Ch 2 Descriptive Statistics Flashcards

1
Q

ordered array

A

data arranged from smallest to largest (usually)

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2
Q

relative frequencies

A

the proportion of values falling into a class interval. We divide the number of values in each category by the total number of values

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3
Q

experimental probability or empirical proability

A

interpreting the relative frequencies as the probablity of occurence within a given interval

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4
Q

frequency histogram and frequency polygon

A

special types of bar and line graphs

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5
Q

cut points

A

points on the horizontal axis where the bars meet

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6
Q

stem and leaf displays

A

bears a strong resemblance to the histogram and served the same purpose

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7
Q

statistic

A

descriptive measure computed from a sample

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8
Q

parameter

A

descriptive measure computed from population

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9
Q

measures of central tendency

A

mean, median and mode

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10
Q

(arithmetic mean)

A

average

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11
Q

first property of a mean

A

uniqueness, for a given set of data, there is exactly one arithmetic mean

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12
Q

second property of a mean

A

simplicity, the arithmetic mean is easily understood easy to compute

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13
Q

third property of a mean

A

since each and every value in a set of data enters into the computation of the mean and, in some cases, can so distort it that it becomes undesirable as a measure of central tendency

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14
Q

outliers(extreme values)

A

values that deviate appreciably from most of the measurements in a data set

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15
Q

robust estimators

A

estimators that are insensitive to outliers

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16
Q

trimmed mean

A

a robust estimator of central tendency

17
Q

median

A

value that divides the ordered array into 2 equal parts

18
Q

first property of the median

A

uniqueness, as with mean, there is a unique median for a given set of data

19
Q

second property of the median

A

simplicity, the median is easy to calculate

20
Q

third property of the median

A

robustness, it’s not as drastically affected by extreme values like the mean

21
Q

mode

A

the value that occurs most frequently, if all the data items are different, there is no mode

22
Q

skewness

A

classification of data distributions on the basis of whether they are symmetric or asymetric

23
Q

symmetric

A

the left half of its graph (histogram or frequncy polygon) will be a mirror image of its right half

24
Q

skewed distribution

A

if the graph of a distribution is asymmetric

25
Q

skewed to the right, positively skewed

A

graph has long tail to the right

26
Q

skewed to the left, negatively skewed

A

graph has long tail to left

27
Q

measures of dispersion

A

describe the variation, spread and scatter of the distribution

28
Q

range

A

difference between the largest and smallest values in a set of observations

29
Q

variance

A

measures dispersion based on how the data points are scattered about the mean

30
Q

standard deviation (SD)

A

square root of the variance, has the same units of the data

31
Q

coefficient of variation

A

used for comparing the variation of 2 or more distributions

32
Q

five number summary

A

given a set of n observations x1, x2,….xn, the pth percentile P is the value of X such that p percent or less of the observations are greater than P

33
Q

interquartile range (IQR)

A

difference between the third and first quartiles

34
Q

box and whisker plots (boxplots)

A

graphical representation of the five number summary

35
Q

kurtosis

A

measure of the degree to which a distribution is “peaked” or flat in comparison to a normal distribution whose graph is characterized by a bell shaped distribution