


The ExpertRating Online Statistics Course
(leading to ExpertRating Statistics Certification).
Statistics provides unique, investigative insights to data and presents that data objectively. The days of making decisions by instinct or coin toss are long gone. Nowadays decisions are based on facts and if these facts are numerical data, then Statistics comes into play. If you are planning a career in Statistics or management, you cannot afford to miss this online Statistics course! Give yourself an employment advantage by developing analytical and mathematical skills that are consistently in high demand.
Careers in Statistics are on an upswing and the demand for trained Statistics currently exceeds supply. So give your career an edge by registering yourself for this Statistics Course.
Online
Statistics Course requirements: For
taking this Online Statistics Course you need Proficiency
with basic algebra, Internet access, email, and the Microsoft
Internet Explorer or Mozilla Firefox Web browser.
Boost your job and career prospects with the ExpertRating
Statistics Certification.
Payments can be made using all major credit cards or PayPal.
All payments are through a secure online transaction.






ExpertRating Statistics
Certification Course Coverage (Chapters 16)
This indepth courseware includes all aspects of Statistics.
Chapter 1 Statistics Certification Program Chapter 2 Organizing and Presenting your Data Chapter 3 Measures of Central Tendency and Dispersion Chapter 4 Introduction to Probability Chapter 5 Research Methods Chapter 6 Sampling
Chapter 1 Statistics Certification Program
1.1 The Final Certification Test 1.2 Introduction 1.3 Understanding the How, What, and Why of Data 1.4 What is Statistics? 1.5 Branches of Statistics 1.6 Why is data needed? 1.7 Data collection: Sources and methods 1.8 Statistics and Computer Programs 1.9 Summary of Key Concepts 1.10 Chapter Review Questions
Chapter 2 Organizing and Presenting your Data
2.1 Data Organization 2.2 Presenting Your Data 2.3 Cross Tabulating Your Data 2.4 Summary of Key Concepts 2.5 Chapter Review Questions
Chapter 3 Measures of Central Tendency and Dispersion
3.1 What is central tendency? 3.2 Measures of Dispersion 3.3 Summary Of Key Concepts 3.4 Chapter Review Questions
Chapter 4 Introduction to Probability
4.1 Probability Concepts 4.2 Visualizing Probability Events 4.3 Summary Of Key Concepts 4.4 Chapter Review Questions
Chapter 5 Research Methods
5.1 Scientific Research Method 5.2 Quantitative Research Methods 5.3 Qualitative Research Methods 5.4 Research Ethics 5.5 Summary of Key Concepts 5.6 Chapter Review Questions
Chapter 6 Sampling
6.1 Sampling Process 6.2 Probability Sampling 6.3 NonProbability Sampling 6.4 Sampling Methods' Strengths and Weaknesses 6.5 Summary of Key Concepts 6.6 Chapter Review Questions






Continued...... Course Coverage (Chapters 712)
Chapter 7 Hypothesis Testing Chapter 8 Correlations between Variables Chapter 9 Making Predictions Linear Regression Analysis Part 1 Chapter 10 Making Predictions Linear Regression Analysis  Part 2 Chapter 11 Making effective comparisons through Analysis of Variance (ANOVA) Chapter 12 Using Excel in Statistics
Chapter 7 Hypothesis Testing
7.1 Populations and Samples 7.2 Hypothesis Testing Process 7.3 Hypothesis Testing in a Nutshell 7.4 Summary Of Key Concepts 7.5 Chapter Review Questions
Chapter 8 Correlations between Variables
8.1 Correlation 8.2 Correlation Coefficient 8.3 Summary of Key Concepts 8.4 Chapter Review Questions
Chapter 9 Making Predictions Linear Regression Analysis Part 1
9.1 Relationship between Variables Correlation Analysis 9.2 Conducting Regression Analysis 9.3 Summary of key concepts 9.4 Chapter Review Questions
Chapter 10 Making Predictions Linear Regression Analysis  Part 2
10.1 Random Error Term 10.2 Multiple Regression 10.3 Strengths and Limitations Of Regression Analysis 10.4 Summary Of Key Concepts 10.5 Chapter Review Questions
Chapter 11 Making effective comparisons through Analysis of Variance (ANOVA)
11.1 Two Sample Tests or Ttest 11.2 The ttest and ANOVA 11.3 ANOVA: an assessment 11.4 Summary Of Key Concepts 11.5 Chapter Review Questions
Chapter 12 Using Excel in Statistics
12.1 Measures of Central Tendency (Refer to Chapter 3) 12.2 Measures of Dispersion (Refer to Chapter 3) 12.3 Hypothesis Testing (Refer to Chapter 7) 12.4 Correlation Analysis (Refer to Chapter 8) 12.5 Simple Linear Regression Analysis ( Refer to Chapter 9) 12.6 Multiple Regression Analysis (Refer to Chapter 10) 12.7 Analysis of Variance ANOVA (Refer to Chapter 11)

