Stats Chapter 8: Sampling Methods and the Central Leimit Theorem

Stats chap 8

37 cards   |   Total Attempts: 182
  

Cards In This Set

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Sampling is a
Tool to infer something about a population based on a sample.
determine population parameter based upon the sample
A sample is a part of
Population of interest
We construct a distribution of the _____ to understand how
Sample mean to understand how the sample means tend to cluster around the pop mean
We do all this to show that the population shape
Of the sampling distribution tends to follow the normal probability distribution
Sampling is based on _______ statistics
Inferiential: which is to find something about a population based on a sample
A sample is
A portion or part of the population of interest
5 reasons to sample:
1. contacting the whole pop would be time consuming
2. the cost of studying all the items in a pop may be prohibitive
3. physical impossibility of checking all items in the pop
4. destructive nature of some tests
5. sample results are adequte
Simple random sample
Most widely used
a sample selected so that each item or person in the pop has the SAME CHANCE OF BEING INCLUDED
Table of random numbers
Numbers have been generated from a random process, probablity is the same for each number
bias is eliminated from selection process
Systematic random sampling
A random starting point is selected and then every kth member of the pop is selected
Who is k calculated?
Population size/ sample size
The systematic random sampling method should not be used when:
When the physical order is related tto the population characteristic
Stratified random sampling
Pop can be clearly divided into groups based on some characteristic
each group is represented in the sample
What are the groups called?
Strata
Simple random sampling is used once strum are created
True