PPT-The Normal Distribution

History Abraham de Moivre 1733 consultant to gamblers Pronunciation Pierre Simon Laplace mathematician astronomer philosopher determinist Carl Friedrich Gauss mathematician and astronomer. 1 Second Normal Form 32 Third Normal Form 33 Functional Dependencies 4 FOURTH AND FIFTH NORMAL FORMS 41 Fourth Normal Form 411 Independence 412 Multivalued Dependencies 42 Fifth Normal Form 5 UNAVOI ABL E RE DUNDA NCIES 6 INTERRECORD REDUNDA NCY 7 CO Cal State Northridge. . 320. Andrew Ainsworth PhD. The standard deviation. Benefits:. Uses measure of central tendency (i.e. mean). Uses all of the data points. Has a special relationship with the normal curve. 1. 4. Continuous Random Variables and Probability Distributions. 4-1 Continuous Random Variables. 4-2 Probability Distributions and Probability Density Functions. 4-3 Cumulative Distribution Functions. Objectives:. For variables with relatively normal distributions:. Students should know the approximate percent of observations in a set of data that will fall between the mean and ± 1 . sd. , 2 . sd. 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. 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 . The Normal Curve, Skewness, Kurtosis, and Probability. VON CHRISTOPHER G. CHUA, LPT, MST. Affiliate, ESSU-Graduate School. MAED 602: STATISTICAL METHODS. Session Objectives. In this fraction of the course on Statistical Methods, graduate students enrolled in the subject are expected to do the following:. A Brief Introduction. Normal (Gaussian) Distribution. Bell-shaped distribution with tendency for individuals to clump around the group median/mean. Used to model many biological phenomena. Many . estimators . 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. 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. . and Exponential Distributions. 5. Introduction. Several specific distributions commonly occur in a variety of business situations:. N. ormal distribution—a continuous distribution . characterized . . and Exponential Distributions. 5. Introduction. Several specific distributions commonly occur in a variety of business situations:. N. ormal distribution—a continuous distribution . characterized . Section 2.2. Normal Distributions. After this section, you should be able to…. DESCRIBE and APPLY the 68-95-99.7 Rule. DESCRIBE the standard Normal Distribution. PERFORM Normal distribution calculations. ). Let x. i. ~ N(. μ. i. , σ), then the probability density function is defined as. :. Letting: are . independent identical distributed with normal distribution, then the joint distribution of .