EasyManua.ls Logo

HP HP-20S - Mean, Standard Deviation, and Summation Statistics

HP HP-20S
132 pages
Print Icon
To Next Page IconTo Next Page
To Next Page IconTo Next Page
To Previous Page IconTo Previous Page
To Previous Page IconTo Previous Page
Loading...
Keys
Description
Y
to
Display
()
Standard
deviation
of
Standard
deviation
of
the
x-values.”
the
y-values
if
you
en-
tered
y-data.”
y-value
(]
Estimate
of
X
for
a
Correlation
given value
of
y.
coefficient.t
x-value
(]
Estimate
of
y
for
a
Correlation
given value
of
x.
coefficient.t
()
Slope
(m)
of
the
calcu-
y-intercept
(b)
of
the
lated
line.
calculated
line.
*
The
standard
deviation
is
a
measure
of
how
dispersed
the
numbers
are
about
the
mean.
The
HP-20S
calculates
the
sample
standard
deviation,
which
assumes
the
data
is
a
sam-
pling
of
a
larger,
complete
set
of
data.
If
the
data
constitutes
the
entire
population
of
data,
the
true
population,
refer
to
page
55,
“Calculating
the
Population
Standard
Deviation.”
t
The
correlation
coefficient
is
a
number
in
the
range
—1
through
+1
that
measures
how
closely
the
data
fits
the
calculated
line.
A
value
of
+1
indicates
a
perfect
positive
correla-
tion,
and
—1
indicates
a
perfect
negative
correlation.
A
value
close
to
zero
indicates
the
curve
is
a
poor
fit.
Mean,
Standard
Deviation,
and
Summation
Statistics
You
can
calculate
the
mean,
standard
deviation,
n,
Zx,
and
Zx?
of
x-data.
For
x,y-data,
you
can
also
calculate
the
mean
and
standard
deviation
of
the
y-data
and
Zy,
Zy?,
and
Zxy.
Example:
Calculating
the
Mean,
Standard
Deviation,
and
Root
Mean
Square.
A
yacht
captain
wants
to
determine
how
long
it
takes
to
change
a
sail.
She
randomly
chooses
six
members
of
her
crew,
ob-
serves
them
as
they
carry
out
the
sail
change,
and
records
the
number
of
minutes
required:
4.5,
4,
2,
3.25,
3.5,
3.75.
54
5:
Statistical
Calculations

Table of Contents