Statistics and Probability detailed Syllabus Scheme for Master of Computer Applications (MCA), 2016 regulation has been taken from the University of Mumbai official website and presented for the MCA students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.
For all other Mumbai University MCA 1st Sem Syllabus 2016 Pattern, do visit MCA 1st Sem 2016 Pattern Scheme. The detailed Syllabus Scheme for statistics and probability is as follows.
MCA105: Statistics and Probability Syllabus for MCA 1st Sem 2016 Pattern Mumbai University
Prerequisites:
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Course Educational Objectives (CEO):
- CEO 1: To equip the students with a working knowledge of probability, statistics, and modeling in the presence of uncertainties.
- CEO 2: To understand the concept of hypothesis and significance tests
- CEO 3: To help the students to develop an intuition and an interest for random phenomena and to introduce both theoretical issues and applications that may be useful in real life.
Course Outcomes:
At the end of the course, the students will be able to:
- Distinguish between quantitative and categorical data
- Apply different statistical measures on data
- Identify, formulate and solve problems
- Classify different types of Probability and their fundamental applications
1. Measures of Central Tendency & Measures of Dispersion
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2. Skewness, Correlation & Regression
Karl Pearsons coefficient of Skewness, Bowleys coefficient of Skewness, Scatter Diagram, Karl Pearsons coefficient of correlation, Spearmans rank correlation coefficient , Linear Regression and Estimation, Coefficients of regression 8
3. Theory of Attributes
Classes and Class Frequencies, Consistency of Data, Independence of Attributes, Association of Attributes 4
4. Testing of Hypothesis
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5. Introduction to Probability
Random experiment, Sample space, Events, Axiomatic Probability, Algebra of events 4
6. Conditional Probability
Conditional Probability, Multiplication theorem of Probability, Independent events, Bayes Theorem 6
7. Random variables
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8. Mathematical Expectation
Expected value of a random variable, Expected value of a function of a random variable,Properties of Expectation and Variance, Covariance 5
Reference Books:
- Fundamentals of Mathematical Statistics – 1st Edition S.C.Gupta, V.K.Kapoor , S Chand
- Introduction to Probability & Statistics – 4th Edition J.Susan Milton, Jesse C. Arnold Tata McGraw Hill
- Fundamentals of Statistics : 7th edition S C Gupta, Himalaya Publishing house
- Probability and Statistics with Reliability, Queuing, And Computer Science Applications (English) 1st Edition: Kishore Trivedi, PHI
- Schaums Outlines Probability, Random Variables & Random Process 3rd Edition Tata McGraw Hill
- Probability & Statistics for Engineers: Dr J Ravichandran, Wiley
- Statistics for Business and Economics: Dr Seema Sharma, Wiley
- Applied Business Statistics 7th Edition Ken Black, Wiley
Assessment:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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For detail syllabus of all other subjects of Master of Computer Applications (MCA), 2016 regulation do visit MCA 1st Sem Subjects syllabus for 2016 regulation.