variance shows..
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how far the individual values are from the mean; small variance indicates
that they are clumped near the mean, vice versa
uniform/rectangular
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no hump
linear transformations
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you multiply or divide by a constant and/or add or subtract a constant
sigma
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s.d.
type II error
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failing to reject the null when the null is actually false
probability is 1-power (power is symbolized as beta)
probablity of making the CORRECT decision is equal to power
if values fall on the boundary between two bins...
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put them in the lower bin
finding standard deviation
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square root the variance
note about histograms
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can have very different shapes but can have the same mean and s
sample statistics
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characteristics of a SAMPLE - includes sample mean (xbar) and sample sd
(s) in the case of a numerical variable, and the sample proportion (p hat) in
the case of a categorical variable
continuous variable
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can take any numerical value
interval scale
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you can interpret the differences between the values; you CANNOT
directly compare quantities; i.e. IQ scores
boxplot/box and whisker plot
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max - highest whisker
Q3 - top of box
median - middle of box
Q1 - bottom of box
min - lowest whisker
* sometimes we only extend the whisker as far as 1.5 times the IQR;
circles/points beyond
percentile
Give this one a try later!
Give this one a try later!
how far the individual values are from the mean; small variance indicates
that they are clumped near the mean, vice versa
uniform/rectangular
,Give this one a try later!
no hump
linear transformations
Give this one a try later!
you multiply or divide by a constant and/or add or subtract a constant
sigma
Give this one a try later!
s.d.
type II error
Give this one a try later!
failing to reject the null when the null is actually false
probability is 1-power (power is symbolized as beta)
probablity of making the CORRECT decision is equal to power
if values fall on the boundary between two bins...
,Give this one a try later!
put them in the lower bin
finding standard deviation
Give this one a try later!
square root the variance
note about histograms
Give this one a try later!
can have very different shapes but can have the same mean and s
sample statistics
Give this one a try later!
characteristics of a SAMPLE - includes sample mean (xbar) and sample sd
(s) in the case of a numerical variable, and the sample proportion (p hat) in
the case of a categorical variable
continuous variable
, Give this one a try later!
can take any numerical value
interval scale
Give this one a try later!
you can interpret the differences between the values; you CANNOT
directly compare quantities; i.e. IQ scores
boxplot/box and whisker plot
Give this one a try later!
max - highest whisker
Q3 - top of box
median - middle of box
Q1 - bottom of box
min - lowest whisker
* sometimes we only extend the whisker as far as 1.5 times the IQR;
circles/points beyond
percentile
Give this one a try later!
