A test for ovarian cancer has a 4 percent rate of false positives and a 1 percent rate of false negatives. On average, 1 in every 5,000 American women over age 35 actually has ovarian cancer. If a woman over 35 tests positive, what is the probability that she actually has cancer? Hint: Make a contingency table for a hypothetical sample of 100,000 women. (Round your answer to 5 decimal places.) Probability_________

A test for ovarian cancer has a 4 percent rate of false positives and a 1 percent rate of false negatives. On average, 1 in every 5,000 American women over age 35 actually has ovarian cancer. If a woman over 35 tests positive, what is the probability that she actually has cancer? Hint: Make a contingency table for a hypothetical sample of 100,000 women. (Round your answer to 5 decimal places.) Probability_________

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 15CR

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Question

A test for ovarian cancer has a 4 percent rate of false positives and a 1 percent rate of false negatives. On average, 1 in every 5,000 American women over age 35 actually has ovarian cancer.

If a woman over 35 tests positive, what is the probability that she actually has cancer? Hint: Make a contingency table for a hypothetical sample of 100,000 women. (Round your answer to 5 decimal places.)

Probability_________

Definition Definition Visual representation of the relationship between two or more categorical variables. A contingency table is a categorical version of the scatterplot, which is used to visualize the linear relationship between two variables.

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