Lecture 4: Descriptive Data Analytics Flashcards
? Statistics: describe t’ data as it is
Descriptive Statistics: describe t’ data as it is
Inferential Statistics:
Draw inferences about the ? based on a ? data
Inferential Statistics:
Draw inferences about the population based on a sample data
Mean: ?
Mean: arithmatic (i.e. not weighted) average
Mode: the ? observation
Mode: the most frequent observation
Median: the ?
Median: the number in the middle
Dispersion: ??? of a given variable
Dispersion: degree of variation of a given variable
Range: ??
Range: Min - Max
Variance or Standard Deviation: ?????
Variance or Standard Deviation: how far the majority of the data is away from the average (i.e. the mean)
Normally distributed data: ?-shaped
Normally distributed data: bell-shaped
Histogram: ? chart
Histogram: frequency chart
Skewness: measure of ?
? < Skewness < ? : data is normally distributed
Data can be skewed (i.e. not normal) because of ?.
Skewness: measure of Asymmetry
-1.96< Skewness < 1.96 : data is normally distributed
Data can be skewed (i.e. not normal) because of outliers.
Kurtosis:
? / ? / ? nature of t’ distribution
? < Kurtosis < ?: Data is normally distributed
Kurtosis:
Peak/ Tall/ Skinny nature of t’ distribution
-3 < Kurtosis < 3: Data is normally distributed