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Data Analysis > UNIVARIATE ANALYSIS > Flashcards

UNIVARIATE ANALYSIS Flashcards

1
Q

Also known as Measure of Center

A

Measure of Central Tendency

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2
Q

Measure of finding the mean, median or mode of the dataset

A

Measure of Central Tendency

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3
Q

Measure of finding the kth element

A

Measure of Position

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4
Q

Measure of how the data is distributed about the mean.

A

Measure of Variation

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5
Q

Measure of the degree of symmetry of a distribution

A

Measure of Shape

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6
Q

Most widely used parameter of describing a ratio data.

A

The Mean

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7
Q

Different types of means

A

arithmetic,
trimmed,
geometric,
harmonic
Quadratic or Root Mean Square (RMS)

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8
Q

is the only measure of central tendency where the sum of the deviations of each value from the mean is zero.

A

Arithmetic Mean

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9
Q

It is calculated by summing the values

A

Arithmetic Mean

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10
Q

set of numbers with corresponding weights

A

Weighted Mean

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11
Q

Used in factors being multiplied to another quantity

A

Geometric Mean

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12
Q

Used for the average of the time rates or averages of velocity, speed and alike

A

Harmonic Mean

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13
Q

Computed by “trimming away

A

Trimmed Mean

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14
Q

Useful for certain quantities

A

Quadratic Mean

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15
Q

The midpoint of the values

A

The Median

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16
Q

The value of the observation

A

The Mode

17
Q

Used when you want to find the most occurring/frequent score

A

The Mode

18
Q

Measures of Location

A

Quartiles
Deciles
Percentiles

19
Q

Dividing the dataset into 4 groups.

A

Quartiles

20
Q

Dividing the dataset into 10 groups

A

Deciles

21
Q

Dividing the dataset into 100 groups

A

Percentiles

22
Q

Measures of Variation

A

Range
Mean Absolute Deviation (MAD
Variance
Standard Deviation (SD)
Coefficient of Variation (CV)

23
Q

difference between the largest and smallest number in the set

A

Range

24
Q

The average of unsigned deviations from mean

A

Mean Absolute Deviation

25
Q

the positive square root of population

A

Standard Deviation (SD)

26
Q

The average of square deviations

A

Variance

27
Q

Measures of Shape

A

Skewness
Kurtosis

28
Q

Degree of asymmetry

A

Skewness

29
Q

The degree of peakedness

A

Kurtosis

Data Analysis (6 decks)

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