Suppose You Have Data That Shows That 12% Of Athletes Test Positive For Steroids. You Also Know That 11% Of Athletes Test Positive For Steroids And Actually Use Steroids. What Is The Probability That An Athlete Uses Steroids, Given That He Tests Positive?

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Suppose You Have Data That Shows That 12% Of Athletes Test Positive For Steroids. You Also Know That 11% Of Athletes Test Positive For Steroids And Actually Use Steroids. What Is The Probability That An Athlete Uses Steroids, Given That He Tests Positive?. That is, if an athlete is using a steroid, the test will be positive 95% of. Probability that an athlete uses steroids given that he tests positive is 91.6%.

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A = athletes test positive, b = athletes who use steroids 2 use bayes' theorem: Suppose that a company claims it has a test that is 95% effective in determining whether an athlete is using a steroid. Let the total number of athletes be 'x'.

Probability That An Athlete Uses Steroids Given That He Tests Positive Is 91.6%.

When a test for steroids is given to soccer players, 98\(\%\) of the players taking steroids test positive and 12\(\%\) of the players not taking steroids test positive. What is the probability that an athlete uses steroids, given that he tests positive? We know that 10% of the athletes tested on a certain day have taken steroids.

A Manufacturer Claims That Its Drug Test Will Detect Steroid Use (That Is, Show Positive For An Athlete Who Uses.

You also know that 11% of athletes test positive for steroids and actually use steroids. And let 'p' denotes the probability. A = athletes test positive, b = athletes who use steroids 2 use bayes' theorem:

That Is, If An Athlete Is Using A Steroid, The Test Will Be Positive 95% Of.

Let a shows the event that a athlete test positive for steroids. Suppose that a company claims it has a test that is 95% effective in determining whether an athlete is using a steroid. P(f|e) = probability that an athlete uses steroids given that the test is positive.

Let The Total Number Of Athletes Be 'X'.

If we know the test is accurate, what is the probability that an athlete did not take steroids? When a test for steroids is given to soccer players, 98% of the players taking steroids test positive and 12% of the players not taking steroids test positive. P(b|a) = 1 * 0.11 / 0.12

P(B|A) = P(A|B) * P(B) / P(A) 3 Substitute Values:

Let a be the event that athletes test positive for steroids.

Suppose you have data that shows that 12% of athletes test positive for steroids. you also know that 11% of athletes test positive for steroids and actually use steroids. what is the probability that an athlete uses steroids, given that he tests positive?