chapter one

Cards (49)

  • collections of observations, information we collect from experiments or surveys
    data
  • the science of planning studies and experiments
    statistics
  • the complete collection of individuals to be studied
    population
  • collection of data from every member of the population
    census
  • sub collection of members selected from a population
    sample
  • sample chosen by a method in which each member of the population is equally as likely to make up the sample
    simple random sampling
  • choosing a sample based on what is convenient to you
    sample convenience
  • subdivide the population into different subgroups, called strata, which share the same characteristics, the a simple random sample is drawn from each subgroup
    stratified sampling
  • divide the population area into sections (clusters), then randomly select some of those clusters, choose all the numbers from those selected clusters
    cluster sampling
  • select some stating point and then select every kth element in the population
    systematic sampling
  • the respondents decide whether to be included
    voluntary response
  • voluntary response is never reliable
  • data consists of numbers representing counts or measurements
    quantitative (numerical) data
  • data consists of names or labels that are not numbers
    qualitative (categorical) data
  • data that is countable/finite
    discrete data
  • data that is uncountable/infinite
    continuous data
  • data that consists of names, labels, or categories
    nominal level of measurement
  • data that can be arranged from smallest to largest, but cannot be subtracted
    ordinal level of measurement
  • data where sorting and subtracting is possible but there is no zero starting point
    interval level of measurement
  • data where sorting, subtracting, and dividing is possible, has a zero starting point
    ratio level of measurement
  • a type of study where we observe data and draw conclusions
    observational study
  • a type of study where we apply treatment and draw conclusions
    experimental study
  • individuals being studied
    subjects
  • what is measured on each experimental unit
    outcome/response
  • the procedures applied to each experimental unit
    treatments
  • a study in which the investigator assigns the treatments to the experimental units at random
    randomized experiment
  • neither the investigators nor the subjects know who has been assigned to which treatment
    double blind experiment
  • subjects are divided into blocks in such a way that the subjects in each block are the same or similar with regard to a variable that is related to the outcome of the experiment
    randomized block experiment
  • use randomness to determine who gets the treatment, there is no restriction on which subjects may be assigned which treatment
    completely randomized experimental design
  • in observations studies subjects choose their own treatments
  • three types of cohort studies
    cross sectional, retrospective, prospective
  • cross sectional experiments study present data
  • retrospective experiments study past data
  • prospective experiments study future data (estimate)
  • in a case-control study, the case group has the disease of interest and the control group does not
  • a numerical measurement describing some characteristics of a population
    parameter
  • a numerical measurement describing some characteristics of a sample
    statistic
  • a variable that is related to both the treatment and the outcome
    confounding variable
  • a study that is conducted by a procedure that produces the correct result on average is said to be unbiased
  • a study that is conducted by a procedure that tends to overestimate or underestimate the true value is said to be biased