PPT-Chapter 6: Standard Scores and the Normal Curve

Normal distributions show up all over the place The standard normal distribution The standard normal distribution is a continuous distribution It has a mean of 0 and a standard deviation of 1. http. ://www.youtube.com/watch?v=xDIyAOBa_yU. The Standard Normal Distribution. 1. Notice that the x axis is . standard scores. ,. also called . z scores. .. This means that the distribution has a . 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:. History. Abraham de . Moivre. (1733) – consultant to . gamblers. . Pronunciation. .. Pierre Simon . Laplace – mathematician, astronomer, philosopher, determinist.. Carl Friedrich . Gauss – mathematician and astronomer.. 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. 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:. 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. Which of these variables is most likely to have a Normal distribution?. (a)Income per person for 150 different countries. (b)Sale prices of 200 homes in Santa Barbara, CA. (c)Lengths of 100 newborns in Connecticut. 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. 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) = . Bell Ringer Mensa, the largest high-IQ society, accepts SAT scores as indicating intelligence. Assume that the mean combined SAT score is 1500, with standard deviation 300. Jacinto scored a combined 2070. 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 . The Normal Curve. Notation. σ. = Population SD. S = Sample SD. µ = Population Mean. x̄ = Sample Mean. The Normal Curve. An individual has a score of . 26. on a leadership test.. Is that person a particularly good leader?.