Ch 2 Descriptive Statistics Flashcards

(35 cards)

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
skewed to the right, positively skewed
graph has long tail to the right
26
skewed to the left, negatively skewed
graph has long tail to left
27
measures of dispersion
describe the variation, spread and scatter of the distribution
28
range
difference between the largest and smallest values in a set of observations
29
variance
measures dispersion based on how the data points are scattered about the mean
30
standard deviation (SD)
square root of the variance, has the same units of the data
31
coefficient of variation
used for comparing the variation of 2 or more distributions
32
five number summary
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
interquartile range (IQR)
difference between the third and first quartiles
34
box and whisker plots (boxplots)
graphical representation of the five number summary
35
kurtosis
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