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ANATOMY OF THE STATISTICAL ALPHABET: Selected Symbols for Intro Statistics
• a: Alpha – level of significance,
•M: Median
probability of a Type I error.
• MR: Midrange
• b0: Y-Intercept
• N: Population Size
• b1: Slope of a Line
• n: Sample Size
• b: Beta – probability of a Type II error
• cf: Cumulative Frequency
• crf: Cumulative Relative Frequency
• nCr: Combination of n objects taken r at a
time
• r: Rho – Population Correlation
• rf: Relative Frequency
• s: sample standard deviation
• : population standard deviation
•  x : Standard Deviation of the sample
_
means
• p: Population Proportion
• S: Summation Notation
• P: Probability, Percentile
• t: t-test value
^
• p : (p-hat) – Sample Proportion
• : Mu – population mean
• C.V. : Critical Value
• P(B|A): Conditional Probability
•  x : Mean of the sample means
• CVar: Coefficient of Variation
• P(E): Probability of an Event
• X: Variable (Capital letters)
• D: Decile
• P (E ) : Probability of the Compliment of E
• X2: Chi-square
• d.f.: Degrees of freedom
• nPr: Permutation of n objects taken r at a time
• x : Sample mean (x-bar)
• e: Euler’s constant, 2.7183
• p: Pi
• x: Independent variable (regression)
• E: Event; Margin of Error
• Q: Quartile
• y: Dependent variable (regression)
• E(X): Expected Value
• q: (1 – p), Proportion
• y : Estimate of the dependent variable
• f: Frequency
•Q: Quartile
• H0: Null Hypothesis
• q: (1 – p), Proportion
•H1: Alternative Hypothesis (also Ha)
• r: Sample Correlation
• IQR: Inter Quartile Range
• r2: Coefficient of Determination
• k: number of samples
•R: Range
_
_
_
^
value (regression)
• z: Standardized variable; z-score
• za / 2 : Z Alpha/2 – an area in the tails of the
standard normal curve
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