Descriptive Statistics II Flashcards

(39 cards)

1
Q

Multiple data sets from data independent data sources

A

Boxplot/Box-whisker plot

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2
Q

It can tell if your data is symmetrical, how tightly grouped, and how it is skewed

A

Boxplot/Box-Whisker Plot

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3
Q

Five values needed for boxplot

A

LV, HV, Q1, Q2 (median), Q3

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4
Q

measurements obtained by using data values from SAMPLES

A

Statistics

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5
Q

measurements obtained by using all data values from POPULATION

A

PARAMETER

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6
Q

measures of central tendency

A

mean, median, mode, midrange

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7
Q

the arithmetic average and is the sum of all divided by the total number of values

A

mean

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8
Q

it is the middle point in data set that has been ordered; it is the halfway point

A

median

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9
Q

it can be used for open-ended distribution

A

median

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10
Q

most frequent data value and has three types

A

mode

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11
Q

three types of mode

A

unimodal, bimodal, multimodal

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12
Q

rough estimate of the middle and can be affected by 1 extremely high/low value

A

midrange

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13
Q

mean of data set in which not all values are equally represented

A

weighted mean

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14
Q

considers an additional “factor”, “weight”, “meaning”

A

weighted mean

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15
Q

if the mean is greater than the median then it is

A

positively skewed

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16
Q

if the mean is less than the median then it is

A

negatively skewed

17
Q

it tells about the measure of dispersion

18
Q

three types of kurtosis

A

flat (platykuric), highly peak (leptokurtic), bell-shaped (mesokurtic)

19
Q

measures of variation

A

variance, standard deviation, range, coefficient of variation

20
Q

simplest of the the measurement of variation

21
Q

it is the distance between HV and LV

22
Q

it is the average of the distance from each data point in a particular population to the MEAN

23
Q

values are squared to eliminate negative signs

24
Q

it measures the spread of population data

A

population variance

25
measures the spread of sample data
sample variance
26
it is the squareroot of the variance
standard deviation
27
indicates the extent of deviation for a group as a whole
standard deviation
28
allows comparison of SD when the units are different
Coefficient of Variation
29
result is expressed in percentage
CVar
30
measures of position
standard score/z score, percentile, decile, quartile, interquartile
31
number of standard deviations that a data value is above or below the mean
z score
32
it can standardized raw data from 2 or more samples
z score
33
if z score is positive then it is
above mean
34
if z score is zero then it is
the same as mean
35
if z score is negative then it is
lower than mean
36
it is used in EDUCATIONAL and HEALTH-RELATED field to indicate position of an individual in a group
Percentile
37
can be used as rough measurement of variability in exploratory data analysis
interquartile
38
it is the difference between Q1 and Q3
interquartile
39
range of middle 50% of the data and is sued to identify outliers
interquartile