![](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/Statistics-QT.jpg)
This course is designed and developed by Knowledge Horizon with an objective to demystify the concepts without any prior knowledge with the help of our innovative, simple and easy to understand instructional strategy. These topics will equip you with the knowledge and tools on subjects like Statistics and quantitative techniques to apply them in your field and functional areas.
This course on Statistics & Quantitative Techniques would be of immense value to business managers and accounting students, final year students of MBA/PGDBA/MCA/CA/CS/ICWAI/ BCOM/ BBA/I.Com and entrepreneurs teachers, entrepreneurs, business owners, managers, working professionals from any function such as Marketing, Operations, HR, Accounts, etc., and from any industry.
The Online Self-learning Course includes access to – Videos (7) + Job Aids (21) Printable and Downloadable + Assessment Questions (12): Learning Seat Time: 882 minutes (Estimated) + Reference Book: 192 pages
![_Measures-of-Central-Tendency-&-Dispersion](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/SQ_1_Measures-of-Central-Tendency-Dispersion.png)
Measures of Central Tendency & Dispersion
At the end of this concept you will be able to:
- Calculate the Arithmetic Mean of Data
- Understand Grouping of Data by Class Interval
- Calculate standard deviation and coefficient of variation
- Use standard deviation and coefficient of variation to minimise risk
![Analysis-of-Variance](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/SQ_3_-Analysis-of-Variance-1.png)
Analysis of Variance
At the end of this course you will be able to:
- Identify the importance of the efficiency ratios
- Calculate the different efficiency ratios
- Analyse the efficiency ratios of the company with respect to industry standards
- Identify measures to improve the efficiency ratios
![Normal-&-Binomial-Distribution](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/SQ_4_Normal-Binomial-Distribution.png)
Normal & Binomial Distribution
At the end of this course you will be able to:
- Understand Normal Distribution
- Understand how to convert the Normal Distribution Curve to the Standard Normal Curve
- Understand the importance of Binomial Distribution
- Understand the Aspects of Binomial Distribution Equation
- Calculate the Binomial Probability
- Calculate X-bar and Standard Deviation in Binomial Probabilities
![Correlation-&-Regression-Analysis](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/SQ_5_Correlation-Regression-Analysis.png)
Correlation & Regression Analysis
At the end of this course you will be able to:
- Understand Positive & Negative Correlation
- Calculate the Coefficient of Correlation
- Calculate the Coefficient of Correlation using Excel Sheet
- Understand how to Predict Sales using Regression Analysis
- Identify the Standard Error
![Probability-Ratio](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/SQ_8_Probability-Ratio.png)
Probability Ratio
At the end of this course you will be able to:
- Explain the Classical Probability
- Explain Probability Based on Past data
- Understand to use Probability for Decision Making
- Understand the Additional Rule of Probability
- Calculate Probability for the First Combination
- Calculate Probability for the Second Combination
- Understand Conditional Probability
- Understand the Multiplication Rule of Probability for Dependent Event
- Understand the Multiplication Rule of Probability for Independent Event
![Chi-square-Test](https://www.knowledgehorizonindia.com/wp-content/uploads/2021/11/SQ_10_Chi-square-Test.png)
Chi-square Test
At the end of this course you will be able to:
- Understand the concept of the Chi-square Test of Goodness of Fit
- Calculate the Expected Frequencies using Observed Frequencies
- Understand the Chi-square Statistics
- Explain the Accepting or Rejecting the Assumption based on Chi-square Statistics
- Identify the importance of the chi-square test of independence
- Test whether or not two factors are independent of each other
- Determine the expected frequencies using the observed frequencies