Sampling, data presentation and interpretation

    Cards (54)

    • Advantage of quota sampling
      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
      Quota Opportunity
    • Types of non random sampling
      Quota Opportunity
    • 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