• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/37

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

37 Cards in this Set

  • Front
  • Back
Measures of Central Tendency
Mean, Median & Mode
Central Tendency
A measure that identifies a single score as representative for an entire distribution
(Relative position)
Mode
- Most repeated/frequent score in the set of results
- Best for nominal data
Median
- The score that divides the distribution in half
- Best for ordinal data
Mean
- The arithmetic average
- Best for interval/ratio data
Measures of Dispersion
A single summary figure that describes the spread of observations within a distribution
(Amount of variation)
Variation Ratio (VR)
= 1 - % of cases in the mode
- paired with the mode
- ranges from 0 (no variation) to 1
- used for nominal variables
Range
= X(largest) - X(smallest)
- used for interval/ratio variables
- insensitive measure of dispersion
- NEVER best measurement
Inter-Quartile Range (IQR)
= Range of scores representing the middle 50% of the distribution
- used for interval/ratio variables
- paired with the median
Standard Deviation (SD)
= Describes the "average" distance of the values from their mean
- paired with mean
Variable
A characteristic of person, place or thing, that can assume more than one value (i.e. letters in the alphabet)
Constant
Can only assume one value (i.e. inches in a ft)
Discrete
Whole numbers (i.e. placement in a race)
Continuous
Can hold any value (i.e. times you can finish a race)
Independent Variable
One that is controlled or manipulated by the researcher
Dependent Variable
One that is affected by the independent variable (outcome variable)
Measurement
The process of assigning number to variable of interest according to specified rules or conventions
Levels of Measurement
1) Nominal
2) Ordinal
3) Interval
4) Ratio
Nominal
Attributes are only named
(i.e. large, medium, small)
- does not have any characteristics of measurement
Characteristics of Measurement
1) Magnitude (more or less)
2) Interval (equal distance)
3) Ratio (does it have a zero)
Ordinal
Attributed can be ordered
(i.e. letter grade)
- magnitude only
Interval
Distance is meaningful
(i.e. course evaluations)
- magnitude & intervals
- open ended response (45+ yrs)
Ratio
Absolute zero
(i.e. height)
- magnitude, intervals & ratio
Why do you need to know the level of measurement?
So you know what tests to run
Can a variable possess more than one level of measurement?
YES
- i.e. blood pressure if categorized to normal, prehypertension and high (ordinal because high is 140+)
Sample
Cohort used to generalize results to population
Population
Everyone you are interested in studying
Normal Distribution
- Bell-shaped
- Unimodal (one mode)
- Symmetrical
- Asymptotic
- Mean=Median=Mode
The larger the sample size...
The closer to normal distribution...
Positively Skewed
- Bulk of scores are on the left
Negatively Skewed
- Bulk of scores are on the right
- i.e. Mean=82, Median=80 and Mode=75
Kurtosis
1) Leptokurtic distribution (leap-up)
2) Platykurtic distribution (flat/smooth)
Print out for Kurtosis
Negative value = Platykurtic
Positive value = Leptokurtic
Severely if +/- 2.00
Print out for Skewness
Negative value = Negatively skewed
Positive value = Positively skewed
Severely if +/- 3.00
Area under a normal distribution
68% within 1 SD
95% within 2 SD
99.7% within 3 SD
How to calculate # of SD from the mean
+/- 1 SD = Mean +/- 1*SD
+/- 2 SD = Mean +/- 1.96*SD
+/- 3 SD = Mean +/- 2.58*SD
Z-Scores
Identify and describe the exact location of every score in a distribution