'Grouped frequency distribution' diaporamas de présentation

SAMPLING SURVEY TECHNIQUE

SAMPLING SURVEY TECHNIQUE. POPULATIONS and SAMPLES. THE POPULATION is the set of all the individuals of interest in particular study. The sample is selected from the population. The result from the sample are generalized from the population. THE SAMPLE

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Chapter 3

Chapter 3. 3-1. Data Description. Outline. 3-2. 3-1 Introduction 3-2 Measures of Central Tendency 3-3 Measures of Variation 3-4 Measures of Position 3-5 Exploratory Data Analysis. Objectives. 3-3.

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Chapter 3

Chapter 3. 3-1. Data Description. Outline. 3-2. 3-1 Introduction 3-2 Measures of Central Tendency 3-3 Measures of Variation 3-4 Measures of Position 3-5 Exploratory Data Analysis. Objectives. 3-3.

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Chapter 2

DESCRIPTIVE STATISTICS. Chapter 2. Graphical Displays of Univariate Data. Objectives. Introduction of some basic statistical terms. Introduction of some graphical displays. Introduction.

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SLIDES PREPARED By Lloyd R. Jaisingh Ph.D. Morehead State University

STATISTICS for the Utterly Confused. SLIDES PREPARED By Lloyd R. Jaisingh Ph.D. Morehead State University Morehead KY. Part 1 DESCRIPTIVE STATISTICS. Chapter 1. Graphical Displays of Univariate Data. Outline. Do I Need to Read This Chapter? 1-1 Introduction

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USE OF BASIC STATISTICS IN INSURANCE PRICING AND RISK ASSESSMENT March 2017

USE OF BASIC STATISTICS IN INSURANCE PRICING AND RISK ASSESSMENT March 2017. Agenda. Statistical concepts relating to insurance: (1) Risk data (2) Presentation of risk data (3) Statistical measurement (4) Deriving probability (5) Probability distributions (6) Regression and correlation

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Section 2.1

Section 2.1. Frequency Distributions. Objectives. Construct a frequency distribution. Frequency Distributions. A distribution is a way to describe the structure of a particular data set or population.

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MEDIAN OR QUANTILES

MEDIAN OR QUANTILES. MOHSIN TAHIR (GL) WAQAS AKRAM RAO ARSLAN M ARSLAN ALI ASGAR. CONTANTS. MEDIAN Median Examples Median from Ungrouped Data Median from Grouped Data Median from Discrete Data Quantiles Quartiles Deciles Percentiles. WORK DISTRIBUTION. Muhammad Arslan :

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Chapter 2: Frequency Distributions

Chapter 2: Frequency Distributions. Frequency Distributions. After collecting data, the first task for a researcher is to organize and simplify the data so that it is possible to get a general overview of the results. This is the goal of descriptive statistical techniques.

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Graphical Displays of Data

Graphical Displays of Data. Section 2.2. Objectives. Create and interpret the basic types of graphs used to display data. Introduction. A graph is a snapshot that allows us to view patterns at a glance without undergoing lengthy analysis of the data.

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Chapter 2 Frequency Distributions and Graphs

Chapter 2 Frequency Distributions and Graphs. Section 2-2. Organizing Data. Frequency distribution - is the organization of raw data in table form, using classes and frequencies.

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Raw Scores

Raw Scores. Un-Grouped Frequency Distribution. Grouped Frequency Distribution. Percentile and Percentile Rank. Percentile ( P X ) or Percentile Point The value on the measurement scale (at or) below which a specified percentage of the scores in the distribution fall.

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Chapter 2 Lesson 2-2

Chapter 2 Lesson 2-2. Histograms , Frequency polygons and Ogives. The number of counties, divisions, or parishes for each of the 50 states is given below. Use the data to construct a grouped frequency distribution with 6 classes, a histogram, a frequency polygon, and an ogive . Analyze

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Frequency Distributions and Graphs

Descriptive Statistics. Frequency Distributions and Graphs. Introduction. Data must be organized Frequency distribution Present data Statistical graphs and charts. Organizing Data. Frequency distribution Uses classes and frequency 3 types Categorical frequency distribution

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Chapter 10

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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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TOPIC 13

TOPIC 13. Standard Deviation. Standard Deviation. The STANDARD DEVIATION is a measure of dispersion and it allows us to assess how spread out a set of data is: STANDARD DEVIATION FOR A SET OF NUMBERS The formula used to calculate the STANDARD DEVIATION of a SET OF NUMBERS is:

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Math 1332

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HISTOGRAMS

HISTOGRAMS. Representing Data OCR Module 9. 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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