'Class boundaries' diaporamas de présentation

Chapter 4

Chapter 4. Displaying and Summarizing Quantitative Data . Objectives. Histogram Stem-and-leaf plot Dotplot Shape Center Spread Outliers Mean Median. Range Interquartile range (IQR) Percentile 5-Number summary Resistant Variance Standard Deviation.

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Chap 2: Presenting Data in Tables & Charts

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Probability & Statistics for P-8 Teachers

Probability & Statistics for P-8 Teachers. Chapter 2 Frequency Distributions and Graphs. What is Statistics?. Most people become familiar with probability and statistics through radio, television, newspapers, and magazines. For example, the following statements were found in newspapers.

829 views • 57 slides

Probability & Statistics for P-8 Teachers

Probability & Statistics for P-8 Teachers. Chapter 2 Frequency Distributions and Graphs. What is Statistics?. Most people become familiar with probability and statistics through radio, television, newspapers, and magazines. For example, the following statements were found in newspapers.

763 views • 57 slides

Chapter 2

Chapter 2. Graphical Descriptions of Data. Section 2.1. Frequency Distributions. After collecting the data, we need to organize the data. This chapter will describe different ways to organize the data. Arranging data from least to greatest or vice versa. Ordered array. Vocabulary.

719 views • 50 slides

3.3 Measures of Position

3.3 Measures of Position. Measures of location in comparison to the mean. - standard scores - percentiles - deciles - quartiles. Z score or Standard Score. 90 on a music test vs 45 on an English test.

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Minimal Neural Networks

Minimal Neural Networks. Support vector machines and Bayesian learning for neural networks. Peter Andras andrasp@ieee.org. Bayesian neural networks I. The Bayes rule:.

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Chapter 2 Describing, Exploring, and Comparing Data

Chapter 2 Describing, Exploring, and Comparing Data. 2-1 Overview 2-2 Frequency Distributions 2-3 Visualizing Data 2-4 Measures of Center 2-5 Measures of Variation 2-6 Measures of Relative Standing 2-7 Exploratory Data Analysis (EDA).

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Yves Saint Laurent

Yves Saint Laurent. Early Years 1957-1966: Self, Image and Impact. Ellen Anders and Veronica Manlow Fashion, Style, Appearance, Consumption & Design PCA/ACA 2014, Chicago. Dualism: Postmodern/Hypermodern Sensibility.

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Issues

Working Group 2A ECOSTAT Intercalibration process - state of play Wouter van de Bund & Anna-Stiina Heiskanen Joint Research Centre Institute for Environment and Sustainability Inland and Marine Waters Unit. Intercalibration register State of play Overview of sites

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Descriptive Statistics

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Displaying Statistical Information

Displaying Statistical Information. Statistical Information may be displayed:. As a table As a chart As a graph. Frequency Table. Pie Chart Histogram. Frequency Distribution Graph Cumulative Frequency Distribution Graph. Constructing a Frequency Table.

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Section 2.2

Section 2.2. Graphical Displays of Data 2.2b(ii ) - Histogram. Example 2.12: Constructing a Histogram. Construct a histogram of the 3-D TV prices from the previous section. The frequency distribution of the data is restated here. Example 2.12: Constructing a Histogram (cont.). Solution.

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Sections 2-1 and 2-2

Sections 2-1 and 2-2. Review and Preview and Frequency Distributions. TWO TYPES OF STATISTICS. Descriptive statistics summarize or describe the important characteristics of data. Inferential statistics use sample data to make inferences (or generalizations) about a population.

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Unit 2

Unit 2. Section 2-3. 2-3: Histograms, Frequency Polygons, and Ogives. Graphs are used to present data after it has been organized into frequency distributions. The purpose of a graphs in statistics is to display data in pictorial form. The three most commonly used graphs are: Histograms

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Graphical Descriptions of Data

Graphical Descriptions of Data. Chapter 2. Outline. 2.1 Frequency Distributions 2.2 Graphical Displays of Data 2.3 Analyzing Graphs. Introduction. After collecting data as described in Chapter 1, you need to organize it so that inferences and conclusions can be drawn

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Statistics Chapter 2: Descriptive Statistics

Statistics Chapter 2: Descriptive Statistics. 2.1: Frequency Distributions and Their Graphs. Frequency Distribution.

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HISTOGRAMS

HISTOGRAMS. Representing Data Module S1. Why use a Histogram. When there is a lot of data When data is Continuous a mass, height, volume, time etc Presented in a Grouped Frequency Distribution usually in groups or classes that are UNEQUAL . NO GAPS between Bars. Continuous data.

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Chapter 2.2

Chapter 2.2. Frequency Polygons and Ogives. The frequency polygon. The frequency polygon is a graph that displays the data by using lines that connect point plotted for the frequencies at the midpoints of the classes. The frequencies are represented by the heights of the points.

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Graphing Data

Graphing Data. Unit 2. Sometimes it is easier to identify patterns of a data set by looking at a graph of the frequency distribution. One such graph is a frequency histogram .

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