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Attached is my entire assignment with some of the questions answered.

Attached is my entire assignment with some of the questions answered.

I am not sure how the advanced tutoring works. But I have $20 available for the rest of the month.

SPSS: Week 9Imagine a researcher is interested in examiningthe relationship of self-esteem (ScoreOne) andproductivity (ProdOne).The researcher is also interested in the ability to predict the productivityof teachers using years of teaching (Experience) as the predicting variable.Use theteachersurvey.sav data set to conduct the analysis involving ScoreOne, ProdOne, andExperience.Use these data to answer the questions below (these data have already been enteredin a SPSS file; see the note below the data table).Gender (M = male, F = female)Self-esteem scoresProductivity scoresM6425M6828F7436M7538F7634F7936F8040F8241M6822M7038F7439F7634F7838F7937M8245M8546F7130M7334F7533M7736M7838M8042F8346F8649M7337F7438M7732M7735F7836M8145F8449F8748F7736M7133F7534F7636M7938M8348F8948F9149Download the SPSS data set: teachersurvey.sav.Not all of the variables in that SPSS file willbe used for this assignment.
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In this SPSS assignment, use the tools learned in this course thus far, with an emphasis on thetool acquired in Gravetter and Wallnau (2013) chapters 15 and 16 to describe a correlation andregression.1). Please produce an SPSS printout for a correlation between participants’ self-esteemand productivity.CorrelationsScoreOneProdOneScoreOnePearson Correlation1.897**Sig. (2-tailed).000N4040ProdOnePearson Correlation.897**1Sig. (2-tailed).000N4040**. Correlation is significant at the 0.01 level (2-tailed).a.) What are the null and alternative hypotheses?H0: Row[population correlation] = 0.There is no correlation between self-esteem andproductivity scores.H1: Row[population correlation] ≠0.There is a correlation between self- esteem andproductivity scores.b.) Will a Pearson correlation or Spearman correlation be used?Why?Explain the conditionwhen it is appropriate to use the other test.We can use Pearson correlation, since given data is numerical or quantitative data (ratiovariables). If the data is qualitative or ordinal in nature, then we use Spearmen correlationmethod.c.) What is the effect size?Is it small, medium, or large?Here researcher took the sample size ‘n’ is 40, it is usually considered as large sample, sincen > 30. Yet the effect sizeemphasizes the size of the difference rather than confounding thiswith sample size. The effect size is large since it is 8/10 of a standard deviation unit.d.) Report the results in APA format.d.) What conclusions can be made?From SPSS output, we obtained the result of correlation as ‘r’ = 0.897.It does mean thereis strong positive but not perfect correlation between self-esteem and productivity scores.
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