Lesson 4: Random Sampling and Sampling Distributions Flashcards
It is a portion of a population.
Sample
It is used to represent the population in a study.
Sample
It is the process of getting samples from the population.
Sampling
It is a numerical measure that describes a population.
Parameter
It is a measure that describes a sample.
Statistic
It must not be biased.
Sampling
It means all members have an equal chance in being selected.
Sampling
2 types of sampling
- Random Sampling
- Non random Sampling
It is a type of sampling that is also called probability sampling.
Random Sampling
It is a type of sampling where each member has a non-zero probability or each member has an equal chance of being selected.
Random Sampling
It is a type of sampling that is also called non-probability random sampling.
Non random Sampling
It is a type of sampling where not all individuals have to be selected in the sample.
Non random Sampling
The 4 random sampling techniques
- Simple Random Sampling
- Stratification/Stratified Random Sampling
- Systematic Sampling
- Cluster Sampling
It is a random sampling technique that is chosen randomly, providing equal chances for all members
Simple Random Sampling
2 ways of simple random sampling
- Table of random numbers
- Lottery Method
It is a way of simple random sampling containing rows and columns of mechanically generated digits.
Table of random numbers
It is a way of simple random sampling where each element of the population is assigned to a unique member.
Lottery method
2 types of simple random sampling
- Simple Random Sampling Without Replacement (SRSWOR)
- Simple Random Sampling With Replacement
It is a type of simple random sampling where the selection of elements depends entirely on chance.
Simple Random Sampling Without Replacement (SRSWOR)
It is a type of simple random sampling that gives an element of the population to be selected more than once as a part of the sample.
Simple Random Sampling With Replacement
It is the formula of simple random sampling.
n=Ν/(1+Νe^2)
It is a random sampling technique dividing the sample into subgroups before drawing random samples.
Stratification/Stratified Random Sampling
It is a random sampling technique that has strata.
Stratification/Stratified Random Sampling
It is what stratification is also called.
Stratify
It is the formula of stratification.
(# of each strata)/(population size)(sample size)
It is a random sampling technique selecting one member for every kth of the population.
Systematic Sampling
It is a random sampling technique where the starting point may be chosen randomly.
Systematic Sampling
It is the meaning of e.
margin of error
It is the meaning of N.
population size
It is the meaning of n.
desired sample size
It is the meaning of k.
sampling interval
It is a random sampling technique also called area sampling.
Cluster Sampling
It is a random sampling technique where the population is divided into clusters.
Cluster Sampling
It divides a large population into smaller groups (clusters) and then select some clusters to study.
Multi-Stage Cluster Sampling
The sample consists of all the elements from all the strata.
Stratified
It is a random sampling technique where the sample consists of elements from the selected clusters only.
Cluster Sampling
It is the probability distribution that describes the probability for each mean of all samples with the sample size n.
Sample Distribution
It is the probability distribution of the samples drawn from the population obtained from a random experiment.
Sample Distribution
