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14.2.2: Symbols and Their Meanings

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    46166
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    Chapter (1st used) Symbol Spoken Meaning
    Sampling and Data \(\sqrt{ } \) The square root of same
    Sampling and Data \(\pi\) Pi 3.14159… (a specific number)
    Descriptive Statistics \(Q_1\) Quartile one the first quartile
    Descriptive Statistics \(Q_2\) Quartile two the second quartile
    Descriptive Statistics \(Q_3\) Quartile three the third quartile
    Descriptive Statistics \(IQR\) interquartile range \(Q_3 – Q_1 = IQR\)
    Descriptive Statistics \(\overline X\) \(x\)-bar sample mean
    Descriptive Statistics \(\mu\) mu population mean
    Descriptive Statistics \(s\) s sample standard deviation
    Descriptive Statistics \(s^2\) \(s\) squared sample variance
    Descriptive Statistics \(\sigma\) sigma population standard deviation
    Descriptive Statistics \(\sigma^2\) sigma squared population variance
    Descriptive Statistics \(\Sigma\) capital sigma sum
    Probability Topics \(\{ \}\) brackets set notation
    Probability Topics \(S\) S sample space
    Probability Topics \(A\) Event A event A
    Probability Topics \(P(A)\) probability of A probability of A occurring
    Probability Topics \(P(A|B)\) probability of A given B prob. of A occurring given B has occurred
    Probability Topics \(P(A\cup B)\) prob. of A or B prob. of A or B or both occurring
    Probability Topics \(P(A\cap B)\) prob. of A and B prob. of both A and B occurring (same time)
    Probability Topics \(A^{\prime}\) A-prime, complement of A complement of A, not A
    Probability Topics \(P(A^{\prime})\) prob. of complement of A same
    Probability Topics \(G_1\) green on first pick same
    Probability Topics \(P(G_1)\) prob. of green on first pick same
    Discrete Random Variables \(PDF\) prob. density function same
    Discrete Random Variables \(X\) X the random variable X
    Discrete Random Variables \(X \sim\) the distribution of X same
    Discrete Random Variables \(\geq\) greater than or equal to same
    Discrete Random Variables \(\leq\) less than or equal to same
    Discrete Random Variables \(=\) equal to same
    Discrete Random Variables \(\neq\) not equal to same
    Continuous Random Variables \(f(x)\) f of x function of x
    Continuous Random Variables \(pdf\) prob. density function same
    Continuous Random Variables \(U\) uniform distribution same
    Continuous Random Variables \(Exp\) exponential distribution same
    Continuous Random Variables \(f(x) =\) f of \(X\) equals same
    Continuous Random Variables \(m\) m decay rate (for exp. dist.)
    The Normal Distribution \(N\) normal distribution same
    The Normal Distribution \(z\) z-score same
    The Normal Distribution \(Z\) standard normal dist. same
    The Central Limit Theorem \(\overline X\) X-bar the random variable X-bar
    The Central Limit Theorem \(\mu_{\overline{x}}\) mean of X-bars the average of X-bars
    The Central Limit Theorem \(\sigma_{\overline{x}}\) standard deviation of X-bars same
    Confidence Intervals \(CL\) confidence level same
    Confidence Intervals \(CI\) confidence interval same
    Confidence Intervals \(EBM\) error bound for a mean same
    Confidence Intervals \(EBP\) error bound for a proportion same
    Confidence Intervals \(t\) Student's t-distribution same
    Confidence Intervals \(df\) degrees of freedom same
    Confidence Intervals \(t_{\frac{\alpha}{2}}\) student t with α/2 area in right tail same
    Confidence Intervals \(p^{\prime}\) p-prime sample proportion of success
    Confidence Intervals \(q^{\prime}\) q-prime sample proportion of failure
    Hypothesis Testing \(H_0\) H-naught, H-sub 0 null hypothesis
    Hypothesis Testing \(H_a\) H-a, H-sub a alternate hypothesis
    Hypothesis Testing \(H_1\) H-1, H-sub 1 alternate hypothesis
    Hypothesis Testing \(\alpha\) alpha probability of Type I error
    Hypothesis Testing \(\beta\) beta probability of Type II error
    Hypothesis Testing \(\overline{X 1}-\overline{X 2}\) X1-bar minus X2-bar difference in sample means
    Hypothesis Testing \(\mu_{1}-\mu_{2}\) mu-1 minus mu-2 difference in population means
    Hypothesis Testing \(P_{1}^{\prime}-P_{2}^{\prime}\) P1-prime minus P2-prime difference in sample proportions
    Hypothesis Testing \(p_{1}-p_{2}\) p1 minus p2 difference in population proportions
    Chi-Square Distribution \(X^2\) Ky-square Chi-square
    Chi-Square Distribution \(O\) Observed Observed frequency
    Chi-Square Distribution \(E\) Expected Expected frequency
    Linear Regression and Correlation \(y = a + bx\) y equals a plus b-x equation of a straight line
    Linear Regression and Correlation \(\hat y\) y-hat estimated value of y
    Linear Regression and Correlation \(r\) sample correlation coefficient same
    Linear Regression and Correlation \(\varepsilon\) error term for a regression line same
    Linear Regression and Correlation \(SSE\) Sum of Squared Errors same
    F-Distribution and ANOVA \(F\) F-ratio F-ratio
    Table B2 Symbols and their Meanings

    14.2.2: Symbols and Their Meanings is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

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