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liraira [26]
3 years ago
6

Alex wants to test the reliability of “lie detector tests,” or polygraph tests. He performs a polygraph test on a random sample

of 12 individuals. If there is more than a 50% chance that the tests result in no false positives (that is, the test does not result in a true statement being recorded as a lie), Alex will conclude that the tests are reliable. If the probability of a lie detector test resulting in a false positive is 5.5%, what will Alex conclude? Use Excel to find the probability, rounding to three decimal places.
Mathematics
1 answer:
VladimirAG [237]3 years ago
4 0

The correct statement is test is reliable and authentic as the probability of no false positives is more than 0.5

Given that

H_o:P= 0.50\\\\H_1:P>0.50

Now following calculations to be done to reach out the conclusion

There is no false positive as

= 100 - 5.5

= 94.5%

\hat P =0.945, n = 12

Now

z = \frac{\hat P - P}{\sqrt\frac{P(1-P)}{n} }\\\\=\frac{0.945-0.5}{\sqrt\frac{0.5\times0.5}{12} }  \\\\= 3.08

So

P value = P(z >3.08) = 0.0010

Therefore we can conclude that test is reliable and authentic as the probability of no false positives is more than 0.5

Learn more about the polygraph test here:

brainly.com/question/3790493

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Answer:

7(100-1)

Step-by-step explanation:

That's it right there

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3 years ago
Suppose the heights of women at a college are approximately Normally distributed with a mean of 66 inches and a population stand
Kaylis [27]

Answer:

z=-1.28

And if we solve for a we got

a=66 -1.28*1.5=64.08

So the value of height that separates the bottom 10% of data from the top 90% is 64.08.

The graph attached illustrate the situation.

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(66,1.5)  

Where \mu=66 and \sigma=1.5

For this part we want to find a value a, such that we satisfy this condition:

P(X>a)=0.90   (a)

P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.10 of the area on the left and 0.90 of the area on the right it's z=-1.28. On this case P(Z<1.64)=0.95 and P(z>1.64)=0.05

If we use condition (b) from previous we have this:

P(X  

P(z

But we know which value of z satisfy the previous equation so then we can do this:

z=-1.28

And if we solve for a we got

a=66 -1.28*1.5=64.08

So the value of height that separates the bottom 10% of data from the top 90% is 64.08.

The graph attached illustrate the situation.

 

5 0
3 years ago
What is 3(4 plus 7) -5•4 divided by 2
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I am not positive, but I believe 23. sorry in advance if I’m wrong.
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Answer:

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Step-by-step explanation:

6h-1=3

add one to each side

6h=4

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h=4/6

Simplify (divide by 2)

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Identify the property used in each step of solving the inequality 3x-2&gt; -4
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