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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