Considering the Central Limit Theorem, we have that:
a) The probability cannot be calculated, as the underlying distribution is not normal and the sample size is less than 30.
b) The probability can be calculated, as the sample size is greater than 30.
<h3>What does the Central Limit Theorem state?</h3>
It states that the sampling distribution of sample means of size n is approximately normal has standard deviation
, as long as the underlying distribution is normal or the sample size is greater than 30.
In this problem, the underlying distribution is skewed right, that is, not normal, hence:
- For item a, the probability cannot be calculated, as the underlying distribution is not normal and the sample size is less than 30.
- For item b, the probability can be calculated, as the sample size is greater than 30.
More can be learned about the Central Limit Theorem at brainly.com/question/16695444
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Answer: five billion six hundred four million five hundred twelve thousand eight
Step-by-step explanation:
Answer:
3/4
Step-by-step explanation:
it's in slope intercept form so the slope is the number before x
Answer:
True
The domain is the input and the range is the output.
Answer:
x = 126/999
Step-by-step explanation:
Let x = .126126126 repeating
Multiply each side by 1000
1000x = 126.126126126 repeating
subtract the first equation from the second
1000x = 126.126126126 repeating
- x = .126126126 repeating
999x = 126
Divide each side by 999
999x/999 = 126/999
x = 126/999