Answer:
The probability that a randomly chosen person gets an incorrect diagnosis is 2.965% = 0.02965.
Step-by-step explanation:
Given, The test to detect the presence of a liver disorder is 98% accurate for a person who has the disease.
so, probability of incorrect diagnosis = 100-98 = 2% = 0.02.
and 97% accurate for a person who does not have the disease.
so, probability of incorrect diagnosis = 100-97 = 3% = 0.03.
And 3.5% of the people in a given population actually have the disorder.
⇒ the probability that a randomly chosen person gets an incorrect diagnosis is (3.5% × 0.02) + (96.5% × 0.03) = 2.965% = 0.02965.
Answer:
The answer is given below
Step-by-step explanation:
Z score is used to measure by how many standard deviations the raw score is above or below the mean. It is given by the formula:

For the male:
μ = 3259.8 g, σ = 869.7 g
Hence for a male who weighs 1600 g, the z score is:

For the female:
μ = 3000.9 g, σ = 550.8 g
Hence for a female who weighs 1600 g, the z score is:

Since the z score for the male is z= -1.91 and the z score for the female is z= -2.54 the male has the weight that is more extreme.
Answer:
9/4
Step-by-step explanation:
Take the fraction and flip it
4/9
The reciprocal is 9/4
I got three numbers ...
798, 1726, & 2654
Answer:
16 years
Step-by-step explanation:
1.7% of 2000 is $34
$544 divided by $34 = 16 years, that is if the interest is yearly and not monthly though