Stats: Normal Distribution
- Central Limit Theorem
- Theorem which stats as the sample size increases, the sampling distribution of the
sample means will become approximately normally distributed.
- Correction for Continuity
- A correction applied to convert a discrete distribution to a continuous distribution.
- Finite Population Correction Factor
- A correction applied to the standard error of the means when the sample size is more
than 5% of the population size and the sampling is done without replacement.
- Sampling Distribution of the Sample Means
- Distribution obtained by using the means computed from random samples of a specific
- Sampling Error
- Difference which occurs between the sample statistic and the population parameter due
to the fact that the sample isn't a perfect representation of the population.
- Standard Error or the Mean
- The standard deviation of the sampling distribution of the sample means. It is equal to
the standard deviation of the population divided by the square root of the sample size.
- Standard Normal Distribution
- A normal distribution in which the mean is 0 and the standard deviation is 1. It is
denoted by z.
- Also known as z-value. A standardized score in which the mean is zero and the
standard deviation is 1. The Z score is used to represent the standard normal
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