UNIVARIATE ANALYSIS Flashcards

(29 cards)

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

17
Q

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

18
Q

Measures of Location

A

Quartiles
Deciles
Percentiles

19
Q

Dividing the dataset into 4 groups.

20
Q

Dividing the dataset into 10 groups

21
Q

Dividing the dataset into 100 groups

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

24
Q

The average of unsigned deviations from mean

A

Mean Absolute Deviation

25
the positive square root of population
Standard Deviation (SD)
26
The average of square deviations
Variance
27
Measures of Shape
Skewness Kurtosis
28
Degree of asymmetry
Skewness
29
The degree of peakedness
Kurtosis