Input and Output TermskInput Terms

C-Level: confidence level (0 s C-Level < 1)

Contrib: name of list specifying the contribution of each observed count

df: degrees of freedom

Expected: name of list that is for saving expected frequency

Freq, Freq(1), Freq(2): frequency (1 or list name)

List, List(1), List(2): list where sample data is located

Lower (Distribution): lower bound

M: number of success in population*1

Matrix (χ2 Test): name of matrix containing observed values*2

n (Hypergeometric Distribution): number of trials from population*1

n: sample size*1

n1 / n2: size of {sample 1 / sample 2}*1

N: population size (integer, n s N, M s N)

Numtrial: number of trials n*1

Observed (χ2 GOF Test): name of list containing observed counts (all cells positive integers)

Observed (χ2 Test): name of matrix containing observed values*2

p0: expected sample proportion (0 < p0 < 1)

p1 condition (2-Proportion Z Test): sample proportion test conditions*3

Pooled: pooling On or Off

pos: probability of success p (0 s p s 1)

prob (Inv. Distribution): cumulative probability value (0 s prob s 1)

Prop condition (1-Proportion Z Test): sample proportion test conditions*4

sx: sample standard deviation (0 < sx)

sx1 / sx2: sample standard deviation of {sample 1 / sample 2} (0 < sx1, 0 < sx2)

Upper (Distribution): upper bound

x (1-Proportion Z Test): sample value*1

x (1-Proportion Z Interval): data value*1

x (Binomial PD): specified trial (integer, 0 s x s n)

x (Poisson PD, Geometric PD, Hypergeometric PD): specified trial*1

x (Other than the above): data value

_

x: sample mean

_ _

x1 / x2: sample mean of {sample 1 data / sample 2 data}

x1 / x2 (1-Proportion Z Interval): data value of {sample 1 / sample 2} (integer, 0 s x1, 0 s x2)

XList / YList: x-data list / y-data list

& ρ condition (LinearReg t Test):  and ρ-value test conditions*4

λ: mean (0 < ))

(Distribution): population mean

condition (1-Sample Z Test, 1-Sample t Test): population mean value test conditions*4

0: assumed population mean

1 (2-Sample Z Test): population mean value test conditions*3

1 (2-Sample t Test): sample mean value test conditions*3

σ: population standard deviation (0 < σ)

σ1 condition (2-Sample F Test): population standard deviation test conditions*3

σ1 / σ2: population standard deviation of {sample 1 / sample 2} (0 < σ1 / 0 < σ2)

*1 positive integer

*2 positive integers in all cells for 2 × 2 and larger matrices; positive real numbers for one row matrices

*3 “” specifies two-tail test, “<” specifies one-tail test where sample 1 is smaller than sample 2, “>” specifies one-tail test where sample 1 is greater than sample 2.

*4 “” specifies two-tail test, “<” specifies lower one-tail test, “>” specifies upper one-tail test.

Chapter 7: Statistics Application

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