Purchase Solution

Probability

Not what you're looking for?

Ask Custom Question

Medical studies have shown that 10 out of 100 adults have heart disease. When a person with heart disease is given an EKG test, a 0.9 probability exists that the test will indicate the presence of heart disease. When a person without heart disease is given an EKG test, a 0.95 probability exists that the test will indicate the person does not have heart disease. Suppose that a person arrives at an emergency room com-plaining of chest pains. An EKG is given and indicates that the person has heart dis-ease. What is the probability that the person actually has heart disease?

Purchase this Solution
Solution Summary

The required probability is calculated.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

View More Free Quizzes
Related BrainMass Solutions

  • Posterior probability

    43944 Posterior probability Using the following information about the accuracy of a market research firm: Probability of a favorable study given a favorable market = 0.7 Probability of an unfavorable study given a favorable market = 0.3 Probability

  • Probability of failure of components

    Probability that both components fail = Probability that A fails x Probability that A fails=p1 x p2= 0.02 =0.1*0.2 Answer: 0.02 B) What is the probability that only one of the components will fail?

  • Difference in discrete & continous probability distribution

    Continuous probability distribution: Continuous probability distribution is an infinite probability distribution used to find probability for a continuous range of values.

  • Standard Normal Distribution Table

    29891 Standard Normal Distribution Table Use the Normal Table to find the following: a) Probability (z < -2.65) b) Probability (z > -1.55) c) Probability (-2.00 < z < 2.25) d) Probability ( 1.25 < z < 2.40) Please show the steps you used to get

  • Bayes Theorem

    Probability (Pass) =Probability (Pass|Complete) x Probability ( Complete) + Probability (Pass|Not Complete) x Probability ( Not Complete) = 84.00% =90.% x 80.% + 60.% x 20.% Probability (Pass and Complete)=Probability (Pass

  • Statistics - Binomial Probability for a University

    Thank you Solution (1) Probability that one student will withdraw Probability that two students will withdraw Probability that two or fewer will withdraw =0.2060 Probability that Exactly four will withdraw =0.2182 Probability that three or fewer

  • Joint probability/Conditional Probability

    Bedouin Farima Total Abu Ilan 20 20 40 El Kamin 32 8 40 Probability of Spotting a bedouin = Probability of selecting Abu Ilan x Probability of selecting a Bedouin in Abu Ilan +Probability of selecting El Kamin x Probability of

  • Probability and Probability Density

    What are differences between probability and probability density? Definition of probability: The probability of an event is the measurement of how likely this event will happen.

  • Bayes Theorem

    Probability of knowing the answer = p Probability of Guessing = (1-p) Probability of being correct when the student knows the answer= 1/m Probability of answering the question correctly = Probability that the student knows the answer and answers

  • Binomial probability distribution

    This is binomial probability distribution Probability of a defective diskette = p= 0.01 Therefore probability that the diskette is not defective= q= 1-p= 1-0.01=0.99 Probability that in a package of 10 diskettes will have r defective diskettes =

View More Related Solutions