Answer:
The larger the number of items in the sample, the more closely the distribution of sample items will follow a bell-shaped curve
Step-by-step explanation:
The question is about the distribution of the sample
The sampling distribution, also called the distribution of the sample mean is the distribution for many samples drawn form population at random for large sizes.
As per central limit theorem, if samples of sufficiently large size to represent the population is drawn from the population, the sample means of all sample will follow a normal distribution and hence bell shaped.
So from the options we say a is incorrect because not always
b is incorrect because there is no mention about the chance.
c is incorrect because when we use sample variance we use t test
Option d is correct.
The larger the number of items in the sample, the more closely the distribution of sample items will follow a bell-shaped curve
