Lecture 6 Flashcards
Population
Collection of all possible elements, values, or items associated with a situation
Sample
A subset of elements or measurements taken from a population
Two types of samples
Random Sample
Nonrandom Sample
Variables Data
Characteristics that can be measured
Attributes Data
Characteristics that can be observed as being present or not; or conforming or not
Continuous
A measured value that can take value within the range
Discrete
Countable using whole numbers
Graphical and Analytical Data Analysis
Shape
Measures of Central Tendency
Measures of Dispersion
Shape
Modes
Symmetry
Skewness
Kurtosis
Measures of Central Tendency
Mean
Median
Mode
Measures of Dispersion
Range
Standard Deviation
Variance
Coefficent of Variation
Mesokurtic
Normal Tails
Leptokurtic
Heavy Tails
Skinny
Platykurtic
Light Tails
Fat
1 Standard Deviation =
2 Standard Deviations =
3 Standard Deviations =
68%
95%
99.7%
For Normal Distribution must have:
Mean = Median = Mode