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A normality test can be accomplished graphically and mathematically. Measures of Central Tendency and Dispersion a Mean, Median, Mode- In statistics, a measure of central tendency is a vital or representative value for the probability distribution. It may also be known as a center of the distribution. The supreme common measures of central tendency are the arithmetic mean, the median and the mode.

Standard error is a statistical word that processes the exactness with that particular sample which signifies a population. Describing in in statistical way, a sample mean differs from the definite mean of a population. This deviation is called as the standard error. As the quantity of experimentations upturns, the exact ratio of results will join on the theoretical, or predictable, ratio of consequences. The central limit theorem clarifies that why the normal distribution rises so commonly and why it is normally an outstanding estimate for the mean of an assemblage of data.

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