SPSS – Independent-Samples t-TestThe independent-samples t-test is one of several inferential statistical tests in the t-test family. The purpose of the independent-samples t-test is to examine whether there is a statistically significant group mean (average) difference on a scale (numerical) business outcome variable. For example, a researcher might be interested in knowing whether night shift workers produce more widgets, on average, than day shift workers. The independent-samples t-test is used when the researcher has one nominal (categorical) independent variable, with two levels, day shift and night shift, and one scale (numerical) dependent variable (e.g., monthly number of widgets produced).To prepare for this Assignment, review the Paul and Garg (2014) article, focusing on the independent-samples t-test. Also, review the Week 3 Assignment Exemplar and Week 3 Assignment Template documents, as well as the tutorial videos, provided in this week’s Resources. Be sure to review the footnotes in the Week 3 Assignment Exemplar, as the footnotes provide additional explanatory information. Consider how independent-samples t-tests can impact the progress or results of a doctoral research study.Submit a synthesis of statistical findings derived from independent-samples t-tests that follows the Week 3 Assignment Template. Your synthesis must include the following:A description and justification for using the independent-samples t-testA properly formatted research questionA properly formatted H0(null) and H1 (alternate) hypothesisAn APA-formatted Results section for the independent-samples t-test, to include the following: Identification of the statistical testIdentification of independent and dependent variables, including identification of the number of levels for the independent variableIdentification of data assumptions and assessment outcomeInferential results in correct APA statistical notation formatA properly formatted box plotAPA-formatted references An Appendix including the SPSS output (Group Statistics and Independent Samples Test parameters; see Week 3 Assignment Exemplar)Note: You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. You must use the Week 3 Assignment Template to complete this Assignment. Dataset file is listed below in the uploaded files to be used for the assignment. Here is the link if you cannot open. http://www.pearsonhighered.com/program/Green-Using-SPSS-for-Windows-and-Mcintosh-Books-a-la-Carte-8th-Edition/PGM14536.htmlPaul, H., & Garg, P. (2014). Organizational commitment of frontline sales professionals in India: Role of resilience. International Journal of Business Insights and Information, 7(2), 12–18. Retrieved from http://www.ijbit.org/home Note: This article contains several statistical analyses, to include the independent-samples t-test.

For this assignment follow the Instructions Below:InstructionsCarefully review the information provided below about the fictitious study, then address each assignment requirement. Scenario:You are the new director of institutional research at a small state university, and you have been assigned the task of analyzing information for the dean of the School of Education regarding the performance of their undergraduate students on the often-controversial Graduate Record Exam (GRE). Many educators believe the GRE is a poor evaluator of undergraduate performance as well as a poor predictor of graduate school performance. The dean is considering eliminating the GRE from graduate school admissions requirements.The dean has already collected data on four variables: 1) gender, 2) grade point average (GPA), 3) GRE score, and 4) graduate degree completion frequency. Your job is to develop a proposed analysis to assist the dean to make an informed decision regarding the future use of the GRE.Note:(For this assignment, you don’t have to produce any data. This assignment is asking for you to develop the analyses to answer the different questions (see below 1 – 4); relationships questions (What analyses can you use for relationship questions? What types of data (level of measurement)?), for effect questions (What analyses can you use to test for effects of independent variables on dependent variables?) Think on the levels of the independent variables. What types of data (nominal, ordinal, interval, ratio)?), and interaction effects between independent variables. You should also discuss the assumptions of each test. No data is required to be presented. This is similar to a question that you will encounter in your Doctoral Comprehensive Exams. You should provide information that shows your understanding of the different types of analyses, as well as possible outcomes of the analyses. In addition, you have to include in your discussion the possible conclusions based on the possible results; rejecting the null, and not rejecting the null. Using this information, develop the following foundational components for a proposed analysis:A relationship research question involving GPA and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.A relationship research question involving gender, GPA, and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.An effect research question involving gender and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.An effect research question involving gender, GRE score, and degree completion frequency; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings.Finalize your report with a written analysis of your results and recommendations for the dean based on your findings.Support your assignment with at least five scholarly resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included.Length: 12 pages, not including title and reference pagesattached is a reporting stats in apa style

Calculus Final #1-20.docx  i already have the answers to 3, 4, 5, 6 ,9