if power is 90%, this implies that you have: -a 90% chance of making a type 1 error - a 90% chance of making a type 2 error - a 90% chance of finding significance given a real effect -a 10% chance of making the correct decision

if power is 90%, this implies that you have: -a 90% chance of making a type 1 error - a 90% chance of making a type 2 error - a 90% chance of finding significance given a real effect -a 10% chance of making the correct decision

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Bus-173 (Applied Statistics) :
Consider a medical test with a false positive rate of 1% and a false negative rate of 2%. The frequency of the condition in people who take this test is 3% Q4. If this test was given to 100,000 healthy people, how many false diagnoses would there be? Q5. What is the overall percentage of people who test "positive" who are actually negative for the condition? Q6. What is the overall percentage of people who test "negative" who are actually positive for the condition? # wrong diag. = ??? % pos. = ??? % % pos. = ??? %
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