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Naily [24]
3 years ago
8

An insurance company sets up a statistical test with a null hypothesis that the average time for processing a claim is 7 days, a

nd an alternative hypothesis that the average time for processing a claim is greater than 7 days.
After completing the statistical test, it is concluded that the average time exceeds 7 days.

However, it is eventually learned that the mean process time is really 9 days.

What type of error occurred in the statistical test?
Mathematics
1 answer:
JulsSmile [24]3 years ago
4 0

Answer:

There was no error

Step-by-step explanation:

There are two types of statistical errors, the type 1 error and the type 2 error. In this case we refute the null hypothesis when the hypothesis is, in fact, false, because the mean process is 9 days instead of 7. Therefore we made no errors.

If the null hypothesis were True, a type 1 error would have ocurred. If the null hypothesis were false and we didnt refute it, then a type 2 error would have ocurred.

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Simplify the expression by combining like terms.<br> 7.2(x + 3) + 4(x - 3)
siniylev [52]

Answer: 11.2x -9.6

Step-by-step explanation:

7.2(x + 3) + 4(x - 3) -  12       - 7.2* (x + 3) + + 4*(x - 3) then

7.2x + 21.6 + 4x -  12  - Combining like terms 7.2x+ 4x  and numbers + 21.6-  12          

7.2x + 4x +21.6 -12       Then we have

11.2x -9.6

3 0
3 years ago
4x-5.2y + 6y + 7.9x - 8x
Ipatiy [6.2K]

Answer:

3.9x + 0.8y

Step-by-step explanation:

this is your answer

5 0
3 years ago
Suppose the round-trip airfare between Philadelphia and Los Angeles a month before the departure date follows the normal probabi
QveST [7]

Answer:

52.74% probability that a randomly selected airfare between these two cities will be between $325 and $425

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

\mu = 387.20, \sigma = 68.50

What is the probability that a randomly selected airfare between these two cities will be between $325 and $425?

This is the pvalue of Z when X = 425 subtracted by the pvalue of Z when X = 325. So

X = 425

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

Z = \frac{425 - 387.20}{68.50}

Z = 0.55

Z = 0.55 has a pvalue of 0.7088

X = 325

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

Z = \frac{325 - 387.20}{68.50}

Z = -0.91

Z = -0.91 has a pvalue of 0.1814

0.7088 - 0.1814 = 0.5274

52.74% probability that a randomly selected airfare between these two cities will be between $325 and $425

7 0
3 years ago
Pls Help Will Mark Brainliest for quickest accurate answer and explanation!!
Furkat [3]

Answer:

The number of chicken and cows should be 19 and 11.

Step-by-step explanation:

The number of chicken and cows should be 19 and 11.

Given that,

The farm has 30 chickens and cows, and there are 82 chicken and cow legs all together.

Let x represent the number of chickens in the farm.

Let y represent the number of cows in the farm.

Based on the above information, the calculation is as follows:

x + y = 30

Since a chicken has 2 legs and a cow has 4 legs.

So,  

2x + 4y = 82 - - - - - - - - - - - - 1

Now  

Substituting x = 30 - y into equation 1, it becomes

2(30 - y) + 4y = 82

60 - 2y + 4y = 82

- 2y + 4y = 82 - 60

2y = 22

y = 11

Now

x = 30 - 11

= 19

8 0
3 years ago
I just don’t feel like doing the work.... wanna help?
nata0808 [166]
38% GOOD LUCK ya ya sus
6 0
3 years ago
Read 2 more answers
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