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lara31 [8.8K]
3 years ago
14

What is the missing value?

Mathematics
2 answers:
sleet_krkn [62]3 years ago
8 0

Answer:

the missing value is 40 .

Step-by-step explanation:

if observed clearly the difference between every number is 9.

so 31+9 = 40 is the correct answer.

hope this helps you.

madam [21]3 years ago
3 0

the answer is 40

in

X 1 (+1) 2 (+1) 3 (+1) 4 (+1) 5

Y 4 (+9) 13 (+9) 22 (+9) 31 (+9) 40

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Determine whether the following is an example of a sampling error or a non sampling error. A psychiatrist surveyed 8000 people t
Ilia_Sergeevich [38]

Answer:

The correct answer is - Non sampling error

Step-by-step explanation:

Sampling errors arises when a sample does not represent the whole population.

It is  difference between the real values of the population and the values derived by using samples from the population.

A non-sampling error refers to an error that occurs during data collection, causing the data to differ from the true values.

Non sampling error are of two types , response error and non response error.

In the given question , the error is a response error.

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4 0
3 years ago
6-1/2z=2/3<br> what is z?
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Hope this helps :)
8 0
4 years ago
Read 2 more answers
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3 0
4 years ago
A company produces refrigerators for beer kegs. The refrigerators are supposed to maintain a mean temperature of 43°F, ideal for
Deffense [45]

Answer:

C) Fail to reject the claim that the mean temperature is equal to 43°F when it is actually different from 43°F.

Options:

A) Fail to reject the claim that the mean temperature is equal to 43°F when it is actually 43°F.

B) Reject the claim that the mean temperature is equal to 43°F when it is actually 43°F.

C) Fail to reject the claim that the mean temperature is equal to 43°F when it is actually different from 43°F.

D) Reject the claim that the mean temperature is equal to 43°F when it is actually different from 43°F.

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The alternative hypothesis Ha: µ<>43 (a true mean temperature maintained by refrigerator is not equal to 43).

A type II error does not reject null hypothesis H0 when it is false.  Therefore, the type II error for the test fails to reject the claim that the mean temperature is equal to 43°F when it is actually different from 43°F.

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