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kykrilka [37]
3 years ago
10

Please help(ik it’s not c)

Mathematics
2 answers:
Talja [164]3 years ago
6 0
The answer is A. 45 degrees
ICE Princess25 [194]3 years ago
6 0

Answer:

Its A

Step-by-step explanation:

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Step-by-step explanation:

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9514 1404 393

Answer:

  P(F|A) = 35%

Step-by-step explanation:

P(F|A) = P(F&A)/P(A) = 7%/20% = 0.35

P(F|A) = 35%

_____

The given numbers will let you fill in a table for all of the categories of workers. However, it turns out this question can be answered using only the numbers given in the problem statement.

6 0
3 years ago
A substance abuse researcher wants to know whether reaction time is decreased by frequent alcohol use. He randomly selects 164 a
ella [17]

Answer:

We conclude that the reaction time is increased or remains same by frequent alcohol use.

Step-by-step explanation:

We are given that a substance abuse researcher wants to know whether reaction time is decreased by frequent alcohol use. He randomly selects 164 alcoholics and finds that their mean reaction time (in ms) to a stimulus equals 283.

Reaction times to the stimulus in the general population are distributed normally with a mean equal to 281 and a standard deviation equal to 28.

<u><em>Let </em></u>\mu<u><em> = mean reaction time after alcohol use.</em></u>

So, Null Hypothesis, H_0 : \mu \geq 281      {means that the reaction time is increased or remains same by frequent alcohol use}

Alternate Hypothesis, H_A : \mu < 281      {means that the reaction time is decreased by frequent alcohol use}

The test statistics that would be used here <u>One-sample z test statistics</u> as we know about population standard deviation;

                    T.S. =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n}}}  ~ N(0,1)

where, \bar X = sample mean reaction time (in ms) = 283

            \sigma = population standard deviation = 28

            n = sample of alcoholics = 164

So, <u><em>test statistics</em></u>  =  \frac{283-281}{\frac{28}{\sqrt{164}}}  

                              =  0.915

The value of z test statistics is 0.915.

<em>Now, at 0.01 significance level the z table gives critical value of -2.3263 for left-tailed test.</em><em> Since our test statistics is more than the critical values of z, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which </em><em><u>we fail to reject our null hypothesis</u></em><em>.</em>

Therefore, we conclude that the reaction time is increased or remains same by frequent alcohol use.

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3 years ago
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One is hundred the other is tens and the last is ones    Eight thousand four hundred forty four
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