JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material/ Notes PDF Download

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JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material/ Notes PDF Download: Explore the world of probability and statistics with the JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material, crafted for B Tech students. This resource is designed to introduce students to the basic principles of probability and statistical methods, providing a strong foundation for their application in various engineering scenarios. Delve into detailed notes and material to gain insights into these concepts, making it easier to understand and apply them in real-world engineering situations.

Access this valuable resource through a convenient JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material PDF download, ensuring a seamless learning experience for academic success in the field of engineering.

JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material – Units

No. Of Units Name of the Unit
Unit – 1 Descriptive statistics and methods for data science
Unit – 2 Correlation and Curve fitting
Unit – 3 Probability and Distributions
Unit – 4 Sampling Theory
Unit – 5 Tests of Hypothesis

Unit 1 Syllabus PDF Download | JNTUK R20 B Tech Probability and Statistics Material

Descriptive statistics and methods for data science: Data science – Statistics Introduction – Population vs Sample – Collection of data – primary and secondary data – Type of variable: dependent and independent Categorical and Continuous variables – Data visualization – Measures of Central tendency – Measures of Variability (spread or variance) – Skewness Kurtosis.

JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material – PDF Download
To Download The JNTUK R20 B Tech CSE 2-2 Probability and Statistics Unit 1 Notes Download PDF

Unit 2 Syllabus PDF Download | JNTUK R20 B Tech Probability and Statistics Material

Correlation and Curve fitting: Correlation – correlation coefficient – rank correlation – regression coefficients and properties – regression lines – Method of least squares – Straight line – parabola – Exponential – Power curves.

JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material – PDF Download
To Download The JNTUK R20 B Tech CSE 2-2 Probability and Statistics Unit 2 Notes Download PDF

Unit 3 Syllabus PDF Download | JNTUK R20 B Tech Probability and Statistics Material

Probability and Distributions: Probability – Conditional probability and Baye’s theorem – Random variables – Discrete and Continuous random variables – Distribution function – Mathematical Expectation and Variance – Binomial, Poisson, Uniform and Normal distributions.

JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material – PDF Download
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Unit 4 Syllabus PDF Download |  JNTUK R20 B Tech Probability and Statistics Material

Sampling Theory: Introduction – Population and samples – Sampling distribution of Means and Variance (definition only) – Central limit theorem (without proof) – Introduction to t, 2, and F distributions – Point and Interval estimations – Maximum error of the estimate.

JNTUK R20 B Tech CSE 2-2 Probability and Statistics Material – PDF Download
To Download The JNTUK R20 B Tech CSE 2-2 Probability and Statistics Unit 4 Notes Download PDF

Unit 5 Syllabus PDF Download | JNTUK R20 B Tech Probability and Statistics Material

Tests of Hypothesis: Introduction – Hypothesis – Null and Alternative Hypothesis – Type I and Type II errors – Level of significance – One-tail and two-tail tests – Tests concerning one mean and two means (Large and Small samples) – Tests on proportions.

– PDF Download
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JNTUK R20 B Tech CSE P&S Material – Outcomes

  • Data Science Concepts: Understand key data science concepts and recognize their importance.
  • Association Analysis: Use correlation and regression tools to interpret associations between characteristics.
  • Probability Basics: Grasp fundamental probability concepts and their practical applications.
  • Probability Distributions: Apply knowledge of both discrete and continuous probability distributions.
  • Hypothesis Test Design: Design components for classical hypothesis tests, showcasing advanced skills.
  • Statistical Inference Methods: Infer statistical methods for small and large sampling tests, drawing meaningful conclusions from data.

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