BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -The empirical rule (also called the “68-95-99.7 rule") is a guideline for how data is distributed in a normal distribution. The rule states that (approximately):-68% of the data points will fall within one standard deviation of the mean.-95% of the data points will fall within two standard deviations of the mean.

Detailed explanation-2: -The Empirical Rule. For data with a roughly bell-shaped (mound-shaped) distribution, About 68% of the data is within 1 standard deviation of the mean. About 95% of the data is within 2 standard deviations of the mean.

Detailed explanation-3: -A normal distribution has some interesting properties: it has a bell shape, the mean and median are equal, and 68% of the data falls within 1 standard deviation.

Detailed explanation-4: -The Empirical Rule states that 99.7% of data observed following a normal distribution lies within 3 standard deviations of the mean. Under this rule, 68% of the data falls within one standard deviation, 95% percent within two standard deviations, and 99.7% within three standard deviations from the mean.

Detailed explanation-5: -The Percentage Rules Hence, it’s sometimes called the 68 95 and 99.7 rule. The first part of the rule states: 68% of the data values in a normal, bell-shaped, distribution will lie within 1 standard deviation (within 1 sigma) of the mean.