Question

Thank you for your response to my first question.

COULD YOU PLEASE ASSIGN SOMEONE ELSE TO HELP ME?

I HAVE BEEN ASKING FOR HELP FOR SEVERAL HOURS. THIS IS A FICTITIOUS STUDY. ALL OF THE INFORMATION THAT I WAS GIVEN IS BELOW. PLEASE READ IT.

For part #2, when comparing gender, GPA, and GRE test scores, would the statistical analysis be a one-way Anova, a two-way Anova, or a different test?.(See complete assignment below.)

Using this information, develop the following foundational components for a proposed analysis:

1. 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.
2. 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.
3. 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.
4. 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.
5. Finalize your report with a written analysis of your results and recommendations for the dean based on your findings.

I have added the entire assignment. I am working on #2.
I have included the information and my question. It is in bold lettering.

Answer 1

Null and aternative hypotheses H: A non-significant relationship will exist between gender and acadenic achievement (GPA and GRE scores) Ha: A significant relations hip will exist between gender and academic achievement (GPA and GRE scores) The type of statistical analysis: A binary ogistic regression method (Forward LR) is commonly used for predicting cate gorical dependent variablk when discriminant analysis does not meet basic assumptions. Dependent variabes inchuded GPA and GRE test scores whereas gender repre sented the independent variable. In this scenario, GPA and GRE test scores (predictors) were used to predict an outcome (Knapp, 2017 Michaelson, G., & Hardin, 2012; Sakind, 2007; Stone, 2010) Explanatio ns of fic titious outcomes: Researchers would reject the Ho and accept the H Data woukd show (R256), for example, that gender, cumulative GpA, and GRE test scores were statistically significant predictors of student enollment in cole ge and univers ity STEM majors? Test scores for men were higher than those for women (other factors of equal variances and values). Recommendations based on non-significant and significant findings: The data povide an understanding of factors that affect academic enrollme nt in STEM related mjors. However, limitations of the study include convenience sampling (small non-random sample siz) which inhibits generaization.