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slavikrds [6]
3 years ago
13

Scientists collect data on the blood cholesterol levels (milligrams per deciliter of blood) of a random sample of 24 laboratory

rats. A 95% confidence interval for the mean blood cholesterol level μ is 80.2 to 89.8. Which of the following would cause the most worry about the validity of this interval?
(a) There is a clear outlier in the data.
(b) A stemplot of the data shows a mild right skew.
(c) You do not know the population standard deviationσ.
(d) The population distribution is not exactly Normal.
(e) None of these are a problem when using a t interval.
Mathematics
1 answer:
Ludmilka [50]3 years ago
6 0

Answer: (a) There is a clear outlier in the data.

Step-by-step explanation:

The statement relates that sample= 24

Confidence interval= 80.2 to 89.8.

Now the data does not mention anywhere the standard deviation which is an important parameter in using the t-procedure rather we assume that standard deviation is not known. So, the most worrying part is the skewness and the presence of strong outliers in the t-procedure.

So, the option a) is correct meaning a clear outlier in the data.

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<h3>What is the permutation formula?</h3>

The number of possible permutations of x elements from a set of n elements is given by:

P_{(n,x)} = \frac{n!}{(n-x)!}

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More can be learned about the permutation formula at brainly.com/question/25925367

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