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.

Respuesta :

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.

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

According to the given options,

Statement (a) is CORRECT ,There is a clear outlier in the data

Given :

  • The statement relates that sample= 24
  • Confidence interval= 80.2 to 89.8.

Here, In the given data the standard deviation does not mention anywhere which is the important Parameter using the T-procedure   we We assume here that the standard deviation is not known.

So, the most difficult part is the skewness and the strong  presence outliers in the T-procedure.

Therefore, Statement(3) is CORRECT meaning a clear outlier in the data.

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