Sampling distribution

Question 1

What do we do when we want our sample statistics to be much closer to the population parameters?

Answer 1

=> collect more data
=> increase sample size

Question 2

How does sampling error occur?

Answer 2

• because a sample is a subset of the population => may not precisely represent it

Question 3

Population distribution vs Sampling distribution

Answer 3

Sampling distribution: random samples taken from population
- smaller spread
-less variability
- averages are less variable than individual observations

Question 4

So what is sampling distribution (of sample means)?

Answer 4

• a distribution or plot of the sample statistics
  (repeatedly taking samples from the same population)
  => gives u idea of how a statistic behaves

Question 5

How to reduce sampling error?

Answer 5

1) increase sample size
- reduce impact of pop. variation

2) Divide population into groups
- according to their size

3) Know your population
- ensure only target the sample that matters