Answer: it’s D :)
Step-by-step explanation: I was wondering if you could help me with my recent chemistry question I’ve posted it over and over and nobody answered it seriously they only say random stuff for points or search it up but it’s not the right answer.. please help me if not that’s fine.
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:
Julia has enough gas to mow the two yards.
Step-by-step explanation:
Given:
Julia needs gallon of gas to mow first yard.
Julia needs gallon of gas to mow second yard.
Julia has a total of gallon of gas in in her can.
To find whether she has enough to mow both yards.
Solution:
Total gallons of gas needed to mow two yards can be found out by :
⇒
Taking LCD =80.
⇒
⇒
Adding the numerators.
⇒
⇒ 1.2125 gallons
Julia has gallon = 1.5 gallons of gas in in her can.
Since , thus we can say that Julia has enough gas to mow the two yards.
Answer:
4/8
Step-by-step explanation:
There are half even and half odd numbers on a spinner so it is 1/2 of 8 which is 4. Then you put the 4 over 8 to gain your probability.