Research Question: Is there a relationship between college graduation and parental education? Provide following: Improved research question based on original research question from below. Feel free to refine or make the variables more specific for your assignment. Identify the variables, including the following: Variables (ex: gender, GPA) Are the variables numeric or categorical (ex: Gender is categorical; GPA is numeric) If the variable is categorical, then provide the categories/groups that make up that variable (ex: For gender, the groups would be female, male, and other) If the variable is numeric, then provide the range of possible values (ex: GPA is measuring the person's college GPA score) Correctly worded hypothesis (null & alternative) What statistical test should be used to analyze this hypothesis, and why is that test the most appropriate? Statistical Test Options: Chi-square, Correlation, Spearman correlation, Independent samples t-test, ANOVA, Linear Regression, Multiple Regression. [Note: You can only use one of these tests for this assignment, unless you get permission from the instructor.] Remember, the statistical test has to match the type of variables you have. Ex: You cannot do a correlation between gender and GPA because gender is categorical. For a correlation, you need two numeric variables. Instead, you could do an ANOVA because there is a categorical variable with three groups and one numeric variable. What type of statistical results would the analysis of your RQ include? How do you interpret these results? (Examples of things to explain in this section: t, F, X2, r, r2, degrees of freedom, p-value, any supplemental tests as needed) Have at least one citation (peer-reviewed and/or textbook) to support your choice of test.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Research Question: Is there a relationship between college graduation and parental education? Provide following: Improved research question based on original research question from below. Feel free to refine or make the variables more specific for your assignment. Identify the variables, including the following: Variables (ex: gender, GPA) Are the variables numeric or categorical (ex: Gender is categorical; GPA is numeric) If the variable is categorical, then provide the categories/groups that make up that variable (ex: For gender, the groups would be female, male, and other) If the variable is numeric, then provide the range of possible values (ex: GPA is measuring the person's college GPA score) Correctly worded hypothesis (null & alternative) What statistical test should be used to analyze this hypothesis, and why is that test the most appropriate? Statistical Test Options: Chi-square, Correlation, Spearman correlation, Independent samples t-test, ANOVA, Linear Regression, Multiple Regression. [Note: You can only use one of these tests for this assignment, unless you get permission from the instructor.] Remember, the statistical test has to match the type of variables you have. Ex: You cannot do a correlation between gender and GPA because gender is categorical. For a correlation, you need two numeric variables. Instead, you could do an ANOVA because there is a categorical variable with three groups and one numeric variable. What type of statistical results would the analysis of your RQ include? How do you interpret these results? (Examples of things to explain in this section: t, F, X2, r, r2, degrees of freedom, p-value, any supplemental tests as needed) Have at least one citation (peer-reviewed and/or textbook) to support your choice of test.

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