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Data collection and hypothesis testing. (t-value, p-value and hypothesis

Data collection and hypothesis testing. (t-value, p-value and hypothesis
Paper details

Template for the Research Projectn2. RESEARCH QUESTIONSnThese are the questions you are carrying out the hypothesis testing for. For example,nbased on the data file that we used in the class to work on Excel (and which is available on thencourse website), one could have the following research questions:nQ1: Is the recruiter score of A-category colleges greater than the recruiter score of B-categoryncolleges?nQ2: Are “Tuition & Fees” and “Salary & Bonus” significantly related with each other?nQ3: Are “Recruiter Score” and “Salary & Bonus” significantly related with each other?n(Note: you can now use Simple Linear regression Analyses (Ch-14) instead of Multiple RegressionnAnalyses (Ch-15) for the third hypotheses too.)n4. HYPOTHESIS 1nBased on your research question #1nHo: The recruiter score of A-category colleges is not greater than the recruiter score of B-categoryncollegesnHa: The recruiter score of A-category colleges is significantly greater than the recruiter score of BcategoryncollegesnornHo: Ua < = UbnHa: Ua > UbnWhere:nUa = Average recruiter score of A-category collegesnUb= Average recruiter score of B-category collegesnCopy and paste here the table from Excel that shows your work to calculate the p-value.np-value =nState whether you reject the null hypotheses or not.nBased on the above, state your conclusion whether recruiter score of A-category colleges isnsignificantly greater than the recruiter score of B-category collegesn5. HYPOTHESIS 2nBased on your research question #2nHo: The Tuition & Fees of colleges is significantly related with the Salary & Bonus of the collegengraduatesnHa: The Tuition & Fees of colleges is not significantly related with the Salary & Bonus of thencollege graduatesnHo: b1 = 0nHa: b1 # 0nCopy here the last three rows of the table from the regression analysis output as we did in the lab.nThe second row has values for the hypothesis test for the significance of the slope. Obtain thenvalues of p-value for b1 from the table.np-value =nState whether you reject the null hypotheses or not.nBased on the above, state your conclusion whether a significant relationship exists between thentwo variables.n5. HYPOTHESIS 3nSimilar to hypothesis 2 but with a different combination of the variables. For example, RecruiternScore instead of Tuition & Fees.n6. Additional Analysis (optional)nDid you carry out any analysis of data other than testing the three hypotheses above? (If yes,npresent them there. It could be hypotheses testing, or regression analysis, or simply summarizingnthe data as in using pie charts, scatter plots, cross tabulation, bar charts, histogram, etc). Did younfind anything interesting to report?n7. IMPLICATIONS OF YOUR RESEARCH PROJECTnHow can the results of your study (or the insights gained from it) be put to some practical use?n

Data collection and hypothesis testing. (t-value, p-value and hypothesis

Data collection and hypothesis testing. (t-value, p-value and hypothesis
Paper details

Template for the Research Projectn2. RESEARCH QUESTIONSnThese are the questions you are carrying out the hypothesis testing for. For example,nbased on the data file that we used in the class to work on Excel (and which is available on thencourse website), one could have the following research questions:nQ1: Is the recruiter score of A-category colleges greater than the recruiter score of B-categoryncolleges?nQ2: Are “Tuition & Fees” and “Salary & Bonus” significantly related with each other?nQ3: Are “Recruiter Score” and “Salary & Bonus” significantly related with each other?n(Note: you can now use Simple Linear regression Analyses (Ch-14) instead of Multiple RegressionnAnalyses (Ch-15) for the third hypotheses too.)n4. HYPOTHESIS 1nBased on your research question #1nHo: The recruiter score of A-category colleges is not greater than the recruiter score of B-categoryncollegesnHa: The recruiter score of A-category colleges is significantly greater than the recruiter score of BcategoryncollegesnornHo: Ua < = UbnHa: Ua > UbnWhere:nUa = Average recruiter score of A-category collegesnUb= Average recruiter score of B-category collegesnCopy and paste here the table from Excel that shows your work to calculate the p-value.np-value =nState whether you reject the null hypotheses or not.nBased on the above, state your conclusion whether recruiter score of A-category colleges isnsignificantly greater than the recruiter score of B-category collegesn5. HYPOTHESIS 2nBased on your research question #2nHo: The Tuition & Fees of colleges is significantly related with the Salary & Bonus of the collegengraduatesnHa: The Tuition & Fees of colleges is not significantly related with the Salary & Bonus of thencollege graduatesnHo: b1 = 0nHa: b1 # 0nCopy here the last three rows of the table from the regression analysis output as we did in the lab.nThe second row has values for the hypothesis test for the significance of the slope. Obtain thenvalues of p-value for b1 from the table.np-value =nState whether you reject the null hypotheses or not.nBased on the above, state your conclusion whether a significant relationship exists between thentwo variables.n5. HYPOTHESIS 3nSimilar to hypothesis 2 but with a different combination of the variables. For example, RecruiternScore instead of Tuition & Fees.n6. Additional Analysis (optional)nDid you carry out any analysis of data other than testing the three hypotheses above? (If yes,npresent them there. It could be hypotheses testing, or regression analysis, or simply summarizingnthe data as in using pie charts, scatter plots, cross tabulation, bar charts, histogram, etc). Did younfind anything interesting to report?n7. IMPLICATIONS OF YOUR RESEARCH PROJECTnHow can the results of your study (or the insights gained from it) be put to some practical use?n

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