Learn how to use statistics step by step.

20 students enrolled

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Learn principle and applications of statistical tools to describe the variable.

20 students enrolled

What Will I Learn?

- Draw conclusions out of statistical data and graphs.
- Understands the empirical relationship between different statistical parameters that are average, standard deviation and moment
- Can calculate moment of a variable
- Can interpret graphically inequalities through Lorenz curve
- Can measure of disparities through Ginni's index.
- Can use different coefficients based on moment to calculate skewness and kurtosis.

Requirements

- Basic Microsoft Excel
- Algebra

Description

This course is the foundation stone of statistics, as its understanding will be helpful throughout the statistical analysis. We will learn different statistical parameters like central tendency, the measure of deviation, variance, standard deviation, moment, skewness and kurtosis, are use to describe a statistical variable completely and also the understanding of different frequency distribution curves, their skewness and kurtosis with easy to understand explanations and examples. We will also learn how to study inequalities in the distribution graphically and how to measure them through Lorenz curve and Ginni's index

**At the end of my course, students will be able to...**

Draw conclusions out of statistical data and graphs.

Will able to compare and draw conclusions based on statistical data using standard Deviation.

Able to draw Lorenz curve on excel and can calculate significant value for Lorenz curve using Ginni's index.

Understands the empirical relationship between different statistical parameters that are average, standard deviation etc.

Can calculate moment of variables.

Can use different coefficients based on moment to calculate skewness and kurtosis.

**What will students need to know or do before starting this course?**

Basic Microsoft Excel

Algebra

**Who should take this course?**

Students pursuing courses in economics, statistics, management and biostatistics.

Professionals like Business analyst and Economist

Researchers like Ecologist, Bio-technologist etc.(having non- mathematical background)

Who is the target audience?

- Students pursuing courses in economics, statistics and biostatistics
- Professionals like Business analyst and economist
- Researchers like ecologist, bio-technologist etc.(having non- mathematical background)

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