PPT-The Normal Curve Chapter 5

The Normal Curve Notation σ Population SD S Sample SD µ Population Mean x Sample Mean The Normal Curve An individual has a score of 26 on a leadership test Is that person a particularly good leader. 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:. Section 14.5. Curvilinear Motion, Curvature. Acceleration. Acceleration measures the change in velocity (which is a vector) over time. This will be another vector. The derivative of velocity is acceleration or the second derivative of position.. Lecture 9. The Normal Curve. The Normal Curve. ‘Bell’ Shaped. Unimodal in center. Tails extend to infinity in either direction. The Ideal Normal Curve. Naturally Normal. IQ tests. Standardized tests. 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 Distribution. Differentiate . between a density curve and a . histogram. Understand . where mean and median lie on curves that are symmetric, skewed . right, and . skewed left. 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. Ümit Çağrı. 17D20415855. Aralık 2014. SKEWNESS . ( ÇARPIKLIK). &. KURTOSIS (BASIKLIK). Normal probability curve. Carl. Gauss. . The normal probability distribution or the “normal curve” is often called the Gaussian distribution, . 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. Distributions. Lecture Presentation Slides. Macmillan Learning ©. 2017. Chapter 1. Looking at Data—. Distributions. Introduction. 1.1 Data. 1.2 Displaying Distributions with Graphs. 1.3 Describing Distributions with Numbers. 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. 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) = .