LECTURE 2 Discrete Quantitative Data A simple frequency distribution, frequency bar char can be used to organize the discrete quantitative variable. Example.

Slides:



Advertisements
Similar presentations
Psy302 Quantitative Methods
Advertisements

Chapter 16 Quantitative Proposals and Reports. WRITING QUANTITATIVE RESEARCH PROPOSALS Part 1: Research Topic Part 1: Research Topic Part 2: Literature.
Contemporary Engineering Economics, 4 th edition, © 2007 Risk Simulation Lecture No. 49 Chapter 12 Contemporary Engineering Economics Copyright, © 2006.
Statistics Lecture 11.
Samples vs. Distributions Distributions: Discrete Random Variable Distributions: Continuous Random Variable Another Situation: Sample of Data.
Total Population of Age (Years) of People that Smoke
Chapter 11: Random Sampling and Sampling Distributions
Stat 1080 “Elementary Probability and Statistics” By Dr. AFRAH BOSSLY
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 14.1, Slide 1 14 Descriptive Statistics What a Data Set Tells Us.
There are two main purposes in statistics; (Chapter 1 & 2)  Organization & ummarization of the data [Descriptive Statistics] (Chapter 5)  Answering.
Introduction to Biostatistics and Bioinformatics Estimation II This Lecture By Judy Zhong Assistant Professor Division of Biostatistics Department of Population.
Measures of Variability Objective: Students should know what a variance and standard deviation are and for what type of data they typically used.
Slide 2-2 Copyright © 2012, 2008, 2005 Pearson Education, Inc. Chapter 2 Organizing Data.
CHAPTER 3: Displaying and Describing Categorical Data KENNESAW STATE UNIVERSITY MATH 1107.
Ch.4 DISCRETE PROBABILITY DISTRIBUTION Prepared by: M.S Nurzaman, S.E, MIDEc. ( deden )‏
1 G Lect 3b G Lecture 3b Why are means and variances so useful? Recap of random variables and expectations with examples Further consideration.
Lecture 07 Dr. MUMTAZ AHMED MTH 161: Introduction To Statistics.
4.1 Probability Distributions. Do you remember? Relative Frequency Histogram.
Guidelines to problems from chapter 2 Nutan S. Mishra.
Frequency Polygon Example The table below represents the marks obtained by children in an examination Mark 1 – – – – – –
Total Population of Age (Years) of People. Pie Chart of Males and Females that Smoke Systematic Gender Sample Total Population: 32.
Objectives Recognise types of data Construct stem and leaf diagrams Understand grouped frequency distributions Construct cumulative frequency polygons.
MATH104 Chapter 12 Statistics 12.1 Intro Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics.
Modeling Discrete Variables Lecture 22, Part 1 Sections 6.4 Fri, Oct 13, 2006.
Symbol Description It would be a good idea now to start looking at the symbols which will be part of your study of statistics.  The uppercase Greek letter.
Probability and Statistics Dr. Saeid Moloudzadeh Measures of center 1 Contents Descriptive Statistics Axioms of Probability Combinatorial.
AP Statistics Wednesday, 09 September 2015 OBJECTIVE TSW review for Friday’s test over Chapter 1 – 3.
Chapter 7: The Distribution of Sample Means. Frequency of Scores Scores Frequency.
© 2010 Pearson Prentice Hall. All rights reserved Chapter Sampling Distributions 8.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 14.1, Slide 1 14 Descriptive Statistics What a Data Set Tells Us.
Organizing and Visualizing Data © 2010 Pearson Education, Inc. All rights reserved.Section 15.1, Slide
Confidence Intervals for a Population Proportion Excel.
Stat 101Dr SaMeH1 Statistics (Stat 101) Associate Professor of Environmental Eng. Civil Engineering Department Engineering College Almajma’ah University.
CHAPTER 2: Basic Summary Statistics
Chapter 34 Organisation & Collection of Data. Primary & Secondary Data PRIMARY DATA is collected for a particular purpose. PRIMARY DATA is obtained from.
Chapter II Methods for Describing Sets of Data Exercises.
Slide 2-1 Copyright © 2012, 2008, 2005 Pearson Education, Inc. Chapter 2 Organizing Data.
Lectures' Notes STAT –324 Probability Probability and Statistics for Engineers First Semester 1431/1432 and 5735 Teacher: Dr. Abdel-Hamid El-Zaid Department.
Probability in Sampling. Key Concepts l Statistical terms in sampling l Sampling error l The sampling distribution.
1Chapter : Organizing and Displaying Data Introduction: Statistics : Statistics is that area of study which is interested in learning how to collect, organize,
Elementary Statistics (Math 145) June 19, Statistics is the science of collecting, analyzing, interpreting, and presenting data. is the science.
Math 145 June 19, Outline 1. Recap 2. Sampling Designs 3. Graphical methods.
Croxton & Cowden have given a very simple and
FREQUENCY DISTRIBUTION
Confidence Intervals about a Population Proportion
Probability Distributions
SAMPLING DISTRIBUTION. Probability and Samples Sampling Distributions Central Limit Theorem Standard Error Probability of Sample Means.
ORGANIZING AND GRAPHING DATA
Frequency Polygons Example
AP Statistics: Chapter 7
Probability Distributions
Teacher: Dr. Abdulhamid Alzaid Office: 2B41 Building # 4
Sampling Distributions and the Central Limit Theorem
Distribution of the Sample Proportion
إحصاء تربوي الفصل الأول: المفاهيم الأساسية الإحصائية
Lecture 2 Section 1.3 Objectives: Continuous Distributions
Objectives Recognise types of data Construct stem and leaf diagrams
Organizing and Visualizing Data
Unit 2: Descriptive Statistics
Uniform Distributions and Random Variables
Chapter 7: The Distribution of Sample Means
Descriptive Statistics
Modeling Discrete Variables
Math 145 September 5, 2007.
Sample Means Section 9.3.
Objective: Find the mean, variance, and standard deviation of a discrete random variable Standard DA-5 Lesson 5.2.
Organizing & Visualizing Data
Modeling Discrete Variables
Math 10, Spring 2019 Introductory Statistics
Presentation transcript:

LECTURE 2 Discrete Quantitative Data A simple frequency distribution, frequency bar char can be used to organize the discrete quantitative variable. Example 1: Suppose that we are interest in the number of children that a Saudi Women has and we take a sample of 16 women and obtain the following data on the number of children:

a) Prepare a simple frequency distribution for this data b) Construct a frequency bar char Solution: the population: All Saudi women, sample size: 16 women, variable: number of children that a Saudi woman has, Type of variable: discrete quantitative. (a)Frequency distribution