The probability that a person has a certain disease is 0.03. medical diagnostic tests are available to determine whether the person actually has the disease. if the disease is actually present, the probability that the medical diagnostic test will give a positive result (indicating that the disease is present) is 0.92. of the disease is not actually present, the probability of a positive test result (indicating that the disease is present) is 0.01. a. if the medical diagnostic test has given a positive result (indicating that the disease is present), what is the probability that the disease is actually present

0.74

Step-by-step explanation:

A= "The person is sick "

B= "The test gives a positive result"

P(A)=0.03

P(B|A)=0.92

P(B|A')=0.01

P(A')=1-P(A)=1-0.03=0.97

P(B)=P(B|A)P(A)+P(B|A')P(A')=0.92*0.03+0.01*0.97=0.0373

Based in Bayes Rule

P(A|B)=P(B|A)P(A)/P(B)=0.92*0.03/0.0373=0.74

ok

step-by-step explanation:

the solution of the equation is 2.23 ⇒ answer b

step-by-step explanation:

* lets revise the meaning of exponential function

- the form of the exponential function is y = ab^x, where a ≠ 0, b > 0 ,  

  b ≠ 1, and x is any real number

- it has a constant base b

- it has a variable exponent x

- to solve an exponential equation, take the log or ln of both sides,  

  and solve for the variable

* lets solve the problem

∵

- the base is 7 and the exponent is x

- insert ㏑ in both sides

∴

- use the rule

∴ x ㏑(7) = ㏑(77)

- to find x divide both sides by ㏑(7)

∴

* the solution of the equation is 2.23 to the nearest 2 decimal places