Question

In: Statistics and Probability

The Culminating Project Offering career academies in high schools has become more popular during the past...

The Culminating Project

Offering career academies in high schools has become more popular during the past 30 years because they help students prepare for work and postsecondary education. A principal at a large high school with a Science, Technology, Engineering, and Mathematics (STEM) Academy is interested in determining whether the status of a student is associated with level of participation in advanced placement (AP) courses. Student status is categorized as (1) STEM for students in the STEM program or (2) regular. A simple random sample of 200 students in the high school was taken and each student was asked two questions:

  1. Are you in the STEM Academy?

  2. In how many AP courses are you currently enrolled?

The responses of the 200 students are summarized in the table.

Level of Participation in Advanced Placement (AP) Courses

Student Status

STEM

Regular

Total

No AP courses

17

31

48

One AP course

38

70

108

Two or more AP courses

20

24

44

Total

75

125

200

Part A: Calculate the proportion of STEM students who participate in at least one AP course and the proportion of regular students in the sample who participate in at least one AP course.

Part B: Is participating in two or more AP courses independent of student status?

Part C: Describe a method that could have been used to select a simple random sample of 200 students from the high school.

Part D: Is there any reason to believe there is bias in the method that you selected? Why or why not?

Part E: The responses of the 200 students are summarized in the segment bar graph shown.

Compare the distributions and what the graphs reveal about the association between level of participation in AP courses and student status among the 200 students in the sample. (5 points)

Part F: Do these data support the conjecture that student status is related to level of participation in AP courses? Give appropriate statistical evidence to support your conclusion. (10 points)

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