OBJ - Descriptive Stats Flashcards

1
Q

Qualitative Scales of Measurement

A

Categories: Nominal or Ordinal

NOMINAL – no ordering/ranking – just categories
• Names or labels. Numbers, if present, act as labels
• Blood group: A, B, AB, O

ORDINAL - Natural ranking present (differences/spacing between categories, unclear)
• Tumor stage (1-4)

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2
Q

Quantitative Scales of Measurement

A

Numbers: Continuous or Discrete

COUNT/DISCRETE = Numeric but can only take on specific values
• Number of seizures in a given month

CONTINUOUS = Measured or numerical data that can (in theory) take on any value
• Body mass index (kg/m2); BP, HR, etc

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3
Q

Summarizing Qualitative Medical Dat

A

Categories

1) Count = Number of cases
2) Proportion = Count in category / total count
3) Percentage = 100 x proportion
4) Ratio = Count in category A / count in category B
5) Rate = Proportion per period time
6) Odds = Proportion / (1- proportion)

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4
Q

Representations/Displaying Quantitative Data

A

Continuous Data

1) Histogram
2) Box plot (concisely displays Max, Min, 75th%, 25th%, median & **outliers)

Ordinal Data

1) Pie Graph
2) Bar Chart

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5
Q

Summarizing Quantitative Medical Data

A

Numbers

1) Mean – Arithmetic average (sum / sample size)
2) Median – Middle value of sorted data
3) Mode – Most frequent value
4) Geometric mean – Nth root of the product of the data (Money or titers and other data expressed as powers)

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6
Q

Spread of Variability

A

How far apart are the data are from each other

1) Range – Maximum – minimum
2) Interquartile range – 75th percentile – 25th percentile (central 50% of data)

3) Variance – Average squared deviation from the mean
Σ ( X – mean(X))2 / (n - 1)

4) Standard deviation	– Square root of variance
      √ [Σ ( X – mean(X))2 / (n - 1)]
1 STDDEV = 68%	
2 STDDEV = 95%
3 STDDEV = 98%
Good if		
- Sample size is large
- Distribution has (single peak)
- Distribution is symmetric

5) Coefficient of variation = Standard deviation / mean (x 100%)

Report 
- BOTH location and spread
- Report corresponding measures of location and spread
Mean + standard deviation
Median + range or interquartile range
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7
Q

Gaussian Distributions

A
  • Bell-shaped
  • σ = standard deviation
  • μ = mean ( = median = mode)
  • Total area under curve equal 1
  • Extends to infinity in both directions
  • Probability corresponds to area under the curve
  • Completely described if two parameters (μ, σ) known
  • Also called “Z” distribution (z = 1.5 ~ z = 1.5 std deviations from mean)
  • Probabilities (areas under the curve) are tabled in most texts (Campbell table T1) – probability of BOTH tails
  • Reference range if not clarified is 95%
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8
Q

Sources of Variation

A

Biologic variation

  • Between-individual: two individuals have different values
  • Within-individual: same individual measured twice has different values

Measurement variation

  • Between-observer: two observers obtain different values when they measure the same thing
  • Within-observer: same observer obtains different values when measuring the same thing twice

Instrument or analytical error
- Different equipment yields different values when measuring the same thing

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9
Q

Sources of Variability

A
  • Reliability (Precise – to each other)
  • Random error
  • Measurements close to each other
  • Validity (Accuracy – to “target”)
  • Systematic error
  • Measurements close to the true value
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