What are the variables, what scale of measurement is each variable (nominal,ordinal,or continuous). Then state the null and alternative hypothesis in words.

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What are the variables, what scale of measurement is each variable (nominal,ordinal,or continuous). Then state the null and alternative hypothesis in words.
A high school physics teacher wondered if his students in the senior class this year will be more likely
PSY230 Miller
to go into STEM (Science, Technology, Engineering, Mathematics) majors than Social Science and
Liberal Arts majors. He asked each of his 50 students about their first choice for major on their college
applications and conducted a Chi-square test for goodness of fit with an alpha level of .05 to see if the
number of students choosing each category differs significantly.
20 - STEM
20 - Social Sciences
10- Liberal Arts
●
Spring A 2023
●
Transcribed Image Text:A high school physics teacher wondered if his students in the senior class this year will be more likely PSY230 Miller to go into STEM (Science, Technology, Engineering, Mathematics) majors than Social Science and Liberal Arts majors. He asked each of his 50 students about their first choice for major on their college applications and conducted a Chi-square test for goodness of fit with an alpha level of .05 to see if the number of students choosing each category differs significantly. 20 - STEM 20 - Social Sciences 10- Liberal Arts ● Spring A 2023 ●
Q3) Chi-Square Test for Independence
This question is an extension from Q2 above. The high school teacher was also interested in whether
there is a gender difference in terms of the student's choice of majors. So he broke the data down by
gender in the following table and conducted a Chi-square test for independence with a = .05.
Type of Major
STEM
Social Sciences
Liberal Arts
Female
8
10
8
Male
12
10
D
Total
20
20
10
a. What are the variables in this analysis? What scale of measurement is each variable (nominal, ordinal,
or continuous)?
Transcribed Image Text:Q3) Chi-Square Test for Independence This question is an extension from Q2 above. The high school teacher was also interested in whether there is a gender difference in terms of the student's choice of majors. So he broke the data down by gender in the following table and conducted a Chi-square test for independence with a = .05. Type of Major STEM Social Sciences Liberal Arts Female 8 10 8 Male 12 10 D Total 20 20 10 a. What are the variables in this analysis? What scale of measurement is each variable (nominal, ordinal, or continuous)?
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