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question
in a math class with 23 students, a test was given the same day that an assignment was due. there were 13 students who passed the test and 14 students who completed the assignment. there were 6 students who failed the test and also did not complete the assignment. what is the probability that a student chosen randomly from the class passed the test or completed the assignment?
Step1: Define the sets
Let \( P \) be the set of students who passed the test, \( C \) be the set of students who completed the assignment. We know \( |P| = 13 \), \( |C| = 14 \), and \( |P \cap \overline{C}| = 6 \) (students who failed the test and did not complete the assignment? Wait, no, the problem says "6 students who failed the test and also did not complete the assignment". Wait, total students \( N = 23 \). Wait, maybe we need to find \( |P \cup C| \).
First, let's find the number of students who passed or completed the assignment. The formula for the union of two sets is \( |P \cup C| = |P| + |C| - |P \cap C| \). But we also know that the number of students who failed the test and did not complete the assignment is 6. So the number of students in \( P \cup C \) is total students minus those who are in neither, i.e., \( N - |\overline{P} \cap \overline{C}| = 23 - 6 = 17 \)? Wait, no, the problem says "6 students who failed the test and also did not complete the assignment". So \( |\overline{P} \cap \overline{C}| = 6 \). Therefore, \( |P \cup C| = N - |\overline{P} \cap \overline{C}| = 23 - 6 = 17 \)? Wait, but let's check with the other numbers. \( |P| = 13 \), \( |C| = 14 \). Then \( |P \cup C| = 13 + 14 - |P \cap C| \). Also, \( |P \cup C| = 23 - 6 = 17 \). So \( 13 + 14 - |P \cap C| = 17 \), so \( |P \cap C| = 13 + 14 - 17 = 10 \). But maybe we don't need that. The probability is \( \frac{|P \cup C|}{N} = \frac{23 - 6}{23} = \frac{17}{23} \)? Wait, no, wait the problem says "a student chosen randomly from the class passed the test or completed the assignment". So the number of students who passed or completed is total minus those who neither passed nor completed. The number of those who neither is 6 (failed test and did not complete assignment). So \( |P \cup C| = 23 - 6 = 17 \). Wait, but let's check with the given numbers. \( |P| = 13 \) (passed test), \( |C| = 14 \) (completed assignment). The number of students who passed or completed is \( 13 + 14 - |P \cap C| \). But also, the number of students who neither is 6, so \( |P \cup C| = 23 - 6 = 17 \). Therefore, \( 13 + 14 - |P \cap C| = 17 \implies |P \cap C| = 10 \). But regardless, the number of students who passed or completed is 17? Wait, no, 23 total, 6 neither, so 23 - 6 = 17. So the probability is \( \frac{17}{23} \)? Wait, but that doesn't match. Wait, maybe I misread. The problem says "13 students who passed the test", "14 students who completed the assignment", "6 students who failed the test and also did not complete the assignment". So total students: 13 (passed) + (failed) = 23. Failed students: 23 - 13 = 10. Of these failed students, 6 did not complete the assignment, so failed and completed: 10 - 6 = 4. Similarly, completed students: 14, so completed and passed: 14 - (failed and completed) = 14 - 4 = 10. Then passed students: 13, so passed and not completed: 13 - 10 = 3. Wait, but the problem says "6 students who failed the test and also did not complete the assignment". So failed (10) = failed and completed (4) + failed and not completed (6). That adds up. Then passed and not completed: 3, passed and completed: 10, failed and completed: 4, failed and not completed: 6. Now, passed or completed: passed (13) + completed (14) - passed and completed (10) = 17. So the number of students who passed or completed is 17. Therefore, the probability is \( \frac{17}{23} \)? Wait, but the problem statement is a bit confusing. Wait, let's re-express:
Total students: 23.
Number of students who passed the test (P): 13.
Number of students who completed the assignm…
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$\frac{21}{23}$