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Basic Statistics

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Basic Statistics in Technology and Assessment Levels of Measurement Ordinal Level Interval Level Nominal Level Ratio Level Levels of Measurement (cont.) Nominal Level ... – PowerPoint PPT presentation

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Title: Basic Statistics


1
Basic Statistics
  • in Technology and Assessment

2
Levels of Measurement
  • Ordinal Level
  • Interval Level
  • Nominal Level
  • Ratio Level

3
Levels of Measurement (cont.)
  • Nominal Level
  • Simplest and least precise
  • Differentiates attribute or property
  • Little statistical value
  • Examples
  • Locker Number 20
  • Social Security Number

4
Levels of Measurement (cont.)
  • Ordinal Level
  • Has the property of order (rank)
  • Indicates difference (more or less)
  • Indicates direction of difference
  • Not mathematically meaning
  • Examples
  • Team rankings
  • Class rankings

5
Levels of Measurement (cont.)
  • Interval Level
  • More precise measure calculations meaningful
  • Provides equal difference in characteristic being
    assessed
  • Zero point is arbitrary
  • Example
  • Temperature
  • Cognitive Measures (i.e. -- I.Q. Test)

6
Levels of Measurement (cont.)
  • Ratio Level
  • Most precise and useful level
  • Absolute zero
  • Ratio number can make statements such as Twice
    as big/ .. Twice as fast
  • Examples
  • Distance throw
  • Speed run

7
Quiz....
  1. Numbers on a football jersey.
  2. Timed scores for 100 meter dash.
  3. Mr. RU, first place runner up.
  4. Gender classification for M/F.
  5. Speedometer reading of 60 mph.
  6. Temperature of 32 degrees
  7. Wrestlers height and weight.

8
Measures of Central Tendency
  • Mode
  • Score that occurs most often
  • Median
  • The point at which half the scores fall above and
    below
  • Mean
  • The numerical average.. The sum of the scores
    divided by N (the number of scores)

9
Measures of Variability
  • Range
  • The difference between the highest score and
    lowest score
  • Standard Deviation
  • The most common measure of variability
  • Spread of scores
  • Amount each score deviates from the mean

10
Measure of Relationship
  • Correlation
  • You must have two sets of scores for each
    individual in order to use the correlation
  • Identifies the direction and strength of the
    relationship between two sets of scores. The
    scores will range from 1.00 to 1.00

11
Measure of Relationship (cont.)
  • Direction
  • The direction is identified by a or sign
  • .. Both sets of scores have the higher score as
    the better score or lower score the better score.
  • - .. One set of scores the higher score is
    better, the other set of scores the lower score

12
Measure of Relationship (cont.)
  • Examples of Direction of Relationship
  • Twelve minute walk run to Shuttle Run
  • Golf Score to Upper Body Strength
  • Over GPA to Grade in Technology/Assess
  • GPA to SAT
  • Stress Test (high more stress) to Obesity (BMI
    higher means fatter)

13
Measure of Relationship (cont.)
  • Strength (correlation coefficient)
  • Number will range from 1.00 to .00
  • The closer to one the number is the stronger the
    relationship
  • Ranges
  • .80 to 1.00 high correlation
  • .60 to .79 moderately high correlation
  • .49 to .59 moderate correlation
  • .20 to .39 low correlation
  • .00 to .19 no relationship

14
Terminology
  • Subjects
  • People participating in your research project
  • Variables
  • What you are measuring speed, body composition,
    stress
  • Test/Assessment
  • The instrument you are using to collect the data
    in your research area.

15
Terminology (cont.)
  • Measurement
  • The process/procedures used to collect the data
    (scores)
  • Evaluation
  • What you do with the information, what
    conclusion you reach once the data is analyzed,
    what action do you take?
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