kOutput Terms

a: regression constant term (y-intercept)

A df: df*5 of Factor A

A F: F value of Factor A

A MS: MS*6 of Factor A

A p: p-value of Factor A

A SS: SS*7 of Factor A

AB df*8: df*5 of Factor A × Factor B

AB F*8: F value of Factor A × Factor B

AB MS*8: MS*6 of Factor A × Factor B

AB p*8: p-value of Factor A × Factor B

AB SS*8: SS*7 of Factor A × Factor B

b: regression coefficient (slope)

B df: df*5 of Factor B

B F: F value of Factor B

B MS: MS*6 of Factor B

B p: p-value of Factor B

B SS: SS*7 of Factor B

d:df: degrees of freedom of denominator (positive integer)

df: degrees of freedom

Errdf: df*5 of error

ErrMS: MS*6 of error

ErrSS: SS*7 of error

F: F value

Lower: confidence interval lower limit

n:df: degrees of freedom of numerator (positive integer)

p: estimated sample proportion

p1 / p2: estimated proportion of {sample 1 / sample 2}

prob (Binomial PD, Poisson PD, Geometric PD, Hypergeometric PD): probability

prob (Binomial CD, Poisson CD, Geometric CD, Hypergeometric CD): cumulative probability

prob (Normal PD, Student’s t PD, χ2 PD, F PD): probability density

prob (Normal CD, Student’s t CD, χ2 CD, F CD): distribution probability

prob (Test): p value

r: correlation coefficient

r2: coefficient of determination

sx: sample standard deviation

sx1 / sx2: sample standard deviation of {sample 1 / sample 2} (Displayed only for list format.)

sp: pooled sample standard deviation

se: standard error of estimation

SEb: standard error of the least squares slope

t: t value

t Low: lower bound value you input

t Up: upper bound value you input

Upper: confidence interval upper limit

x1InvN: Upper bound when Tail:Left, Lower bound when Tail:Right or Tail:Center

x2InvN: Upper bound when Tail:Center

xInv: inverse cumulative distribution

￿xInv: recalculation value of inverse cumulative distribution*9

z: z value

z Low: standardized lower limit z value

z Up: standardized upper limit z value

χ2: χ2 value

*5 degrees of freedom

*6 mean square

*7 sum of squares

*8 Note that “AB df ”, “AB MS ”, “AB SS ”, “AB F ”, and “AB p” are not displayed in the calculation result window if there are no repeated data pairs.

*9 In the calculation result window for certain distributions, “￿xInv” is displayed only when there may be a possibility of rounding error. To account for possible rounding error, ClassPad additionally obtains the result using the probability that is next lowest for the least significant digit. For example, if the probability is 0.61, ClassPad would recalculate using 0.60. The recalculation result is only shown if it is different from the original one.

Chapter 7: Statistics Application

149