A normal distribution is a distribution that is bell-shaped and symmetrical. The mean, median, and mode are measures of central tendency. In a normal distribution, all are the same value.
Variance and standard deviation are two measures of variability. Standard deviation is the square root of the variance; therefore, variance is standard deviation squared.
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Given a normal distribution with µ = 80, σ= 5, and given a sample size of n = 25, describe the following characteristics of the sampling distribution:
1. Central tendency
2. Variability
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