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Student's t-Test

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Example: a machine should fill bags with 500 g. In a sample of 25 bags, the mean was 496 g with a standard deviation of 8 g. Is the machine out of adjustment? Change the values to work out your own case.

Step by step

    What each term means

    t Statistic
    The test statistic that measures how many standard errors the sample mean is from the hypothesized mean. Used when the population standard deviation is unknown and the sample is small.
    Sample Mean (x̄)
    The mean computed from the sample. It is the estimate of the population parameter based on the observed data.
    Hypothesized Mean (μ₀)
    The value of the mean under the null hypothesis (H₀). It is the value we are testing the population mean against.
    Sample Standard Deviation (s)
    The standard deviation computed from the sample. It estimates the population standard deviation when that is unknown.
    Square Root of n (√n)
    The square root of the sample size. Together with the sample standard deviation, it forms the standard error of the mean (s/√n), which measures how much the sample mean varies.