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Determining the Minimum Sample Size Required definitions

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  • Confidence Interval
    A range centered on a sample mean, constructed to estimate a population mean with a specified probability.
  • Margin of Error
    The maximum amount by which a sample estimate may differ from the true population value in a confidence interval.
  • Sample Size
    The number of observations or subjects included in a statistical sample.
  • Population Mean
    The average value of a variable for the entire group being studied.
  • Critical Z-Value
    A number from the standard normal distribution corresponding to a specified confidence level.
  • Standard Deviation
    A measure of the spread or variability of a set of data values.
  • Degrees of Freedom
    The number of independent values in a calculation, often equal to sample size minus one.
  • Range Rule of Thumb
    An estimation method where the standard deviation is approximated by dividing the range by four.
  • Confidence Level
    The probability that a confidence interval contains the true population parameter.
  • Prior Information
    Data or estimates from previous studies used to inform current statistical calculations.
  • T Critical Value
    A value from the t-distribution used when estimating population parameters with small samples.
  • Maximum Margin of Error
    The largest allowable difference between the sample estimate and the population parameter.
  • Estimation
    The process of inferring the value of a population parameter based on sample data.
  • Whole Number Rounding
    The practice of increasing a decimal sample size to the next integer to ensure statistical requirements are met.