Question

1. Don't use handwriting,please.

2. Don't copy and paste use your own words.

3. I need Reference link . (important)

Q1:What is the difference between a population and a sample in statistics? (in details)
Q2. How to interpret confidence intervals and confidence levels?(in details)
Q3. Why the p-value is important?(in details)

Answer 1

Answer;

1] In statistics, a population is the term used to denote all the units under consideration while making a study. Sample means a particular sub-unit of that population which is the main focus of the study.

eg. We are studying the effect of pollution on a pond ecosystem then all the living organisms in the pond make the population. But our study focuses specifically on the effect of the pollutant on a particular variety of fish, then that is our sample.

2] Confidence interval is a range of values within which there is a probability that the value of a parameter might lie.

Confidence level is the probability that the value of a parameter falls within a specified range of values.

eg. if the confidence interval of an obtained data is -2 to 2 and its confidence level is 95%, it means that there is a 95% chance that the range will be within -2 to 2.

3] P-value is a data-based measurement that helps indicate a departure from a specified null hypothesis. It is important because it helps to confirm if a null hypothesis is acceptable or not.