WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.

Slides:



Advertisements
Similar presentations
WFM-6204: Hydrologic Statistics
Advertisements

WFM 6202: Remote Sensing and GIS in Water Management
WFM 6204: Hydrologic Statistics © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM-6204: Hydrologic Statistics Akm Saiful Islam Syllabus October, 2007 Institute.
Displaying Data Objectives: Students should know the typical graphical displays for the different types of variables. Students should understand how frequency.
WFM 6204: Hydrologic Statistics © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM-6204: Hydrologic Statistics Akm Saiful Islam Lecture-3: Probabilistic analysis:
WFM-6204: Hydrologic Statistics
KNOWING WHICH TYPE OF GRAPH TO USE IN RESEARCH A foolproof guide to selecting the right image to convey your important message!
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 2-4 Statistical Graphics.
WFM 6204: Hydrologic Statistics © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM-6204: Hydrologic Statistics Akm Saiful Islam Lecture-2: Probability and.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
Graphic representations in statistics (part II). Statistics graph Data recorded in surveys are displayed by a statistical graph. There are some specific.
1 Probabilistic and Statistical Techniques Lecture 3 Dr. Nader Okasha.
WFM 6202: Remote Sensing and GIS in Water Management
WFM 6204: Hydrologic Statistics © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM-6204: Hydrologic Statistics Akm Saiful Islam Lecture-1: Characteristics.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
Dr. Michael R. Hyman, NMSU Graphical Representation of Data.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
Concept Course on Spatial Dr. A.K.M. Saiful Islam Hands on training on locating buildings vulnerable to flood damage Dr. A.K.M. Saiful Islam.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
WFM 6311: Climate Risk Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-1: Module-1.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-5b: Quality Controlling Observational.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
Concept Course on Spatial Dr. A.K.M. Saiful Islam Developing ground water level map for Dinajpur district, Bangladesh using geo-statistical analyst.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Dr.
Histograms Hours slept Frequency 1 – – – – –
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Dr.
WFM 5201: Data Management and Statistical Analysis
WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-4: Module- 3 Regional Climate.
WFM 5201: Data Management and Statistical Analysis
WFM 6311: Climate Risk Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Syllabus December,
Tasks for Follow-up workshop A.K.M. Saiful Islam Institute of Water and Flood Management (IWFM) Bangladesh University of Engineer and Technology (BUET)
WFM 5201: Data Management and Statistical Analysis
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Dr.
2-3.  In addition to the histogram, the frequency polygon, and the ogive, several other types of graphs are often used in statistics. They are the bar.
Statistics - Descriptive statistics 2013/09/23. Data and statistics Statistics is the art of collecting, analyzing, presenting, and interpreting data.
Graphing Examples Categorical Variables
Graphing A Practical Art. Graphing Examples Categorical Variables.
STATISTICAL GRAPHS.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Edited by.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
Lecture 03 Dr. MUMTAZ AHMED MTH 161: Introduction To Statistics.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Section 2-2 Frequency Distributions.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
Frequency, Percentage, and Proportion Statistical Based Graphical Displays.
MATH104 Chapter 12 Statistics 12.1 Intro Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Section 2-4.
Slide Slide 1 Section 2-4 Statistical Graphics. Slide Slide 2 Key Concept This section presents other graphs beyond histograms commonly used in statistical.
Research Methods: 2 M.Sc. Physiotherapy/Podiatry/Pain Graphs and Tables.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Dr.
Why Do We Use Them?.  Graphs and charts let us organize data in an easy to read way.  They allow us to make quick comparisons.  There are many types.
Graphs that Enlighten and Graphs that Deceive Chapter 2 Section 4.
M. MASTAK AL AMIN The summary Table A summary table indicates the frequency, amount or percentage of items in a set of categories so that you can see differences.
WFM 6311: Climate Risk Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Professor A.K.M. Saiful Islam Lecture-1:
Descriptive Statistics: Tabular and Graphical Methods
2.2 More Graphs and Displays
Graphical Representation of Data Data Presentation by Charts / Graphs & Figures
WFM 6202: Remote Sensing and GIS in Water Management
Maths Unit 6 – Representing Data
Statistical Reasoning
Created by Tom Wegleitner, Centreville, Virginia
WFM 6202: Remote Sensing and GIS in Water Management
Section 2.3 Pictures of Data
Histograms Learning Target
Histograms.
Maths Unit 5 – Representing Data
Descriptive Statistics Civil and Environmental Engineering Dept.
Presentation transcript:

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful Islam Lecture-5: Data Exploration April, 2008 Institute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET)

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Data Exploration through Graphical Means Bar diagram Pie chart Histogram Stem and Leaf Plot Frequency Plot Scatter diagram Line graph

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Bar Diagram Vertical Bar Diagram Horizontal Bar Diagram Component Bar Diagram Multiple Bar Diagram

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Vertical Bar Diagram ResponseFrequencyRelative frequency Frequently Occasionally Rarely Never60.040

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Horizontal bar diagram

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Component Bar Diagram Region Population in '000Percent of population MaleFemaleMaleFemale A B

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Multiple bar diagram

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Pie Chat 2D Pie Chart3D Pie Chart

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Histogram

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Frequency Polygon Expen.No Total 80

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Scattered Diagram Husband's age Wife's ageHusband's age Wife's ageHusband's age Wife's age

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Scattered Diagram

WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam Line Diagram YearPopulation