According to the Empirical rule, sometimes called the Normal rule, for a symmetrical, bell shaped distribution of data, we will find that approximately what percent of observations are contained within plus and minus one standard deviation of the mean A. 50 B. 68 C. 75 D. 95
B)68
Explanation:
In statistics, the 68–95–99.7 rule, also known as the empirical rule, is a shorthand used to remember the percentage of values that lie within a band around the mean in a normal distribution with a width of two(+1 & -1),four and six standard deviations, respectively; more accurately, 68.27%, 95.45% and 99.73% of the values lie within one, two and three standard deviations of the mean, respectively.
In mathematical notation, these facts can be expressed as follows, where X is an observation from a normally distributed random variable, is the mean of the distribution, and is its standard deviation,
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