Lecture 4: Descriptive Data Analytics Flashcards

1
Q

? Statistics: describe t’ data as it is

A

Descriptive Statistics: describe t’ data as it is

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2
Q

Inferential Statistics:

Draw inferences about the ? based on a ? data

A

Inferential Statistics:

Draw inferences about the population based on a sample data

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3
Q

Mean: ?

A

Mean: arithmatic (i.e. not weighted) average

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4
Q

Mode: the ? observation

A

Mode: the most frequent observation

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5
Q

Median: the ?

A

Median: the number in the middle

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6
Q

Dispersion: ??? of a given variable

A

Dispersion: degree of variation of a given variable

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7
Q

Range: ??

A

Range: Min - Max

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8
Q

Variance or Standard Deviation: ?????

A

Variance or Standard Deviation: how far the majority of the data is away from the average (i.e. the mean)

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9
Q

Normally distributed data: ?-shaped

A

Normally distributed data: bell-shaped

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10
Q

Histogram: ? chart

A

Histogram: frequency chart

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11
Q

Skewness: measure of ?
? < Skewness < ? : data is normally distributed
Data can be skewed (i.e. not normal) because of ?.

A

Skewness: measure of Asymmetry
-1.96< Skewness < 1.96 : data is normally distributed
Data can be skewed (i.e. not normal) because of outliers.

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12
Q

Kurtosis:
? / ? / ? nature of t’ distribution
? < Kurtosis < ?: Data is normally distributed

A

Kurtosis:
Peak/ Tall/ Skinny nature of t’ distribution
-3 < Kurtosis < 3: Data is normally distributed

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