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Globally recognized and accredited Online Training and Certification course on Basic Statistics and Statistical Tools
5.0 (24 ratings)
Language: English
Instructors: Dr. Aryan Viswakarma
Validity Period: 365 days
Course: Basic Statistics & Statistical Tools
Course Duration: 6 hrs
Course Objectives
Understanding statistics is essential to understanding research in the social and behavioural sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization
“Statistics…is the most important science in the whole world: for upon it depends on the practical application of every other science and of every art; the one science essential to all political and social administration, all education, all organization based upon experience, for it only gives the results of our experience.”
Data is everywhere. If you want to navigate the world properly, you need to have a handle on statistics.
Prerequisites
No prerequisite
Who Should Attend?
Certification:
Sample Certificate:
Policy on Cancellation and Refunds
For Technical Support-
Contact us at +91-8094078781 or drop a mail at qhi2017@gmail.com
*Prices may change at any time without prior notice.
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Accreditations & Certifications
2. Basic Statistics- Why do we use Statistics? What is Sample, Population, and Sample
3. Difference between Std. Deviation and Std. Error
4. Data, Data Types, and Measures of Data
5. Objective of data collection, False data, Data gathering, etc
6. Measure of Central Tendency and Dispersion
7. Total Variation and causes of variation
8. Types of data-Variable vs Attribute data and Variable process outputs
9. Characteristics of Variable Data
10. Descriptive VS Inferential Statistics
11. Skewness and Kurtosis
12. Exercises on Descriptive Statistics in Microsoft Excel
13. Acceptance Sampling
14. OCC Curve and Producer’s Risk / Consumer’s Risk
15. Sampling
a. Types of Sampling
b. Sampling Terminology
c. Sampling in research
16. Hypothesis Testing
17. Introduction to Hypothesis Testing
18. One Tail Test and Two Tail Test
19. Type 1 Error and Type II error
20. Statistical Tools
a. Scatter Plot
b. Box Plot
c. Histogram
d. Pre-Control Chart
21. Introduction to Correlation and Regression Analysis
Additional Resources
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