Statistics- Explain whether you should retain or reject the null hypothesis

Statistics- Explain whether you should retain or reject the null hypothesis

Statistics- Explain whether you should retain or reject the null hypothesis

I have 2 assignments for you, The first is due Wednesday…To prepare: Imagine a situation in which you would like to predict an outcome. Think about why you would choose touse regression rather than correlation. Why is prediction more important than simply describing a relationship?Post by Day 3 a description of a scenario where you would like to predict an outcome based on a predictor variable.Describe how regression would help you make your prediction. Apply the following terms to your scenario (making sureto fully explain each concept in relation to your example): criterion, predictor, linear regression line, correlation(positive or negative), and proportion of variance accounted for (R2).This one is due on Sunday….Again, I don’t need the SPSS info for theses just need you to answer the questions for me…please.I can pay you $30 for everything, please let me ASAP as the first one is due tomorrow.Scenario:To prepare for this Assignment, recall that in Week 1 you imagined you were a researcher interested indetermining if student intelligence is related to self-esteem. Now imagine that 10 individuals participated in yourstudy and the raw data are given here:ParticipantSelf-EsteemScoreIQ13.210024.114032.29543.011252.613062.09975.011884.812193.7129104.4138Assignment:To complete this Assignment, submit by Day 7 your answers to the following. Based on the scenario, use SPSS todetermine if self-esteem is related to intelligence in your sample by computing a correlation. Save and submit both theSPSS data and output files.Before computing the correlation, state either a one-tailed or two-tailed, alternative hypothesis and thecorresponding null hypothesis in words (not formulas).Based on the hypotheses you stated, explain whether you should conduct a one-tailed or two-tailed test.Provide a rationale for your choice.Identify what the correlation coefficient (r) is for this data set.State the degrees of freedom and explain how it is calculated.Identify the p value.Explain whether you should retain or reject the null hypothesis. Provide a rationale for your decision.Describe the direction and strength of the relationship between self-esteem and intelligence.Scenario:To prepare for this Assignment, imagine that you have information about 30 other participants’ self-esteem andintelligence, but for these individuals you only have data on whether they have average or above averageintelligence, and whether they have high or low self-esteem. You do not have their actual scores for eachvariable. The observed frequencies are reported here:IntelligenceAverageLow78HighSelf-EsteemAbove Average510Assignment:To complete this Assignment, submit by Day 7 your answers to the following. Based on the scenario, use SPSS todetermine if intelligence is related to self-esteem in your sample by computing the appropriate chi-square test. Save andsubmit both the SPSS data and output files.Explain what scale of measurement is used to measure intelligence in this example. How do you know?Explain what scale of measurement is used to measure self-esteem. How do you know?Before computing the chi-square, state your null and alternative hypotheses in words (not formulas).State whether this scenario requires a one-way or two-way chi-square test. Explain your answer.Identify the obtained χ2.Identify the degrees of freedom and explain how it is calculated.Identify the p value.Explain whether you should retain or reject the null hypothesis and why.Explain what you can determine about the relationship between self-esteem and intelligence, based on thisset of data.

 

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