stats

Cards (303)

  • What is raw data?
    Unprocessed data that needs organization
  • Why is qualitative data often more difficult to analyze?
    It is non-numerical and subjective
  • What type of data is height classified as?
    Quantitative data
  • What distinguishes discrete data from continuous data?
    Discrete data takes specific values, continuous can take any
  • What is categorical data?
    Data sorted into non-overlapping categories
  • How is ordinal data characterized?
    It can be ranked on a rating scale
  • What does bivariate data involve?
    Measuring two variables
  • What is multivariate data?
    Data involving more than two variables
  • What are the pros and cons of grouping data?
    Pros:
    • Easier to read and understand
    • Helps spot patterns and compare data

    Cons:
    • Loses accuracy of exact values
    • Calculations are only estimates
  • What is primary data?
    Data collected by yourself or on your behalf
  • What is secondary data?
    Data that has already been collected
  • What defines a population in research?
    Everyone or everything involved in the investigation
  • What is a census?
    A survey of the entire population
  • What is a sample in research?
    A smaller number from the population surveyed
  • What is a sampling frame?
    A list of all members of the population
  • What is a biased sample?
    A sample that does not represent the population fairly
  • What is a random sample?
    Every item has an equal chance of selection
  • What are the advantages and disadvantages of random sampling?
    Advantages:
    • Representative sample
    • Unbiased selection

    Disadvantages:
    • Requires a full population list
    • Can be expensive and time-consuming
  • What is stratified sampling?
    Sample size is proportional to population strata
  • What is systematic sampling?
    Choosing items at regular intervals
  • What is cluster sampling?
    Population divided into groups, all members sampled
  • What is quota sampling?
    Fixed amount sampled from each group
  • What is opportunity sampling?
    Using available people/items at the time
  • What is judgment sampling?
    Researcher selects sample based on their judgment
  • What is the Petersen Capture-Recapture method used for?
    Estimating size of large or moving populations
  • What is the first step in the Petersen Capture-Recapture method?
    Take a sample of the population
  • What is an explanatory variable?
    The variable that is changed in an experiment
  • What is a response variable?
    The variable that is measured in an experiment
  • What are extraneous variables?
    Variables not of interest that could affect results
  • What are the types of experiments?
    1. Laboratory Experiments
    • Full control over variables
    • Conducted in a lab
    1. Field Experiments
    • Conducted in everyday environments
    • Some control over variables
    1. Natural Experiments
    • No control over variables
    • Observes existing conditions
  • What is the advantage of laboratory experiments?
    Easy to replicate and control variables
  • What is a disadvantage of field experiments?
    Cannot control extraneous variables
  • What is a disadvantage of natural experiments?
    Low validity due to uncontrolled variables
  • What are the advantages and disadvantages of simulations?
    Advantages:
    • Models random events
    • Useful for predicting outcomes

    Disadvantages:
    • May not reflect real-life scenarios
    • Limited by assumptions made
  • What does the ability of pupils refer to in revision?
    It refers to how well pupils can learn.
  • What are the advantages and disadvantages of natural experiments?
    Advantages:
    • More accurate, reflects real-life behavior.

    Disadvantages:
    • Cannot control extraneous variables.
    • Not easy to replicate, less reliable than lab experiments.
  • What is a natural experiment?
    It is conducted in everyday environments.
  • What is an explanatory variable in a natural experiment?
    It is the variable that is not changed.
  • In the example of education's effect on income, what is the explanatory variable?
    Level of education
  • In the example of education's effect on income, what is the response variable?
    Income