Bivariate data set : data set consisting of observations on three different attributes.
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13%
T
87%
F
.............data set consisting of observations on two or more attributes
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16%
Bivariate
82%
Multivariate
2%
Univariate
each sample of the same size has the same chance (probability) of being selected.
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6%
Stratified Random Sampling
6%
Cluster Sampling
88%
Simple Random Sampling
we first divide the population into nonoverlapping subgroups, which are called strata
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6%
Simple Random Sampling
12%
Cluster Sampling
81%
Stratified Random Sampling
Cluster Sampling : the whole population is first divided into (geographical) subgroups called strata
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43%
T
57%
F
if mean > median, then .................. (مهم اوووي)
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83%
Right skewed
13%
Left skewed
4%
Both of them
if median > mean, then.......... (مهم اوي)
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10%
right skewed
85%
left skewed
4%
None of them
1%
Both of them
The information is recorded as numbers and represents an objective measurement or a count
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95%
Quantitative
5%
Qualitative
Taste, eye, colour, architectural style
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9%
Quantitative variables
91%
Qualitative variables
The information represents characteristics that you do not measure with number
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10%
Quantitative variables
90%
Qualitative variables
Histograms are a standard way to graph .............. variables.
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81%
continuous
19%
discrete
Data recorded in the sequence in which they are collected and before they are processed or ranked.
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13%
ungrouped data
87%
Raw Data
Data sets are organized into tables, and data are displayed using ..........
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8%
tree
92%
graphs
A frequency distribution for qualitative data lists all categories and the number of elements that belong to each of the categories.
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91%
T
9%
F
Relative frequency of a category =
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10%
Frequency of that category * Sum of all frequencies
90%
Frequency of that category / Sum of all frequencies
Data presented in the form of a frequency distribution are called ungrouped data.
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28%
T
72%
F
The bar graph and the pie chart are two common types of graphs that are used to display quantitative data.
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49%
T
51%
F