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Created by
Norien Antonette
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Cards (21)
measure
of
central
tendency
a summary measure that attempts to describe a whole set of data with a single value that represents the middle or center of its distribution
mean
the sum of the value of each observation in a dataset divided by the number of observation
mean
also known as the arithmetic average
median
the middle value in distribution when the values are arranged in
ascending
or
descending
order
the median divides the distribution in
half
mode
the most commonly occuring value in a distribution
steps in interpolation
locate
the position on the given
data
subtract the 3rd value to the 2nd value
multiply
the
result
by
the
decimal
part
on
the
position
and
into
the
obtained
value
on
step
2
add
the
result
in
step
3
to
the
smallest
value
used
in
step
1
quartile
the score points which divided a distribution into
four
equal parts
formula of lower quartile
Q1
=
1/4
(
n+1
)
formula of upper quartile
Q3
=
3
/
4
(
n
+
1
)
decile
are the nine score points which divides a distribution into ten equal parts.
formula of decile (ungrouped)
Dk =
k
/
10
(
n
+
1
)
percentile
are the ninety-nine score points which divide a distribution into one hundred equal parts, so that each part represents the
data
set.
formula of percentile (ungrouped)
Pk =
k
/
100
(
n
+
1
)
the difference between Q3 and
Q1
is the
Interquartile
Range
formula of quartile (grouped data)
Qk=
LB
+ (
kN/4
-
Cfb
over
Fqk
)
i
formula of decile (grouped data)
Dk=
LB
+ (
kN/10
-
Cfb
over
Fdk
)
i
formula of percentile (grouped data)
Pk=
LB
+ (
kN/100
-
Cfb
over
Fpk
)
i
Grouped Data
LB
= Lower Boundery
N
= total frequency
Cfb=
cumulative frequency of the class before the Qk class
F
= frequency of the Qk class
i
= size of class interval
k
= nth quartile, where n= 1, 2 and 3
population mean
u
(pronounced
'mu'
)
sample mean
x
- (pronounced
x-bar
)