Course Outcomes:
Upon successful completion of this course, students will be able to:
1. Obtain summary statistics of numerical data.
2. Represent numerical data diagrammatically and graphically.
3. Perform simple correlation and simple linear regression analysis.
4. Compute probability of events.
5. Explain binomial, Poisson, and Normal distributions.
6. Perform elementary hypothesis testing
Syllabus Contents:
Unit 1
Measures of Central Tendency: Arithmetic mean, median, mode, geometric mean, harmonic mean. Measures of Dispersion: range, quartile deviation, mean deviation, standard deviation, variance, coefficient of variation. Graphical representation: bar chart, histogram, pie chart
Unit 2
Correlation: concept of correlation between two variables, types of correlation, scatter Regression: meaning and utility of regression analysis, simple linear regression, interpretation of regression coefficients, coefficient of determination.
Unit 3
Probability: random experiment, sample space, event, mutually exclusive events, exhaustive events, independent events, classical definition of probability, addition and multiplication laws of probability, conditional probability. Probability distributions: discrete and continuous random variables, Binomial, Poisson, and Normal distributions.
Unit 4
Testing of hypotheses: null and alternative hypotheses, procedure of testing of a hypothesis, critical region, type I and type II errors, one sample and two sample tests, paired t-test, chi-square test for variance, F-test for two variances, chi-square test of independence
- Teacher: Santosh Devekar
- Teacher: Ketaki Kambale
- Teacher: Nagina Mali
- Teacher: Naziya Mullani
- Teacher: Priyanka Surve