A high school physics teacher wondered if his students in the senior class this year will be more likely to go into STEM majors than Social Science and Liberal Arts major. 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 What is the variable in this test? What type of variable is it, and what are the null and alternative hypothesis?

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A high school physics teacher wondered if his students in the senior class this year will be more likely to go into STEM majors than Social Science and Liberal Arts major. 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 What is the variable in this test? What type of variable is it, and what are the null and alternative hypothesis?
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Step 1: Given information:

The chi-square test for goodness of fit was conducted by the high school physics teacher. 

The observed frequencies are as follows:

Majorsnumber of Students. 
STEM20
Social Sciences20
Liberal Arts10

The total number of observations is 50. 

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