JNTUK R19 B.Tech CSE 2-2 Probability and Statistics Material/ Notes PDF Download

JNTUK R19 B.Tech CSE 2-2 Probability and Statistics Material/ Notes PDF Download: Welcome to JNTUK R19 B.Tech 2-2 Probability and Statistics Material, where we aim to acquaint students with the fundamental principles of probability and statistical methods. Our comprehensive material is designed to impart a deep understanding of probability concepts and statistical methods, emphasizing their applications in the field of Engineering. The JNTUK R19 B.Tech Probability and Statistics Material PDF provided here is a valuable resource for students pursuing B.Tech in Computer Science and Engineering. Dive into this material to enhance your knowledge, sharpen your statistical skills, and apply these concepts effectively in various engineering applications. Whether you’re seeking notes or detailed material, our resources cater to your academic needs, ensuring a solid foundation in probability and statistics for your academic journey.

JNTUK R19 B.Tech CSE 2-2 Probability and Statistics Material – Units

Unit 1 Syllabus PDF Download | JNTUK R19 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.

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Unit 2 Syllabus PDF Download | JNTUK R19 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.

Unit 3 Syllabus PDF Download | JNTUK R19 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.

Unit 4 Syllabus PDF Download | JNTUK R19 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.

Unit 5 Syllabus PDF Download | JNTUK R19 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.

JNTUK R19 B.Tech 2-2 Probability and Statistics Notes – Outcomes

• Concepts of data science and their importance fall under Level 4 (L4).
• Interpreting the association of characteristics through correlation and regression tools is classified as Level 4 (L4).
• Making use of probability concepts and their applications is considered Level 3 (L3).
• Applying discrete and continuous probability distributions is categorized as Level 3 (L3).
• Designing the components of a classical hypothesis test is an advanced concept, falling under Level 6 (L6).
• Inferring statistical methods based on small and large sampling tests is categorized as Level 4 (L4).

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