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    Standard Error of Mean for n = 6 & Population 2, 3, 2.5, 4, 2.7, . . . . , 2.8 & 3.5

    Standard Error Calculator

    Calculation summary & work with steps for n = 6 & population 2, 3, 2.5, 4, 2.7, . . . . , 2.8 and 3.5 to estimate the standard error of sample mean. The below is the calculation summary for SE of x̄ for sample size n = 6 using population standard deviation σ = 0.6198.

    Calculation Summary
    Population 2, 3, 2.5, 4, 2.7, . . . . , 2.8 & 3.5
    Sample size (n)6
    Population standard deviation (σ) 0.6198
    Standard Error of mean (x̄)0.253

    SE of x̄ Work with Steps for n = 6 & σ = 0.6198

    The below is the example work with step by step calculation shows how to estimate the standard deviation of sampling distribution of mean for sample size n = 6 and population data set 2, 3, 2.5, 4, 2.7, 3.2, 4.1, 2.9, 2.8 and 3.5 to help grade school students to solve the similar SE of x̄ worksheet problems efficiently.
    Workout :
    step 1 Address the formula, input parameters & values
    Input parameters & values
    x1 = 2, x2 = 3, x3 = 2.5, . . . . , x10 = 3.5
    Number of elements n = 10
    Sample size = 6
    Find SE of mean for 2, 3, 2.5, 4, 2.7, 3.2, 4.1, 2.9, 2.8 & 3.5

    step 2 Find the mean for 2, 3, 2.5, 4, 2.7, 3.2, 4.1, 2.9, 2.8 & 3.5

    µ = n i = 1 Xin
    =(2 + 3 + 2.5 + . . . . + 3.5)/10
    µ = 3.07

    step 3 Find the population standard deviation for 2, 3, 2.5, 4, 2.7, 3.2, 4.1, 2.9, 2.8 & 3.5

    Formula to Calculate Standard Deviation

    =√{ (2 - 3.07)² + (3 - 3.07)² + (2.5 - 3.07)² + . . . . + (3.5 - 3.07)²}/10

    = (-1.07)² + (-0.07)² + (-0.57)² + . . . . + (0.43)²/10

    = (1.1449 + 0.0049 + 0.3249 + . . . . + 0.1849)/10

    = 3.841/10

    = √0.3841

    σ = 0.6198

    step 4 Apply standard deviation and sample size values in the below standard error formula

    SEμ = σn

    =0.6198/ √6

    = 0.253

    For the dataset 2, 3, 2.5, 4, 2.7, 3.2, 4.1, 2.9, 2.8 & 3.5

    3.07 is the sample mean

    0.6198 is the population standard deviation

    0.253 is the standard error of mean

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