'Density curves' diaporamas de présentation

Chapter 7

Chapter 7. Please pick up an assignment sheet and notes packet. Random Variable -. A grocery store manager might be interested in the number of broken eggs in each carton (dozen of eggs). OR An environmental scientist might be interested in the amount of ozone in an air sample.

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Chapter 7

Chapter 7. Continuous Distributions. Continuous random variables. Are numerical variables whose values fall within a range or interval Are measurements Can be described by density curves. Density curves. Is always on or above the horizontal axis

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Social Science Statistics Module I Gwilym Pryce

Lecture 1 Density curves and the CLT Slides available from Statistics & SPSS page of www.gpryce.com. Social Science Statistics Module I Gwilym Pryce. Notices:. Register Graduate School Handbook:

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Density Curves and Normal Distributions

Density Curves and Normal Distributions. Section 2.1.

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Probability and Statistics

Probability and Statistics. 1.3 The Normal Distributions. Density Curve. A density curve is a smooth function meant to approximate a histogram. The area under a density curve is one.

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Density Curves and Normal Distribution

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Density Curves

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Density Curves

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Chapter 2: The Normal Distribution

The Practice of Statistics. Section 1 : Density Curves and the Normal Distribution. Chapter 2: The Normal Distribution. A density curve is similar to a histogram, but there are several important distinctions.

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Chapter 2: The Normal Distributions

Chapter 2: The Normal Distributions. Section 2.1: Density curves and the Normal Distributions. Chapter 1 gave a strategy for exploring data on a single quantitative variable. Make a graph. Usually a histogram or stemplot Describe the distribution.

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AP Statistics

AP Statistics. 2.1 Density Curves and the Normal Distribution. Learning Objective. Differentiate between a density curve and a histogram Understand where mean and median lie on curves that are symmetric, skewed right, and skewed left .

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Chapter 2 Review

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Chapter 2: Modeling Distributions of Data

Chapter 2: Modeling Distributions of Data. Section 2.1 Describing Location in a Distribution. The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE. Chapter 2 Modeling Distributions of Data. 2.1 Describing Location in a Distribution 2.2 Normal Distributions.

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Overview:

Notes - 2.1 Density Curves and Normal Distributions (Pages 64-79) "Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." -- H.G. Wells, 1866-1946. Overview:.

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Section 5.1: Normal Distributions

Section 5.1: Normal Distributions. (Day 1). Normal Curves. So far, we have used histograms to represent the overall shape of a distribution. Now smooth curves can be used:. Normal Curves. If the curve is symmetric, single peaked, and bell-shaped, it is called a normal curve .

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Describing Location in a Distribution

2.1 Measures of Relative Standing and Density Curves YMS3e. Describing Location in a Distribution. Explain what is meant by a standardized value. Compute the z-score of an observation given the mean and standard deviation of a distribution. Compute the pth percentile of an observation.

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Summary of t-Test for Testing a Single Population Mean ( m )

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AP Statistics

AP Statistics . Section 2.1: Measures of Relative Standing and Density Curves. Objective: To be able to recognize density curves and use them to calculate area under the curve. Standardizing is the process by which we convert the original values to standard deviation units.

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Data Analysis

Density Curves: area 1 + may not be curved. Symmetric: mean = median, symm box plot Normal: 68-95-99.7 and bell shaped. Data Analysis. Categorical vs. Quantitative Bar Dot Pie Stem Histogram Ogive Time. Normal Curves. Ch 1. Ch 2. Normal? Check outliers Check symmetry

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