Using the Empirical Rule and the Central Limit Theorem, we have that:
- About 68% of the sample mean fall with in the intervals $1.64 and $1.82.
- About 99.7% of the sample mean fall with in the intervals $1.46 and $2.
<h3>What does the Empirical Rule state?</h3>
It states that, for a normally distributed random variable:
- Approximately 68% of the measures are within 1 standard deviation of the mean.
- Approximately 95% of the measures are within 2 standard deviations of the mean.
- Approximately 99.7% of the measures are within 3 standard deviations of the mean.
<h3>What does the Central Limit Theorem state?</h3>
By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation
.
In this problem, the standard deviation of the distribution of sample means is:

68% of the means are within 1 standard deviation of the mean, hence the bounds are:
99.7% of the means are within 3 standard deviations of the mean, hence the bounds are:
More can be learned about the Empirical Rule at brainly.com/question/24537145
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Answer:
divided it then add it, i think
Step-by-step explanation:
23.04/3.125=7.3728
22.75/0.04=568.75
wait nvm dont add or sutract those bc you will get a long number, i forgot whats the proper name for it. sorry.
Answer:
730
Step-by-step explanation:
A(X)= 2πRH+2πR^2
A(X)=2π(7.5)(8)+2π(7.5)^2=730.42 = 730
The answer is C just guessed and i got it right.
I think it’s h=64m because it just makes sense the most