STATISTICAL AND GEOSPATIAL DATA INSIGHTS
This channel deals with the following:
Part One : Statistics
Definitions and clarifications on some fundamental concept of statistics
Introduction to data analysis software
Statistical data analysis using Microsoft Excel Spread sheet, SPSS and R
Part two
Introduction to spatial data format ( Vector and Raster) in Arc Map, QGIS and Google Earth Engine
Performing Spatial Statistics in Arc Map and QGIS
LESSON 28 CALCULATION OF CONFIDENCE LEVEL USING THE Z_SCORE METHOD
LESSON 27 CONFIDENCE LEVEL
LESSON 26 TESTING HYPOTHESIS USING Z SCORE STATISTICS
LESSON 25 APPLICATION OF STANDARD NORMAL DISTRIBUTION IN HYPOTHESIS PART ONE
LESSON 24 APPLICATION OF STANDARD NORMAL DISTRIBUTION IN QUALITY CONTROL
LESSON 23 APPLICATION OF STANDAR NORMAL DISTRIBUTION IN PROBABILITY CALCULATION
LESSON 22: CONVERSITION OF RAW SCORE TO Z SCORE
LESSON 21 INTRODUCTION TO STANDARD NORMAL DISTRIBUTION
LESSON 20 NORMAL DISTRIBUTION
LESSON 19 THE FINER MODEL
LESSON 18 THE PICOC MODEL
LESSON 17 THE ECLIPSE MODEL
LESSON 16 THE SPIDER MODEL
LESSON 15 THE PICO MODEL
LESSON 14 DIFFERENCE BETWEEN RESEARCH QUESTIONS AND HYPOTHESIS
LESSON 13 RESEARCH QUESTIONS
LESSON 12 TYPE II ERROR IN DIRECTIONAL HYPOTHESIS TESTING
LESSON 11 TYPE 1 ERROR IN A DIRECTIONAL HYPOTHESIS
LESSON 10 TYPE 1 AND 2 ERRORS IN HYPOTHESES
LESSON 9 TESTING NON DIRECTIONAL HYPOTHESIS
LESSON 8 PART 2 TESTING DIRECTIONAL HYPOTHESIS
LESSON 8 TESTING DIRECTIONAL HYPOTHESIS PART 1
LESSON 7 NATURE OF HYPOTHESIS
LESSON 6 DEFINITIONS OF HYPOTHESIS
LESSON 5 PURPOSE OF DATA ANALYSIS
LESSON 4 MEDIATOR AND MODERATOR VARAIBLES
LESSON 3 OBSERVATIONS AND VARIABLES
LESSON 2 TYPES OF DATA
LECTURE 1: WHAT IS DATA
SELF INTRODUCTION