L2

Cards (48)

  • As a METHOD it refers to orderly
    processes of data collection,
    organization, presentation and
    interpretation (tabulation of data,
    computation of rates and frequency
    distribution, graphic presentation)
  • As a DATA it refers to quantitative data
    affected to a marked extent by a
    multiplicity of causes. Data are
    collected in order to measure something
    (number of deaths, births, specific
    diseases, hospital admissions)
  • Descriptive Statistics Statistical techniques for summarizing and presenting data in a form that will make them easier to analyze and
    interpret.
  • Inferential Statistics Concerned in making estimates, predictions, generalizations, and
    conclusions about a target population
    based on information from a sample
  • Demographic ex. Population size, age, sex,
    geographic distribution, mortality,
    morbidity, growth rate
  • Health Status Causes and distribution of
    mortality and morbidity as to
    residence, place of occurrence, age,
    sex
  • Health related Socio economic
    Environmental Factor Water supply, excreta disposal,
    school enrollment, food
    establishment, transports, food
    intake/habits
  • Biostatistics No measurement is perfectly accurate or exact
  • Probability Used to described the variety and
    frequency of past outcomes under
    similar conditions as a way of predicting
    what should happen in the future.
  • P value- use to express the degree of
    probability or improbability of a
    certain result in an experiment.
  • Confidence Interval This is a range of values within which the true result probably falls.
  • Variable Measurement of a characteristic
  • Qualitative Variables whose categories are simply used as labels to distinguish one group
    from another
  • Qualitative Numerical representation of the
    categories are for labeling/coding and
    NOT for comparison
  • Qualitative Sex, religion, place of residence,
    disease status
  • Discrete integral whole number
  • Continuous – can attain any value
    including fractions and decimals
  • Quantitative Values indicate a quantitiy or amount and can be expressed numerically
  • Quantitative Values can be arranged according to magnitude
  • Quantitative Age, height weight, blood pressure
  • Nominal
    - A classificatory scale where the
    categories are used as labels only
    - Sex, race, blood group, patient ID
  • Ordinal
    Used for categories which can be
    ordered or ranked
    • Likert scale, psychosocial scale
  • Interval
    Same characteristics as ordinal; zero
    point is arbitrary and does not mean
    absence of the characteristic
    • Temperature, IQ
  • Ratio
    Same characteristics as ordinal; a
    meaningful zero point exist
    • Weight, BP, height, doctor visits
  • Tabulation
    • It refers to the arrangement of any data
    in an orderly sequence, so that they can be presented concisely and compactly
    and so that they can be understood
    easily.
  • Frequency Distribution Data are grouped according to some
    scale of classification, where the sum
    of the entries is equal to the total.
    The figures may either be in equal
    numbers, in percent or in both. The
    scales used may be qualitative,
    quantitative or both.
  • A frequency distribution shows the
    number of observations falling into
    each of several ranges of values.
    Frequency distributions are
    portrayed as frequency tables,
    histograms, or polygons.
  • Correlation Data
    • Used to compare two or more
    frequencies
  • Time series Data Some variable changes over a period of time is the one being presented.
  • Title- it should state the objective of the
    table. It should clearly, briefly and
    comprehensively what the figures in the
    body of the table stand for. How the
    data are classified, where and when
    obtained
  • Stubs- indicate the basis of classification
    of the rows or horizontal series of
    figures
  • Column headings indicate the basis of
    classification of the columns or vertical
    series of figures.
  • Body of the table- this is made up of the
    figures filling the cells or compartments
    brought about by the coordinates of
    rows and columns
  • Marginal Totals- refer to the column
    totals and row totals
  • Footnote indicate the source of
    information
  • Graphing The purpose is to convey a simpler idea of what the statistical table contains .
  • Title- indicate clearly and briefly what
    the figures in the body of the graph stand
    for, how the data were classified, and
    where and when obtained. This is placed
    at the bottom of the graph, preceded by
    number for easy reference.
  • Axis- a graph has 2 axes, the vertical
    and the horizontal:
  • Legend- this is needed when one is
    drawing more than one graph in a
    graphing space. This clarifies to what
    particular item each of the graph refers.
    It is placed either at the bottom of the
    graph or as close as possible to the
    figures being identified.
  • Body of the graph- these are the lines,
    bars or figures drawn within the
    graphing space.