Representing and Describing Data Flashcards

(39 cards)

1
Q

univariate data

A

data with only 1 variable

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2
Q

qualitative data

categorical data

A

non-numerical data

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3
Q

quantitative data

A

numerical data

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4
Q

classifications of quantitative data

A

discrete data

continuous data

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5
Q

discrete data

A

data that can be counted

able to take only specific values

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6
Q

continuous data

A

data that can be measured

able to take any values within range

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7
Q

mode

A

value that occurs most frequently in set of data

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8
Q

median

A

value that lies in middle when set of data is arranged by size

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9
Q

mean

A

average

sum of all values divided by number of values in set

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10
Q

outlier

A

extreme value in set of data that can distort results of statistical processes

able to drastically increase or decrease mean

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11
Q

range

A

simplest measurement of dispersion of set of data

found by subtracting smallest value from largest value

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12
Q

standard deviation (σx)

A

measure of amount of variation or dispersion of set of values

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13
Q

variance (σx2)

A

measure of how far set of values is spread from mean

equivalent to square of standard deviation

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14
Q

interquartile range (IQR)

A

difference between upper quartile and lower quartile

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15
Q

upper quartile (Q3)

A

data point at 75th percentile

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16
Q

lower quartile (Q1)

A

data point at 25th percentile

17
Q

population

A

entire group from which one may collect data

18
Q

sample

A

small group chosen from population

19
Q

simple random sampling (SRS)

A

selection of sample completely at random

20
Q

systematic sampling

A

selection of sample from ordered sampling frame

21
Q

convenience sampling

A

selection of sample by selecting those who are easy to reach

22
Q

limitations of convenience sampling

A

does not include random sample of participants (may lead to biased results)

23
Q

biased sampling

A

selection of sample that is not random

24
Q

quota sampling

A

selection of sample by setting certain quotas for participants

25
stratified sampling
selection of sample wherein numbers of certain categories are proportional to their number in population
26
histogram
approximate representation of distribution of numerical data
27
box-and-whisker plot box plot
graphical depiction of groups of numerical data through their quartiles
28
five-number summary needed to draw a box-and-whisker plot
minimum lower quartile median upper quartile maximum
29
outlier in relation to lower quartile
less than *Q1 - 1.5 \* IQR*
30
outlier in relation to upper quartile
greater than *Q3 + 1.5 \* IQR*
31
dispersion of values in box-and-whisker plot
25% of values are between minimum and lower quartile 25% of values are between lower quartile and median 25% of values are between median and upper quartile 25% of values are betweet upper quartile and maximum
32
cumulative frequency
sum of all frequencies up to particular value
33
requirements for drawing cumulative frequency curve
creation of cumulative frequency table with upper boundary of each class interval in one column and corresponding cumulative frequency in another
34
requirements for finding percentile
reading value on cumulative frequency curve corresponding to percentile of total frequency
35
bivariate data
data with 2 variables
36
purpose of bivariate data
comparison of paired data on 2 variables to determine if there is any correlation between them
37
positive correlation
correlation between variables wherein independent variable increases alongside dependent variable
38
negative correlation
correlation between variables wherein independent variable increases while dependent variable decreases
39
descriptions for strength of correlations
strong moderate weak