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Statistical Analysis > Descriptive Statistics > Flashcards

Descriptive Statistics Flashcards

1
Q

Used for those surveys where the numbers are compared and commented on.

A

Textual Presentation

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2
Q

The lowest observed value in the data set.

A

Lower Limit

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3
Q

Obtained by subtracting one unit of measure from the lower limit of the class interval.

A

Upper Limit

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4
Q

Numbers that are halfway between the upper limit of a class and the lower limit of the next class.

A

Class Boundaries

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5
Q

The average of the lower and upper limits of a given class interval.

A

Class Mark or Class Midpoint (CM)

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6
Q

Obtained by dividing the frequency of a given class interval by the total number of observations.

A

Relative Frequency (RF)

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7
Q

Obtained by multiplying the relative frequency by 100%.

A

Relative Percentage

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8
Q

The accumulated frequency of a class.

A

Cumulative Frequency (CF)

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9
Q

Used for depicting qualitative data that have been summarized in a frequency distribution.

A

Bar Graph

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10
Q

Best used when the data set shows numbers that are independent of each other.

A

Bar Graph

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11
Q

Uses the relative frequencies to subdivide the circle into sectors or slices that correspond to the relative frequency or relative percentage of each distinct groupings.

A

Pie Graph

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12
Q

Used to show how a whole is divided into parts.

A

Pie Graph

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13
Q

Uses line segments to connect the data points.

A

Line Graph

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14
Q

A common graphical representation of quantitative data

A

Histogram

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15
Q

Used when the categories are ranges of numbers

A

Histogram

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16
Q

Provide information about a representation value of the data set.

A

Measures of Central Tendency

17
Q

Most common measures of Central Tendency

A

Mean
Median
Mode

18
Q

Sum of all observation divided by the total number of observations

A

Mean

19
Q

A point in the data set above and below which half of the cases fall.

A

Median

20
Q

The most frequently occurring value in the data set.

A

Mode

21
Q

Simplest measure of variability.

A

Range

22
Q

Measures the distance between the highest and lowest values in a set of data.

A

Range

23
Q

Measures the mean amount by which the values in a population, or sample, vary from their mean.

A

Mean Deviation

24
Q

Average squared difference of the values from the mean.

A

Variance

25
Q

It refers to the distortion or asymmetric in a symmetrical bell curve or normal distribution in a set of data.

A

Skewness

26
Q

Used to describe the degree of skewness of a distribution.

A

Pearson’s first and second coefficients of skewness

27
Q

If the skewness is between -0.5 and 0.5

A

Fairly symmetrical

28
Q

If the skewness is between -1 and -0.5 (negatively skewed) or between 0.5 and 1 (positively skewed)

A

Moderately Skewed

29
Q

If the skewness is less than -1 (negatively skewed) or greater than 1 (positively skewed)

A

Highly Skewed

30
Q

Useful if the data exhibit a strong mode.

A

Pearson’s first coefficients of skewness
Pearson’s mode skewness

31
Q

Useful if the data have a weak mode or multiple modes.

A

Pearson’s second coefficients of skewness
Pearson’s median skewness

32
Q

It is more peaked than the normal distribution.

A

Leptokurtic Distribution

33
Q

The coefficient of kurtosis is usually found to be more than 3.

A

Leptokurtic Distribution

34
Q

Has extremely dispersed points along the X-axis, resulting in a lower peak when compared to the normal distribution.

A

Platykurtic Distribution

35
Q

What does “platy” mean?

A

Broad

36
Q

The coefficient of kurtosis is usually found to be less than 3.

A

Platykurtic Distribution

37
Q

It has a curve that’s similar to that of the normal distribution.

A

Mesokurtic Distribution

38
Q

Distribution is largely normal.

A

Mesokurtic Distribution

Statistical Analysis (10 decks)

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