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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I think it is 0.9 I think
Answer:
8x + 8
Step-by-step explanation:
you have to distribute the 8 to everything inside the parentheses
8 times x
8 times 1
8x + 8
New York got 4.64 times more snow than Boston did.
If Boston got 2.8 feet of snow and New York City got 13 feet, the amount of feet that New York got more than Boston is:
= Amount of snow New York got / Amount of snow Boston got
= 13 / 2.8
= 4.64 more than Boston
New York therefore got about 4.64 more snow than Boston did
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