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kykrilka [37]
2 years ago
15

the change in water vapor in a cloud is modeled by a polynomial function, c (x). describe how to find the x - intercepts of c (x

) and how to construct a rough graph of c (x) so that that the meteorologist can predict when there will be no change in water vapor. you may create a sample polynomial to be used in your explanation.!! Please Help
Mathematics
1 answer:
vodomira [7]2 years ago
8 0
Umm do u have any answer choices


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Direct Mailing Company sells computers and computer parts by mail. The company claims that more than 90% of all orders are maile
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We conclude that less than or equal to 90% of all orders are mailed within 72 hours after they are received which means the company's claim is not true.

Step-by-step explanation:

We are given that the company claims that more than 90% of all orders are mailed within 72 hours after they are received. The quality control department at the company often takes samples to check if this claim is valid.

A recently taken sample of 175 orders showed that 161 of them were mailed within 72 hours.

<u><em>Let p = percentage of all orders that are mailed within 72 hours.</em></u>

SO, Null Hypothesis, H_0 : p \leq 90%   {means that less than or equal to 90% of all orders are mailed within 72 hours after they are received}

Alternate Hypothesis, H_A : p > 90%   {means that more than 90% of all orders are mailed within 72 hours after they are received}

The test statistics that will be used here is <u>One-sample z proportion</u> <u>statistics</u>;

                                T.S.  = \frac{\hat p-p}{{\sqrt{\frac{\hat p(1-\hat p)}{n} } } } }  ~ N(0,1)

where, \hat p = proportion of orders that were mailed within 72 hours in a sample of 175 =  \frac{161}{175}\times 100  = 92%

           n = sample of orders = 175

So, <u><em>test statistics</em></u>  =  \frac{0.92-0.90}{{\sqrt{\frac{0.92(1-0.92)}{175} } } } }

                               =  0.975

The value of the test statistics is 0.975.

<em>Now at 1% significance level, the z table gives critical value of 2.3263 for right-tailed test. Since our test statistics is less than the critical value of z as 0.975 < 2.3263, 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 less than or equal to 90% of all orders are mailed within 72 hours after they are received which means the company's claim is not true.

6 0
2 years ago
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