Signup as a Tutor

As a tutor you can connect with more than a million students and grow your network.

"MCA Statistics Training" is no longer available

No Reviews Yet

Course type: Online Instructor led Course

Platform: Google. Skype any suggested

Course ID: 10518

Course type: Online Instructor led Course

Platform: Google. Skype any suggested

No Reviews Yet

About the Course

MCA - Statistics

Topics Covered

Unit-1: Descriptive Statistics and Correlation
• Introduction to Statistics;
• Applications in Business & Economics; Data: Summarizing Qualitative & Quantitative Data.
• Exploratory Data Analysis: The Stem-and-leaf Display; Cross Tabulation & Scatter Diagrams;
• Measures of location: Mean, Median, Mode, Percentiles, Quartiles; Measures of Variability: Range,
Inter-quartile Range, Variance, Standard Deviation, Coefficient of Variation;
• Measures of Distribution Shape, Relative Location and Detecting Outliers;
• Exploratory Data Analysis; Weighted Mean & working with Grouped Data
• Measures of Association Between Two Variables; Covariance, Correlation;
Unit-2: Probability & Probability Distribution (25%)
• Introduction to Probability; Experiments, Counting, Rules and Assigning Probabilities; Events and
their Probabilities;
• Some basic Relationships of Probability
• Conditional Probability
• Random Variables: Discrete, Continuous;
• Discrete Probability Distributions; Expected Value & Variance;
• Binomial Probability Distribution
• Poisson Probability Distribution
• Normal Probability Distribution, Normal Approximation of Binomial Probabilities
• Exponential Probability Distribution
Unit-3: Sampling, Sampling Distribution & Interval Estimation (20%)
• Simple Random Sampling, Point Estimation
• Introduction to Sampling Distributions
• Sampling Distribution of 
• Sampling Distribution of 
• Properties of Point Estimation
• Other Sampling Methods
• Population Mean: s Known, s Unknown
• Determining the Sample Size; Population Proportion
Unit-4: Statistical Inference-Testing of Hypothesis & X2 Test chi-square (30%)
• Introduction
• Test of significance for Large Samples: Difference between Small & Large Samples;
• Two-tailed test for Difference between the Means of Two Samples;
• Standard Error of the Difference between two Standard Deviations.
• Tests of significance for Small Samples: The Assumption of Normality;
• Students’ t-Distribution; Properties & Applications of t-Distribution;
• Testing Difference between Means of Two Samples (Independent Samples; Dependent Samples)
• Definition of chi-square; Degrees of freedom; chi-square Distribution; Conditions for Applying chisquare
Test; Uses of chi-square Test; Misuse of chi-square Test
Unit-5: Regression (10%)
• Introduction to Regression; Simple linear Regression Model; least Square Method; Coefficient of
Determination; Correlation Coefficient;
• Model Assumptions; Residual Analysis: Validating Model Assumptions; Outliers and Influential
• Using the Estimated Regression Equation for Estimation & Prediction

Who should attend




What you need to bring

Present in Class

Key Takeaways

Best in Statistics

Date and Time

Not decided yet.

About the Trainer

Avg Rating




4 year academic experience.
Teaching experience in MBA, MCA college for Operation Research and Quantitative techniques, Statistics subject


No reviews currently


Post your requirement and let us connect you with best possible matches for Tuition Post your requirement now is India's largest network of most trusted tutors and institutes. Over 25 lakh students rely on, to fulfill their learning requirements across 1,000+ categories. Using, parents, and students can compare multiple Tutors and Institutes and choose the one that best suits their requirements. More than 6.5 lakh verified Tutors and Institutes are helping millions of students every day and growing their tutoring business on Whether you are looking for a tutor to learn mathematics, a German language trainer to brush up your German language skills or an institute to upgrade your IT skills, we have got the best selection of Tutors and Training Institutes for you. Read more