PPT-How can we use the normal distribution curve to find percentages and amounts?

The Standard Deviation percentages can be broken into smaller percentage parts On the 5 th slide you saw the one standard deviation above and below the mean contained 68 of the data Two standard deviations above and below the mean contained 95 of the data . Explaining the Normal Distribution. Preliminaries: How to describe data. Discussion Question: How do we describe data in Statistics?. In this course, the way we describe data is by using the C.U.S.S. Method. We look at these characteristics:. Click the mouse button or press the Space Bar to display the answers.. Statistics are from ______ and parameters are from ________. In a uniform distribution everything is ______ likely.. If a distribution is skewed right, which is greater, the mean or the median and why?. History. Abraham de . Moivre. (1733) – consultant to . gamblers. . Pronunciation. .. Pierre Simon . Laplace – mathematician, astronomer, philosopher, determinist.. Carl Friedrich . Gauss – mathematician and astronomer.. 2.1 Density Curves and the Normal Distributions. 2.2 Standard Normal Calculations. 2. Histogram for Strength of Yarn Bobbins. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. Bobbin #1: 17.15 g/tex. 1. Normal Distribution. Log Normal Distribution. Gamma Distribution. Chi Square Distribution. F Distribution. t Distribution. Weibull Distribution. Extreme Value Distribution (Type I and II. ). Exponential. Mrs. Aldous, Mr. . Beetz. & Mr. Thauvette. DP SL Mathematics. Normal Distribution. You should be able to…. Describe the properties of a normal distribution with mean and standard deviation . State:. Express the problem in terms of the observed variable . x. .. Plan:. Draw a picture of the distribution and shade the area of interest under the curve.. Do:. Perform calculations.. Standardize. Probability Distribution. Imagine that you rolled a pair of dice. What is the probability of 5-1. ?. To answer such questions, we need to compute the whole population for possible results of rolling two dices. . z. Scores. Chapter 6. The . Bell . Curve is Born (1769). A Modern Normal Curve. Development of a Normal Curve: Sample of 5. Development of a Normal Curve: Sample of 30. Development of a Normal Curve: Sample of 140. What it is. History. Uses. 1. Normal Curve Characteristics. Inflection points (at and – 1 SD). Where slopes changes from down to out.. Axes . X –axis (abscissa) =Scores (as usual). Y –axis (ordinate) = . What it is. History. Uses. 1. Normal Curve Characteristics. Inflection points (at and – 1 SD). Where slopes changes from down to out.. Axes . X –axis (abscissa) =Scores (as usual). Y –axis (ordinate) = . IB Mathematical Studies Standard Level: For the IB diploma (International Baccalaureate).   by Peter Blythe, Jim . Fensom. , Jane Forrest and Paula Waldman De . Tokman. (26 Jul 2012). . Information from this book has been used in this PowerPoint.. Dehaish. Outlines. Normal distribution. Standard normal distribution . Find probability when known z score . Find z score from known areas . Conversion to Standard normal distribution.. Sampling distribution of sample mean . Normal random variables. The Normal distribution is by far the most important and useful probability distribution in statistics, with many applications in economics, engineering, astronomy, medicine, error and variation analysis, etc. The Normal distribution is often called the bell curve, due to its distinctive shape..