Question

There may be times when data is supposed to fit a normal distribution, but does not. Which of the following could be reasons for this?
1. Small Sample Size
2. Outliers and Small Sample Size
3. Outliers
4. Large Sample Size

Answer 1

There may be times when data is supposed to fit a normal distribution, but does not. Which of the following could be reasons for this?

Answer: Outliers and Small Sample Size could be the reasons for this. Hence the option 2. Outliers and Small Sample Size is correct.

We know that mean is affected by extreme values and outliers can cause our data to become skewed. Also if we take small sample size into consideration, the distribution of data may be skewed.

Hence the outliers and small sample size could be the reasons for non-normality of data.

Answer 2

Answer:

Outliers and Small Sample Size  --  Correct

Step-by-step explanation: