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This is a video of Normal Distribution Word Problems Examples in probability. hope u will like it .Thanks. some info: In probability theory, the normal (or Gaussian) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. The normal distribution is useful because of the central limit theorem. In its most general form, under some conditions (which include finite variance), it states that averages of samples of observations of random variables independently drawn from independent distributions converge in distribution to the normal, that is, become normally distributed when the number of observations is sufficiently large. Physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have distributions that are nearly normal. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed. The normal distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as the Cauchy, Student's t, and logistic distributions). Even the term Gaussian bell curve is ambiguous because it may be used to refer to some function defined in terms of the Gaussian function which is not a probability distribution because it is not normalized in that it does not integrate to 1. https://en.wikipedia.org/wiki/Normal_... Normal Distributions: Definition, Word Problems Contents: What is a Normal distribution? The Standard Normal Model Normal Distribution Word Problems. Normal Distribution on the TI 89 Examples What is a Gaussian Distribution? Related Articles. What is a Normal distribution? A normal distribution curve. A normal distribution. A normal distribution, sometimes called the bell curve, is a distribution that occurs naturally in many situations. For example, the bell curve is seen in tests like the SAT and GRE. The bulk of students will score the average (C), while smaller numbers of students will score a B or D. An even smaller percentage of students score an F or an A. This creates a distribution that resembles a bell (hence the nickname). The bell curve is symmetrical. Half of the data will fall to the left of the mean; half will fall to the right. Many groups follow this type of pattern. That’s why it’s widely used in business, statistics and in government bodies like the FDA: Heights of people. Measurement errors. Blood pressure. Points on a test. IQ scores. http://www.statisticshowto.com/probab... for more: https://www.mathsisfun.com/data/stand... http://mathworld.wolfram.com/NormalDi...