Which of the following is TRUE about sampling distributions? Larger sample gives worse data. More samples give worse data.
Larger sample gives better data. More samples give worse data.
Smaller sample gives worse data. More samples give better data.
Smaller sample gives better data. More samples give better data.

Smaller sample gives worse data. More samples give better data.

Step-by-step explanation:

A sample is the number of elements that are used in a given experiment.

For example, if you do a survey to 100 random people, then your sample is 100 people.

Here we can see something kinda obvious, if you increase your sample, then more people answer your survey, wich means that more samples give more data, and more data is better, then more sample gives better data.

We also can see that if we have a small sample (for example 10 people) the survey will not be really useful, this happens because if we have really small samples the sample may be biased, and we always want to aboid this.

Then:

Smaller samples give worse data, and as we increase the samples, we also get better data.

The correct option is:

"Smaller sample gives worse data. More samples give better data."

(a) the volume of the cone is 20/3 in3

hence, option a is correct.