Answer:
represent the sample mean
represent the sample deviation
n = 68 represent the sample size
Since the sample size is large enough n>30 we have enough evidence to conclude that the normal approximation for the sample mean makes sense. And the distribution for the sample mean would be given by:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Solution to the problem
For this case we have the following data given:
represent the sample mean
represent the sample deviation
n = 68 represent the sample size
Since the sample size is large enough n>30 we have enough evidence to conclude that the normal approximation for the sample mean makes sense. And the distribution for the sample mean would be given by:
The correct answer is either B or A
Hey there,
Answer:
<span>The individual performing the procedure, study, or treatment
Hope this helps :D
<em>~Top</em></span><span>
</span>
<span>This age is found from radiometric dating of meteorites that have been found in the earth's crust. Other samples from the earth and from the moon have borne out this finding, and give a very similar age for the oldest known materials.</span>
Answer:
$7,500
Explanation:
Taxable income:
= Income from operations + Dividends received - Expenses from operations
= $200,000 + $15,000 - 140,000
= $75,000
Deductions is allowed only to the maximum extent of 10% of the taxable income of the corporation.
Therefore,
Kingbird's charitable contribution deduction:
= 10% of Taxable income
= 0.1 × $75,000
= $7,500