Symbol Sheet / SWT
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Updated 5 Nov 2020 (What’s New?) Copyright © 2002–2025 by Stan Brown, BrownMath.com
View orPrint: These pages change automatically for your screen or printer. Underlined text, printed URLs, and the table of contents become live links on screen; and you can use your browser’s commands to change the size of the text or search for key words. If you print, I suggest black-and-white, two-sided printing.| Relational Symbols | |||
|---|---|---|---|
| = | equalsis the same as | ≠ | is not equal tois different from |
| > | is greater thanis more thanexceedsis above | ≥or >= | is greater than or equal tois at leastis not less than |
| < | is less thanis fewer thanis below | ≤or <= | is less than or equal tois at mostdoes not exceedis not greater thanis no more than |
| A < x < B | x is between A and B, exclusive | ||
| A ≤ x ≤ B | x is between A and B, inclusive | ||
| A ≈ B | A is approximately equal to B | ||
Here are symbols for various sample statistics and the corresponding population parameters. They are not repeated in the list below.
| samplestatistic | populationparameter | description |
|---|---|---|
| n | N | number of members of sample or population |
| x̅ “x-bar” | μ “mu”or μx | mean |
| M or Medor x̃ “x-tilde” | (none) | median |
| s (TIs say Sx) | σ “sigma” or σx | standard deviationFor variance, apply a squared symbol (s² or σ²). |
| r | ρ “rho” | coefficient of linear correlation |
| p̂ “p-hat” | p | proportion |
| z t χ² | (n/a) | calculated test statistic |
μ and σ can take subscripts to show what you are taking the mean or standard deviation of. For instance, σx̅ (“sigma sub x-bar”) is the standard deviation of sample means, or standard error of the mean.
Roman Letters
- b = y intercept of a line. Defined here in Chapter 4. (Some statistics books use b0.)
- BD or BPD = binomial probability distribution. Defined here in Chapter 6.
- CI = confidence interval. Defined here in Chapter 9.
- CLT = Central Limit Theorem. Defined here in Chapter 8.
- d = difference between paired data. Defined here in Chapter 11.
- df or ν “nu” = degrees of freedom in a Student’s t or χ² distribution. Defined here in Chapter 9. Defined here in Chapter 12.
- DPD = discrete probability distribution. Defined here in Chapter 6.
- E = margin of error, a/k/a maximum error of the estimate. Defined here in Chapter 9.
- f = frequency. Defined here in Chapter 2.
- f/n = relative frequency. Defined here in Chapter 2.
- HT = hypothesis test. Defined here in Chapter 10.
- Ho = null hypothesis. Defined here in Chapter 10.
- H1 or Ha = alternative hypothesis. Defined here in Chapter 10.
- IQR = interquartile range, Q3−Q1. Defined here in Chapter 3.
- m = slope of a line. Defined here in Chapter 4. (The TI-83 uses a and some statistics books use b1.)
- M or Med = median of a sample. Defined here in Chapter 3.
- n = sample size, number of data points. Defined here in Chapter 2. Also, number of trials in a probability experiment with a binomial model. Defined here in Chapter 6.
- N = population size.
- ND = normal distribution, whose graph is a bell-shaped curve; also “normally distributed”. Defined here in Chapter 7.
- p = probability value. The specific meaning depends on context.
In geometric and binomial probability distributions, p is the probability of “success” (defined here in Chapter 6) on any one trial and q = (1−p) is the probability of “failure” (the only other possibility) on any one trial.
In hypothesis testing, p is the calculated p-value (defined here in Chapter 10), the probability that rejecting the null hypothesis would be a wrong decision.
In tests of population proportions, p stands for population proportion and p̂ for sample proportion (see table above).
- P(A) = the probability of event A.
- P(AC) or P(not A) = the probability that A does not happen. Defined here in Chapter 5.
- P(B | A) = the probability that event B will happen, given that event A definitely happens. It’s usually read as the probability of B given A. Defined here in Chapter 5.
Caution! The order of A and B may seem backward to you at first.
- P80 or P80 = 80th percentile (Pk or Pk = k-th percentile) Defined here in Chapter 3.
- q = probability of failure on any one trial in binomial or geometric distribution, equal to (1−p) where p is the probability of success on any one trial. Defined here in Chapter 6.
- Q1 or Q1 = first quartile (Q3 or Q3 = third quartile) Defined here in Chapter 3.
- r = linear correlation coefficient of a sample. Defined here in Chapter 4.
- R² = coefficient of determination. Defined here in Chapter 4.
- s = standard deviation of a sample. Defined here in Chapter 3.
- SD (or s.d.) = standard deviation. Defined here in Chapter 3.
- SEM = standard error of the mean (symbol is σx̅). Defined here in Chapter 8.
- SEP = standard error of the proportion (symbol is σp̂). Defined here in Chapter 8.
- X (capital X) = a variable.
- x (lower-case x) = one data value (“raw score”). As a column heading, x means a series of data values.
- x̅ “x-bar” = mean of a sample. Defined here in Chapter 3.
- x̃ “x-tilde” = median of a sample. Defined here in Chapter 3.
- ŷ “y-hat” = predicted average y value for a given x, found by using the regression equation. Defined here in Chapter 4.
- z = standard score or z-score. Defined here in Chapter 3.
- z(area) or zarea = the z-score, such that that much of the area under the normal curve lies to the right of that z. This is not a multiplication! (See The z Function.)
Greek Letters
- α “alpha” = significance level in hypothesis test, or acceptable probability of a Type I error (probability you can live with). Defined here in Chapter 10. 1−α = confidence level.
- β “beta” = in a hypothesis test, the acceptable probability of a Type II error; 1−β is called the power of the test.
- μ mu, pronounced “mew” = mean of a population. Defined here in Chapter 3.
- ν nu: see df, above.
- ρ rho, pronounced “roe” = linear correlation coefficient of a population.
- σ “sigma” = standard deviation of a population. Defined here in Chapter 3.
- σx̅ “sigma-sub-x-bar”; see SEM above.
- σp̂ “sigma-sub-p-hat”; see SEP above.
- ∑ “sigma” = summation. (This is upper-case sigma. Lower-case sigma, σ, means standard deviation of a population; see the table near the start of this page.) See ∑ Means Add ’em Up in Chapter 1.
- χ² “chi-squared” = distribution for multinomial experiments and contingency tables. Defined here in Chapter 12.
What’s New?
- 5 Nov 2020: Convert document to HTML5, and italicize the variables.
- 14 Feb 2018: Add x̃ for the median, as suggested by reader “Trone”.
- (intervening changes suppressed)
- 27 Sept 2002: New article.
Updates and new info: https://BrownMath.com/swt/
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