition to a significant interaction. Use the second three columns of the SPSS file, and state the null and alternative hypothesis, generate an ANOVA summary table, perform any useful follow-up tests (effect size and post hoc), and interpret the findings. DH Ed Wew Dia Transform Ma Orphe Unies Extensions Casti aconds cogstrate artheros DY 1 15.00 1.00 1.00 16.00 12:00 2 1.00 1.00 12:00 13:00 1.00 1.00 15.00 15.00 1:00 1:00 10.00 15.00 1.00 1.00 16.00 30.00 1.00 1.00 18.00 10.00 1.00 1.00 19.00 15.00 1.00 100 15.00 32:00 1.00 1.00 20.00 20.00 1.00 1.00 15.00 25.00 1:00 1.00 12:00 29.00 1.00 1.00 17,00 30.00 1.00 1.00 20.00 36.00 1.00 1.00 22.00 15:00 1.00 1.00 17.00 75.00 1.00 1:00 16.00 1.00 1.00 14.00 1:00 1:00 15.00 1.00 1.00 12.00 1.00 1.00 29.00 1:00 2:00 20:00 1.00 2.00 10:00 3 4 14 D L " 6. 30 11 12 13 14 15 10 17 18 dit 00:05 25.00 4000 50.00 19 20 21 22 09.00 Data View Table view 199 38 Window askestate genedper academic facebook by orm 1.00 1.00 3.00 1.00 1.00 1.00 1.00 7.00 1.00 1.00 1.00 1.00 4.00 1.00 1.00 1:00 1.00 5.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 5100 D00 1.00 1.00 6.00 1.00 1.00 1.00 1.00 1.00 6.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 4.00 1.00 1.00 1.00 1.00 4.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 5.00 1.00 2.00 1.00 1.00 2.00 1.00 2.00 1.00 4.00 2:00 1.00 2.00 1.00 2:00 7:00 1.00 2:00 1.00 2.00 5.00 100 2.00 1.00 2.00 5.00 1,00 2.00 1.00 2:00 200 1.00 2:00 1.00 2.00 4.00 1.00 2.00 1.00 3.00 1.00 2.00 2.00 1 Visible 9 of 9 Variables WWW ksav (DataSet 1]-IBM SPSS Statistics Data Editor Data Transform Analyze Graphs Utilities antherrors conds sex cogstrate gy 1.00 18.00 1.00 12.00 1.00 15,00 1.00 10.00 1.00 16.00 1.00 18.00 1.00 19.00 1.00 15.00 1.00 20.00 1.00 15.00 1.00 12.00 1.00 17.00 1.00 20.00 1.00 22.00 1.00 17.00 1.00 16.00 1.00 14.00 1.00 15.00 1.00 12.00 1.00 29.00 1.00 20.00 1.00 10.00 15.00 12.00 13.00 15.00 15.00 30.00 10.00 19.00 32.00 20.00 25.00 29.00 30.00 35.00 19.00 75.00 60.00 25.00 40.00 50.00 65.00 89.00 lable View 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 Extensions Window Help taskdifficu drivestate Ity 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 A genedperf & academic facebook orm 3.00 1.00 1.00 1.00 1.00 7.00 4.00 1.00 1.00 5.00 1.00 1.00 3.00 1.00 1.00 5.00 .00 1.00 6.00 1.00 1.00 6.00 1.00 1.00 2.00 1.00 1.00 4.00 1.00 1.00 4.00 1.00 1.00 1.00 1.00 1.00 6.00 1.00 2.00 5.00 1.00 2.00 2.00 1.00 2.00 4.00 1.00 2.00 7:00 1.00 2.00 5.00 1.00 2.00 5.00 1.00 2.00 3.00 1.00 2.00 4.00 1.00 2.00 3.00 1.00 2.00 2. An experimental psychologist hypothesizes that a High-drive state will increase errors on a mental arithmetic task in comparison with a Low-drive state. Drive state is experimentally manipulated by telling half the participants that performance on the task is related to intelligence (High-drive state). Participants in the Low-drive condition are told that their answers to the problems are to be used as normative data for a future study. The researcher also hypothesizes that drive state will interact with the difficulty of the task. More specifically, participants experiencing high drive will not perform as well when the task is difficult compared with easy. Participants in the Difficult condition receive more complicated problems than those in the Easy condition. The researcher is predicting a main effect for drive and an interaction between task difficulty and level of drive state. The dependent variable is the number of errors made over a long series of mental arithmetic problems. Perform a two-way ANOVA on the following data, with alpha set at .05. We will find that there are main effects for both factors, in addition to a significant interaction. Use the second three columns of the SPSS file, and state the null and alternative hypothesis, generate an ANOVA summary table, perform any useful follow-up tests (effect size and post hoc), and interpret the findings. DH Ed Wew Dia Transform Ma Orphe Unies Extensions Casti aconds cogstrate artheros DY 1 15.00 1.00 1.00 16.00 12:00 2 1.00 1.00 12:00 13:00 1.00 1.00 15.00 15.00 1:00 1:00 10.00 15.00 1.00 1.00 16.00 30.00 1.00 1.00 18.00 10.00 1.00 1.00 19.00 15.00 1.00 100 15.00 32:00 1.00 1.00 20.00 20.00 1.00 1.00 15.00 25.00 1:00 1.00 12:00 29.00 1.00 1.00 17,00 30.00 1.00 1.00 20.00 36.00 1.00 1.00 22.00 15:00 1.00 1.00 17.00 75.00 1.00 1:00 16.00 1.00 1.00 14.00 1:00 1:00 15.00 1.00 1.00 12.00 1.00 1.00 29.00 1:00 2:00 20:00 1.00 2.00 10:00 3 4 14 D L " 6. 30 11 12 13 14 15 10 17 18 dit 00:05 25.00 4000 50.00 19 20 21 22 09.00 Data View Table view 199 38 Window askestate genedper academic facebook by orm 1.00 1.00 3.00 1.00 1.00 1.00 1.00 7.00 1.00 1.00 1.00 1.00 4.00 1.00 1.00 1:00 1.00 5.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 5100 D00 1.00 1.00 6.00 1.00 1.00 1.00 1.00 1.00 6.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 4.00 1.00 1.00 1.00 1.00 4.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 5.00 1.00 2.00 1.00 1.00 2.00 1.00 2.00 1.00 4.00 2:00 1.00 2.00 1.00 2:00 7:00 1.00 2:00 1.00 2.00 5.00 100 2.00 1.00 2.00 5.00 1,00 2.00 1.00 2:00 200 1.00 2:00 1.00 2.00 4.00 1.00 2.00 1.00 3.00 1.00 2.00 2.00 1 Visible 9 of 9 Variables WWW ksav (DataSet 1]-IBM SPSS Statistics Data Editor Data Transform Analyze Graphs Utilities antherrors conds sex cogstrate gy 1.00 18.00 1.00 12.00 1.00 15,00 1.00 10.00 1.00 16.00 1.00 18.00 1.00 19.00 1.00 15.00 1.00 20.00 1.00 15.00 1.00 12.00 1.00 17.00 1.00 20.00 1.00 22.00 1.00 17.00 1.00 16.00 1.00 14.00 1.00 15.00 1.00 12.00 1.00 29.00 1.00 20.00 1.00 10.00 15.00 12.00 13.00 15.00 15.00 30.00 10.00 19.00 32.00 20.00 25.00 29.00 30.00 35.00 19.00 75.00 60.00 25.00 40.00 50.00 65.00 89.00 lable View 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 Extensions Window Help taskdifficu drivestate Ity 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 1.00 2.00 A genedperf & academic facebook orm 3.00 1.00 1.00 1.00 1.00 7.00 4.00 1.00 1.00 5.00 1.00 1.00 3.00 1.00 1.00 5.00 .00 1.00 6.00 1.00 1.00 6.00 1.00 1.00 2.00 1.00 1.00 4.00 1.00 1.00 4.00 1.00 1.00 1.00 1.00 1.00 6.00 1.00 2.00 5.00 1.00 2.00 2.00 1.00 2.00 4.00 1.00 2.00 7:00 1.00 2.00 5.00 1.00 2.00 5.00 1.00 2.00 3.00 1.00 2.00 4.00 1.00 2.00 3.00 1.00 2.00

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