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sweet-ann [11.9K]
4 years ago
15

Choose the correct definition. Group of answer choices Sensitivity refers to the probability that a test correctly classifies as

positive individuals who have preclinical disease. Sensitivity refers to the probability that a test correctly classifies individuals without preclinical disease as negative Specificity refers to the probability that a test correctly classifies individuals with preclinical disease as positive Specificity refers to the probability that a test correctly classifies as positive individuals who have preclinical disease.
Mathematics
1 answer:
Paraphin [41]4 years ago
3 0

Answer:

the probability that a test correctly classifies as positive individuals who have preclinical disease

Step-by-step explanation:

Sensitivity represents the true positive percentage

Lets take an example if there is 90% sensitivity that means there are 90% people who have the target disease considered the test positive

So according to the given options, it is the probability in which if the test is done in a correct manner so this means that the positive individuals have the preclinical disease

Therefore the first option is correct

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Agata [3.3K]

Answer:

A. 8.0 inches

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3 0
3 years ago
Fraction with a denominator of 10 can be written as an equivalent fraction with
AVprozaik [17]

Answer:

9/10 is 90%

Step-by-step explanation:

You just make it a percentage

5 0
3 years ago
What is the solution of the inequality?
OleMash [197]
Multiply both sides by 5 to go from this
x/5 >= -2
to this
x >= -10

The notation ">=" without quotes means "greater than or equal to"

To graph this, plot -10 on the number line as a closed circle. Shade to the right of this closed circle. The shaded region represents all the solutions to the original inequality. 

Final Answer: Choice D
4 0
3 years ago
Find the upper 20%of the weight?
meriva

Answer:

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Upper 20% of weights:

The upper 20% of the weighs are weighs of at least X, which is found when Z has a p-value of 0.8. So X when Z = 0.84. Then

Z = \frac{X - \mu}{\sigma}

0.84 = \frac{X - \mu}{\sigma}

X = 0.84\sigma + \mu

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

6 0
3 years ago
Divide and simplify. Give your answer using positive exponent. Leave your answer in exponential notation.
yaroslaw [1]

Answer:

14⁻⁵

Step-by-step explanation:

Dividing two exponents with the same base has the effect of <em>subtracting</em> the bottom exponent from the top one. Following that rule, we can simplify our fraction like this:

\dfrac{14^{-3}}{14^2}=14^{-3-2}=14^{-5}

3 0
3 years ago
Read 2 more answers
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