Calculators & Converters
    Statistics & Probability
    Probability
    Conditional Probability
    nPr - Permutations
    Permutations (nPr) for Multiple Subsets
    Permutations (nPr) for Multiple Subsets
    nCr - Combinations
    Sample Size
    Population Variance Estimation
    Population Variance
    Standard Deviation
    Population Standard Deviation
    Z-Test for x̄ Significance
    Z-Test for Significance of (x̄1 - x̄2) with (σ1 ≠ σ2)
    Z-Test for Significance of (x̄1 - x̄2) with (σ1 = σ2)
    Z-Test for Proportion Significance
    Z-Test for Significance of (p1 - p2) with P1 & P2
    Z-Test for Significance (p1 - p2) with unknown P1 & P2
    Students t-Test for Mean Significance
    Students t-Test for (x̄1 - x̄2) Significance
    F-Test between Sample Variances
    One-Way ANOVA
    Two-Way ANOVA
    CHI-squared Test
    Standard (Z) Score
    Standard Error (SE) of Sample Mean
    SE of Difference between Two Sample Means
    Standard Error (SE) formula for difference between two sample means
    SE of Observed Sample Proportion
    Standard Error (SE) formula for observed sample proportion
    SE of difference between 2 sample proportions
    Standard Error (SE) formula for difference between two sample proportions
    Confidence Interval for Mean - Infinite Population
    Confidence Interval for Mean - Finite Population
    Confidence Interval (CI) formula for Mean - Finite Population
    CI for Proportion - Infinite Population
    Confidence Interval formula for Proportion - Infinite Population
    CI for Proportion - Finite Population
    Confidence Interval formula for Proportion - Finite Population
    Margin of Error
    Covariance of X & Y
    Correlation Coefficient
    Linear Regression
    Coefficient of Variation
    Normal Probability Distribution
    Poisson Probability Distribution
    Binomial Probability Distribution
    Skewness & Kurtosis - Binomial Distribution
    Binomial Distribution Formula for Skewness and Kurtosis
    Negative Binomial Probability Distribution
    Exponential Probability Distribution

    Statistics & Probability Functions Basic Formulas

    The complete list of statistics & probability functions basic formulas to know how to manually solve the calculations. Users may download the statistics & probability formulas in PDF format to use them offline to collect, analyze, interpret, present & organize numerical data in large quantities to design diverse statistical surveys & experiments. These basic formulas of statistics & probability functions help users, learners, teachers, professionals or researchers to analyze, model, design & test various statistical surveys & experiments. These formulas reference include the basic functions of mean, sample size, standard deviation, standard error, z score, margin of error, confidence interval, covariance, correlation coefficient, probability, regression, permutations, combinations, normal distribution, binomial distribution, poisson distribution, exponential distribution, t-distribution, ANOVA, chi squared & variance to design & test diverse statistical surveys & experiments. Statistics & probability functions are used in math, science, engineering, finance, health, digital networks, data processing, social concerns, etc to research & analyze the data to draw conclusions or for various purposes.
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