'Lower class limit' diaporamas de présentation

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 Chapter 2 Describing, Exploring, and Comparing Data Section 2-1 Overview

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SLIDES . BY

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Chapter 2

Chapter 2. 2-1. Frequency Distributions and Graphs. Outline. 2-2. 2-1 Introduction 2-2 Organizing Data 2-3 Histograms, Frequency Polygons, and Ogives 2-4 Other Types of Graphs. Objectives. 2-3. Organize data using frequency distributions.

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Chapter 2 and 3 Descriptive Statistics

Summarizing Data with Frequency Tables Pictures of Data Measures of Center Measures of Variation Measures of Position Exploratory Data Analysis (EDA). Chapter 2 and 3 Descriptive Statistics. Descriptive Statistics

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Chi-Square Distribution

Chi-Square Distribution. Chapter 15. Chapter Goals. When you have completed this chapter, you will be able to:. Understand the nature and role of chi-square distribution. Identify a wide variety of uses of the chi-square distribution.

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Organizing Qualitative Data

Organizing Qualitative Data. Definition 2.3. Frequency Distribution of Qualitative Data A frequency distribution of qualitative data is a listing of the distinct values and their frequencies. Table 2.1. Political party affiliations of the students in introductory statistics. Table 2.2.

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MEAN, MEDIAN, MODE

MEAN, MEDIAN, MODE. FREQUENCY DISTRIBUTION TABLE. A table containing array data have been grouped by class or specific categories. How to make it?. 2. SEE This Data. 3. FIRST STEPS ARE MAKE A FREQUENCY DISTRIBUTION TABLE. 4. STEP 01 :. SET NUMBER OF CLASSES ( Jumlah Kelas JK ).

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CLASSIFICATION OF DATA: FREQUENCY DISTRIBUTION

CONTENTS UNDER : Classification of data : frequency distribution *Introduction *Classification of data * Objectives of classification *Methods of classification Variable *Way to classify numerical data or raw data *General rules for constructing a grouped frequency distribution *Conclusion.

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Warm Up

Warm Up. Develop your own Stem and Leaf Plot with the following temperatures for June. . 77 80 82 68 65 59 61 57 50 62 61 70 69 64 67 70 62 65 65 73 76 87 80 82 83 79 79 71 80 77. Warm Up. Answer:. Lesson 5: Frequency. Frequency is how often something occurs.

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Learning Objectives for Section 11.2 Measures of Central Tendency

Learning Objectives for Section 11.2 Measures of Central Tendency. The student will be able to calculate the mean of a distribution. The student will be able to identify the median of a distribution. The student will be able to identify the mode of a distribution.

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Statistics 300: Introduction to Probability and Statistics

Statistics 300: Introduction to Probability and Statistics. Section 2-2. Chapters 2 and 3. Describing data Exploring data Comparing data. Describe or Infer?. Descriptive statistics Inferential statistics. Descriptive Statistics.

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Notes 2.1 (Part 1)

Notes 2.1 (Part 1). Frequency distribution and their graphs. What you should learn. 1. How to construct a frequency distribution including limits, boundaries, midpoints, relative frequencies and cumulative frequencies.

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Methods of Organizing Data

Methods of Organizing Data. Prepared by: Josefina V. Almeda Professor and College Secretary School of Statistics University of the Philippines, Diliman August 2009. Quantitative Classification of Data * use quantitative classification if the observed values of the

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AP Statistics

AP Statistics . Section 1.1: Displaying Distributions. Objective: To be able to represent categorical and quantitative data using a variety of graphs. Statistics : The science and art of learning from data. Part I: Exploratory Data Analysis Data: objects described in the data set

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Making a frequency distribution and histogram

Making a frequency distribution and histogram. The Data. Make sure the data is quantitative Sort the data from smallest to largest Count how many. The Data. The data is sorted, quantitative, and there are 40 elements. Find the range and class width.

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Thinking Mathematically

Thinking Mathematically. Statistics: 12.1 Sampling, Frequency Distributions, and Graphs. Statistics. Statistics is the science of data. This involves collecting, organizing, analyzing, and interpreting numerical information, as well as drawing conclusions based on the data.

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Lesson 3 - 3

Lesson 3 - 3. Measures of Central Tendency and Dispersion from Grouped Data. Objectives. Approximate the mean of a variable from grouped data Compute the weighted mean Approximate the variance and standard deviation of a variable from grouped data. Vocabulary.

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