HP 30b HP 20b Business Consultant and HP 30b Business Professional User's Guid - Page 79

The Statistics Menu Items, Population Dev

Page 79 highlights

Table 12-1 The Statistics Menu Items Menu Item y Std. Dev x Population Dev y Population Dev S.E.Samp.x S.E.Samp.y Pred x Pred y a b c Correlation Covariance Σx Σy Σx2 Σy2 Σxy Description Standard deviation for y: a measure of how dispersed the y data values are about the mean. Population Standard deviation for x: a measure of how dispersed the x data values are about the mean, assuming the data constitutes a complete set of data. Population Standard deviation for y: a measure of how dispersed the y data values are about the mean, assuming the data constitutes a complete set of data. Standard error for the sample x: a measure of the dispersion of x mean, assuming the data is a sampling of a large, more complete data set. Standard error for the sample y: a measure of the dispersion of y mean, assuming the data is a sampling of a large, more complete data set. Predicts x for a given hypothetical value of y, based upon the model calculated to fit the data. Predicts y for a given hypothetical value of x, based upon the model calculated to fit the data. The a coefficient for the chosen regression model, which is the slope for a linear model. The b coefficient for the chosen regression model, which is the y-intercept for a linear model. The c coefficient for the chosen regression model, applies only for ax2+bx+c. The correlation coefficient for the given (x, y) data. The correlation coefficient is a number in the range -1 through 1 that measures how closely the calculated line fits the data. A measure of how much two variables change in relation to one another. The sum of the x values. The sum of the y values. The sum of the squares of the x values. The sum of the squares for the y values. The sum of the products of the x and y values. Quartiles* Median* Maximum* Minimum* The boundaries of a given frequency distribution divided into four parts. The middle value in a given frequency distribution. The largest value in a given frequency distribution. The lowest value in a given frequency distribution. *Does not apply to the HP 20b. Statistical Operations 71

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83
  • 84
  • 85
  • 86
  • 87
  • 88
  • 89
  • 90
  • 91
  • 92
  • 93
  • 94
  • 95
  • 96
  • 97
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108
  • 109
  • 110
  • 111
  • 112
  • 113
  • 114

Statistical Operations
71
*Does not apply to the HP 20b.
y
Std. Dev
Standard deviation for
y
: a measure of how dispersed the
y
data values are about
the mean.
x
Population Dev
Population Standard deviation for
x
: a measure of how dispersed the
x
data values
are about the mean, assuming the data constitutes a complete set of data.
y
Population Dev
Population Standard deviation for
y
: a measure of how dispersed the
y
data values
are about the mean, assuming the data constitutes a complete set of data.
S.E.Samp.
x
Standard error for the sample
x
: a measure of the dispersion of
x
mean, assuming
the data is a sampling of a large, more complete data set.
S.E.Samp.
y
Standard error for the sample
y
: a measure of the dispersion of
y
mean, assuming
the data is a sampling of a large, more complete data set.
Pred
x
Predicts
x
for a given hypothetical value of
y
, based upon the model calculated to fit
the data.
Pred
y
Predicts
y
for a given hypothetical value of
x
, based upon the model calculated to fit
the data.
a
The
a
coefficient for the chosen regression model, which is the slope for a linear
model.
b
The
b
coefficient for the chosen regression model, which is the
y
-intercept for a linear
model.
c
The
c
coefficient for the chosen regression model, applies only for
ax
2
+bx+c
.
Correlation
The correlation coefficient for the given (
x
,
y
) data. The correlation coefficient is a
number in the range -1 through 1 that measures how closely the calculated line fits
the data.
Covariance
A measure of how much two variables change in relation to one another.
The sum of the
x
values.
The sum of the
y
values.
The sum of the squares of the
x
values.
The sum of the squares for the
y
values.
The sum of the products of the
x
and
y
values.
Quartiles*
The boundaries of a given frequency distribution divided into four parts.
Median*
The middle value in a given frequency distribution.
Maximum*
The largest value in a given frequency distribution.
Minimum*
The lowest value in a given frequency distribution.
Table 12-1
The Statistics Menu Items
Menu Item
Description
Σ
x
Σ
y
Σ
x
2
Σ
y
2
Σ
xy