Categorical (Qualitative) Data
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attributes, labels, or values that do not represent counts or measurements.
Range
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The difference between the maximum and minimum data entries in the set.
The data must be quantitative.
Range = (Max. data entry) - (Min. data entry)
Stratified Sample:
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-the population is subdivided into two or more subgroups or strata, so that
members of a given group share the same characteristics, but the groups
themselves differ. Then random samples are drawn from each subgroup.
-ex. freashman, soph, jr, senior...
Selection Bias (undercoverage):
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-the sample excludes part of the population
-Example: picking names from the white pages of a phonebook for a
consumer interest survey
Sample Standard Deviation
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, 𝒔=√(𝒔^𝟐 )=√((∑▒〖(𝒙−𝒙 ̅)〗^𝟐 )/(𝒏−𝟏))
Single Blind Experiment:
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subjects do not know which treatment they receive
Deviation:
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-The difference between a given data value, x, and the mean of the data
set.
-For population data, deviation of x = x - μ
-For sample data, deviation of x = x - x(with line on the top)
Systematic Sample:
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(1 in k sampling): often used when sampling from a list. Randomly select
some starting point, then select every kth element on the list.
Cluster Sample:
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attributes, labels, or values that do not represent counts or measurements.
Range
,Give this one a try later!
The difference between the maximum and minimum data entries in the set.
The data must be quantitative.
Range = (Max. data entry) - (Min. data entry)
Stratified Sample:
Give this one a try later!
-the population is subdivided into two or more subgroups or strata, so that
members of a given group share the same characteristics, but the groups
themselves differ. Then random samples are drawn from each subgroup.
-ex. freashman, soph, jr, senior...
Selection Bias (undercoverage):
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-the sample excludes part of the population
-Example: picking names from the white pages of a phonebook for a
consumer interest survey
Sample Standard Deviation
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, 𝒔=√(𝒔^𝟐 )=√((∑▒〖(𝒙−𝒙 ̅)〗^𝟐 )/(𝒏−𝟏))
Single Blind Experiment:
Give this one a try later!
subjects do not know which treatment they receive
Deviation:
Give this one a try later!
-The difference between a given data value, x, and the mean of the data
set.
-For population data, deviation of x = x - μ
-For sample data, deviation of x = x - x(with line on the top)
Systematic Sample:
Give this one a try later!
(1 in k sampling): often used when sampling from a list. Randomly select
some starting point, then select every kth element on the list.
Cluster Sample:
