9. The purpose of statistical inference is to provide inform

Osvaldo Apodaca 2021-12-25 Answered
9. The purpose of statistical inference is to provide information about the.
a. sample based upon information contained in the population.
b. population based upon information contained in the sample.
c. population based upon information contained in the population.
d. mean of the sample based upon the mean of the population.
10. Random samples of size 81 are taken from an infinite population whose mean and standard deviation are 200 and 18, respectively. The distribution of the population is unknown. The mean and the standard error of the mean are.
a. 200 and 18.
b. 81 and 18.
c. 9 and 2.
d. 200 and 2.

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Expert Answer

vicki331g8
Answered 2021-12-26 Author has 525 answers
The option (a), “sample based upon information contained in the population” is incorrect because the estimate is calculated based on sample.
The option (c), “population based upon information contained in the population” is incorrect because statistical inference helps to draw conclusions about some unknown parameter based on sample data.
The option (d), “mean of the sample based upon the mean of the population” is incorrect because statistical inference draws some conclusions about some unknown parameter of population based on sample and not based on mean of population.
Statistical inference draws some conclusions or estimate the unknown parameter based on sample drawn from population. That is, the conclusion about population is made based on the sample data. Hence, option (b), “population based upon information contained in the sample” is the correct answer in the provided scenario.
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scomparve5j
Answered 2021-12-27 Author has 4421 answers
According to provided data, the population mean is equal to 200, population variance is equal to 18 and sample size is equal to 81.
The mean of sampling means can be calculated as:
\(\displaystyle\mu_{{\overline{{x}}}}=\mu\)
\(\displaystyle={200}\)
The standard error of the mean can be calculated as:
\(\displaystyle\sigma_{{\overline{{x}}}}=\frac{\sigma}{\sqrt{{n}}}\)
\(\displaystyle=\frac{{{18}}}{{\sqrt{{81}}}}\)
\(\displaystyle=\frac{{{18}}}{{{9}}}\)
\(\displaystyle={2}\)
So, the options (a), (b) and (c) are considered as incorrect options because the values do not match with the obtained values of mean and the standard error of the mean...
The obtained value of mean and standard error of the mean is 200 and 2 respectively. So, it can be said that option (d) is the correct answer in the provided scenario.
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karton
Answered 2021-12-30 Author has 8659 answers
Part 9
The purpose of statistical inference is to provide information about the population based upon information contained in the sample.
Part 10
The mean and standard error of the mean are 200 and 2 respectively.
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