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Biostatistics & Epidemiology > Parameters of a Frequency Distribution > Flashcards

Parameters of a Frequency Distribution Flashcards

1
Q

A sample is the average value, or the sum (Σ) of all the observed values divided by the total number of observations (N)

A

Mean

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2
Q

Most descriptive analyses of continuous variables and advanced statistical analyses use the mean as the measure of central tendency.

A

Mean

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3
Q

A sample is the middle observation when data have been arranged in order from the lowest value to the highest value.

A

Median

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4
Q

The most commonly observed value in a data set is called the mode. The mode is of some clinical interest, but seldom of statistical utility.

A

Mode

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5
Q

Used to identify a measure of center.

A

Midrange

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6
Q

Mostly used in statistics where it is the spread of the numbers or data from the lowest to the highest value.

A

Range

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7
Q

It is the square root of variance, usually is used to describe the amount of spread in the frequency distribution.

A

Standards Deviation

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8
Q

Standardized measure of dispersion of a probability distribution or frequency distribution.

A

Relative Standard Deviation

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9
Q

Indicates the number at which a certain percentage of data falls below; percentiles are on version of measuring the variability within a data set.

A

Percentiles

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10
Q

Form of percentiles that split the data up into groups of 10%.

A

Deciles

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11
Q

Similar to deciles, a form of percentiles.

A

Quartiles

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12
Q

Commonly referred to as an AVERAGE.

A

Measure of Central Tendency

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13
Q

It is single value that represents a data set.

A

Measure of Central Tendency

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14
Q

3 Different measures of Central Tendency

A

Mean
Median
Mode

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15
Q

often called as the mean.

A

Arithmetic Mean

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16
Q

It is appropriate to determine the central tendency of an interval or ratio data.

A

Arithmetic Mean

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17
Q

It is affected by the extreme small or large values on data set.

A

Mean

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18
Q

It is the most appropriate in symmetrical data.

A

Mean

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19
Q

It is particularly useful when various classes or groups contribute differently to the total.

A

Weighted Mean

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20
Q

It is found by multiplying each value by its corresponding weight and dividing by the sum of weights.

A

Weighted Mean

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21
Q

A set of n positive numbers is defined as the nth root of the product of the n numbers.

A

Geometric mean

22
Q

It is the grand mean of all the values in all groups when two or more groups are combined.

A

Combined Mean

23
Q

This is the midpoint of the data array.

A

Median

24
Q

When the data set is ordered whether ascending or descending, it is called.

A

Data array

25
Q

It is an appropriate measure of central tendency for data that are ordinal or above, but is more valuable in an ordinal type of data.

A

Median

26
Q

Always exists and unique.

A

Median

27
Q

Can be calculated for any quantitative and some qualitative variables.

A

Median

28
Q

data set has only one value that occur the greatest frequency.

A

Unimodal

29
Q

if the data has two values with the same greatest frequency.

A

Bimodal

30
Q

If the data set have more than two modes.

A

Multimodal

31
Q

data set of values have the same number frequency.

A

No mode

32
Q

It is the easiest average to compute.

A

Mode

33
Q

PURPOSE: Locates the center of a data set.

A

Measures of Central Tendency

34
Q

It is appropriate measure of central tendency for data that are ordinal or above but is more valuable in an ordinal type of data.

[measure of central tendency]

A

Median

35
Q

Most appropriate in a skewed data.

[measure of central tendency]

A

Median

36
Q

Can be applied for ordinal, interval, and ratio data.

[measure of central tendency]

A

Median

37
Q

Can be computed for an open-ended frequency distribution.

[measure of central tendency]

A

Median

38
Q

A data may not contain any more if none of the values is “most typical.”

[measure of central tendency]

A

Mode

39
Q

Found by locating the most frequently occurring value.

[measure of central tendency]

A

Mode

40
Q

Easiest average to compute.

[measure of central tendency]

A

Mode

41
Q

Statistical term that provides a good indication of volatility.

[measures of dispersion]

A

Standard Deviation

42
Q

It measures how widely values are dispersed from the average.

[measures of dispersion]

A

Standard Deviation

43
Q

It provides an average distance for each element from the mean.

[measures of dispersion]

A

Standard Deviation

44
Q

Difference between the actual value and the average value.

[measures of dispersion]

A

Dispersion

45
Q

Simplest and easiest way to determine measure of dispersion.

[measures of dispersion]

A

Range

46
Q

The difference between the highest value and the lowest value in the data set.

[measures of dispersion]

A

Range

47
Q

One of the most widely used measures of dispersion is the standard deviation.

A

Variance and Standard Deviation

48
Q

The more spread apart the data, the higher the deviation.

A

Variance and Standard Deviation

49
Q

Is calculated as the square root of variance.

[variance and standard deviation]

A

Standard Deviation

50
Q

A mathematical expression of the average squared deviations from the mean.

[variance and standard deviation]

A

Variance

51
Q

A measure of risk.

[variance and standard deviation]

A

Volatility

52
Q
A

Biostatistics & Epidemiology (11 decks)

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