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A table represents the number of students who passed or failed an aptitude test at two different campuses.East Campus West CampusPassed 48 37Failed 52 63In order to determine if there is a significant difference between campuses and pass rate, the chi-square test for association and independence should be performed.What is the expected frequency of West Campus and failed?50 students63 students50.7 students57.5 students

Question

A table represents the number of students who passed or failed an aptitude test at two different campuses.East Campus West CampusPassed 48 37Failed 52 63In order to determine if there is a significant difference between campuses and pass rate, the chi-square test for association and independence should be performed.What is the expected frequency of West Campus and failed?50 students63 students50.7 students57.5 students

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Solution

To calculate the expected frequency for the West Campus and failed students, we need to follow these steps:

  1. Calculate the total number of students who failed, regardless of the campus. This is 52 (from East Campus) + 63 (from West Campus) = 115.

  2. Calculate the total number of students at West Campus, regardless of whether they passed or failed. This is 37 (passed) + 63 (failed) = 100.

  3. Calculate the total number of students in both campuses. This is 48 (passed at East) + 52 (failed at East) + 37 (passed at West) + 63 (failed at West) = 200.

  4. The expected frequency is then (total failed * total at West Campus) / total students = (115 * 100) / 200 = 57.5 students.

So, the expected frequency of students who failed at West Campus is 57.5 students.

This problem has been solved

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