Assignment 2 Flashcards

1
Q

Central tendancy

A

A central tendency/measure of central tendency is a central or typical value for a probability distribution. Colloquially, measures of central tendency are often called averages.

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2
Q

Frequency histogram

A

A frequency graph composed of vertical or horizontal rectangles that touch each other.

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3
Q

Bin width

A

The width of an interval that is used in constructing a frequency table or histogram.

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4
Q

Letter value display

A

A method of displaying simple statistical parameters including hinges, the statistical median, and upper and lower values as symbols.

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5
Q

Grouped data

A

Frequency data that are displayed in bins or intervals.

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6
Q

Variability/Spread

A

The degree to which numbers differ from central tendency.

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7
Q

Standard deviation

A

A measure of variability in which squared deviations from the mean are averaged.

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8
Q

Trimmed mean

A

An average in which a certain portion of numbers are deleted from the highest and lowest ends of an ordered batch of data.

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9
Q

Location

A

Another name for average.

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10
Q

Polygon

A

A type of frequency graph that is constructed by connecting dots by a single line. The resulting figure is a multi-sided figure.

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11
Q

Arithmetic mean

A

An average in which the numbers are added and divided by the number of numbers.

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12
Q

Harmonic mean

A

A type of average that is calculated by way of the reciprocals of numbers. Specifically, the harmonic mean is defined as the reciprocal of the arithmetic mean of the reciprocals of a specified set of numbers.

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13
Q

Quadratic mean/RMS

A

An average that is computed primarily for positive and negative numbers in which zero is a reference point.

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14
Q

Tukey trimean

A

A weighted average that uses the median and hinges.

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15
Q

Weighted arithmetic mean

A

An arithmetic mean in which all the numbers are weighted differentially. (Think calculating a GPA)

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16
Q

Smoothing

A

An analytic method in which an underlying relationship between two variables is calculated transcending the noise in data.