Lilly collects data on a sample of 40 high school students to evaluate whether the proportion of female high school students who take advanced math courses in high school varies depending upon whether they have been raised primarily by their father or by both their mother and their father. Two variables are found below in the data file: math (0 = no advanced math and 1 = some advanced math) and Parent (1= primarily father and 2 = father and mother). Parent Math 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 2.0 0.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 1.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 2.0 0.0 a) Conduct a crosstabs analysis to examine the proportion of female high school students who take advanced math courses is different for different levels of the parent variable. How do I figure this?

Question

Lilly collects data on a sample of 40 high school students to evaluate whether the proportion of female high school students who take advanced math courses in high school varies depending upon whether they have been raised primarily by their father or by both their mother and their father.  Two variables are found below in the data file: math (0 = no advanced math and 1 = some advanced math) and Parent (1= primarily father and 2 = father and mother).   Parent		Math 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 1.0		0.0 2.0		0.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		1.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0 2.0		0.0  a)	Conduct a crosstabs analysis to examine the proportion of female high school students who take advanced math courses is different for different levels of the parent variable. How do I figure this?

Explain Bot · Answer

To conduct a crosstabs analysis and examine the proportion of female high school students who take advanced math courses for different levels of the parent variable, you can follow these steps: Step 1: Organize the data The provided data contains two variables: Parent and Math. Create a table or spreadsheet to organize this data. Label the columns as "Parent" and "Math" and enter the corresponding values for each student. Step 2: Calculate proportions Calculate the proportion of female high school students who take advanced math for each level of the parent variable. To do this, filter the data based on Parent values (1 and 2) and count how many instances of Math = 1 (some advanced math) occur for each level. Divide this count by the total number of students for that level to obtain the proportion. Step 3: Perform crosstabs analysis Use a crosstabs analysis (also known as a contingency table) to compare the proportions across different levels of the parent variable. This analysis will show you whether there is an association between the two variables (Parent and Math) and if the proportion of female high school students who take advanced math courses differs across the parent levels. You can use statistical software like Excel, SPSS, or R to perform the crosstabs analysis. In Excel, you can use the PivotTable feature, and in SPSS or R, you can use the appropriate functions or commands for contingency tables. The crosstabs analysis will provide you with a table that displays the counts and percentages of students in each combination of Parent and Math values, allowing you to compare the proportions easily. Remember, since the data contains only two variables, you will analyze the difference between the proportions across the two levels of the Parent variable.