Quick and easy No sampling frame needed
Allows for easy comparison
Allows a small sample to still be represented of the population
Advantage of opportunity sampling
Easy to carry out
Advantage of a sample
Quicker Less expensive
Easier to process
Advantage of a census
Representative So accurate result
Advantage of stratified sampling
Accurately reflects the population structure Representative
Advantage of systematic samples
Suitable for large samples Quick and easy to use
Advantages of simple random sample
Free of bias Easy and cheap
Disadvantage of census
Time consuming Expensive
Cannot be used when the testing process destroys the item
Disadvantage of opportunity sampling
Unlikely to be Representative
Disadvantage of quota sampling
Can be bias Non responses are ignored
Disadvantage of quota sampling
Can be bias Non responses are ignored
Disadvantage of samples
Data may not be accurate or representative
Disadvantage of stratified sampling
Population must be clearly classified into strata Not suitable for large Population or sample size
Disadvantage of systematic samples
Sampling frame is needed Can be bias if sampling frame is not random
Disadvantage of systematic samples
Sampling frame is needed Can be bias if sampling frame is not random
Disadvantages of simple random samples
Sampling frame is needed Not suitable when population or sample size is large
Opportunity sampling
Taken from people who are available at the time Eg the first 20 people to walk into a shop
Quota sampling
Researcher selects a sample that reflects the characteristics of the whole population Population divided into groups according to given characteristics
Sampling frame
A list of the population
Sampling units
Individual items of a population Eg a resident
Simple random sample
Give each member if the population a unique number Use a random number generator to pick out the numbers ignoring repeats
Stratified sampling
Population is divided into categories Random sample taken from each of them
The sample is reflective of the population
Eg if there are 60% females 60% of the sample will be female
Stratified sampling
Population is divided into categories Random sample taken from each of them
The sample is reflective of the population
Eg if there are 60% females 60% of the sample will be female
Stratified sampling equation
Number in stratum/number in population x sample size
Systematic sample
The required elements are chosen at regular intervals
Systematic sample
The required elements are chosen at regular intervals
Test statistic
Results from the experiment Eg the number of heads obtained
Types of non random sampling
QuotaOpportunity
Types of non random sampling
QuotaOpportunity
Types of random sample
Simple random Systematic
Stratified
What is a census
Where data from every member of the population is obtained
What is a random sample
Where every member of the population has an equal chance of being selected
What is a sample
Where data from a subset of the population is obtained
Formula for coded values
y = x - a /b
Formula for coded mean
Coded mean = mean - a /b
Formula for coded standard deviation
Coded standard deviation = standard deviation - a /b
How to use interpolation to find a measure of location eg the median
Lcb = lower class boundary
Ucb =upper class boundary
ucv = upper cumulative value
lcv - lower cumulative value
median - half of the total frequency
Q2 - lcb / ucb - lcb = median -lcv/ ucv - lcv
What do you use to find a measure of location in continous data
Interpolation - a number line
How to calculate lower quartile (Q1) for discrete data
If 1/4 n is a whole number Q1 is halfway between this data point and the next
If 1/4 n is not a whole number round up and pick this data point
How to calculate median (Q2) for discrete data
If 1/2 n is a whole number Q2 is halfway between this data point and the next If 1/2 n is not a whole number round up and pick this data point