Calculators & Converters

    P(x), μ, σ2, Skewness & Kurtosis for n = 18, P = 0.36 & X = 12

    Binomial Distribution CalculatorSolved example work with steps & calculation summary to estimate the probability of x number of successes P(x), mean (μ), variance2), standard deviation (σ), coefficient of skewness & coefficient of kurtosis of Binomial distribution for number of success X = 12, success probability for each trial P = 0.36 from the total number of events n = 18. The below is the Binomial distribution calculation summary for all the above parameters for n = 18, X = 12 & P = 0.36.
    Calculation Summary
    No. of finite events (n) 18
    Probability of success/Trial (p)0.36
    Negative probability (q)0.64
    Number of success (x) 12
    P(x)0.006
    Mean (μ)6.48
    Variance (σ2)4.1472
    Standard deviation (σ)2.0365
    Coefficient Skewness0.1375
    Coefficient Kurtosis-0.0922

    Binomial Probability Distribution Workout for P(X = 12)

    The below is the example work with steps shows how to estimate the probability of total number of x successes P(x) of Binomial distribution for n = 18, X = 12 & P = 0.36, may help grade school students to solve the such binomial probability worksheet problems efficiently.Workout
    step 1 Address the formula, input parameters & values
    Number of trials (n) = 18
    Number of success (x) = 12
    Success probability for each trial p = 0.36
    P(x) = nCx px qn-x

    step 2 Find combinations for 18 CHOOSE 12
    18C12 = 18!/12!(18-12)!
    = 18!/12! x 6!
    = 6402373705728000/479001600720
    18C12 = 18564

    step 3 Find q value from p
    q = 1 - p
    q = 1 - 0.36
    q = 0.64

    step 4 Apply 18C12, p & q values in binomial distribution formula
    P(x) = 18564 x 0.3612 x 0.646

    step 5 solve the expression
    P(x) = 18564 x 0 x 0.0687
    P(x) = 0.006
    Thus 0.006 is the binomial probability of getting 12 successes from 18 total number of events with 0.36 success probability for each trial.

    Workout for μ, σ2, Skewness & Kurtosis for n = 18 & P = 0.36

    The below is the example work with steps shows how to estimate the μ, σ2, σ, coefficient of skewness & coefficient of kurtosis of Binomial distribution for n = 18 & P = 0.36, may help grade school students to solve the such binomial probability worksheet problems efficiently.Workout
    step 1 Address formula, input parameters & values.
    Input parameters
    n = 18
    p = 0.36
    q = 1 - p = 1 - 0.36
    q = 0.64

    Formula
    Mean μ = np

    Variance σ2 = npq

    Standard Deviation σ = = √npq

    Coefficient Skewness = q - p/σ
    Coefficient Kurtosis = 1 - 6pq/σ²

    step 2 Use n, p and q values to find mean, variance and standard deviation
    μ = np = 18 x 0.36
    μ = 6.48

    σ2 = npq = 18 x 0.36 x 0.64
    σ2 = 4.1472

    σ = √npq = √4.1472
    σ = 2.0365

    step 3 Apply the values in Coefficient Skewness formula
    Coefficient Skewness = q - p/σ
    = 0.64 - 0.36/2.0365
    = 0.28/2.0365
    = 0.1375
    Coefficient Skewness = 0.1375

    step 4 Apply the values in Coefficient Kurtosis formula
    Coefficient Kurtosis = 1 - 6pq/σ²
    = 1 - 6 x 0.36 x 0.64/4.1472
    = 1 - 1.3824/4.1472
    = -0.3824/4.1472
    = -0.0922
    Coefficient Kurtosis = -0.0922

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