Syllabus

JNTUK B.Tech Probability and Statistics for R13 Batch.

JNTUK B.Tech Probability and Statistics gives you detail information of Probability and Statistics R13 syllabus It will be help full to understand you complete curriculum of the year.

UNIT I Random variables and Distributions

Introduction- Random variables- Distribution function- Discrete distributions ( Review of Binomial and Poisson distributions)

Continuous distributions: Normal, Normal approximation to Binomial distribution, Gamma and Weibull distributions

  • Subject Category
    ABET Learning Objectives a b e k
    ABET internal assessments 1 2 6
    JNTUK External Evaluation A B E

UNIT II Moments and Generating functions:

Introduction-Mathematical expectation and properties – Moment generating function – Moments of standard distributions ( Binomial, Poisson and Normal distributions) – Properties

  • Subject Category
    ABET Learning Objectives a e
    ABET internal assessments 1 2 6
    JNTUK External Evaluation A B E

UNIT III Sampling Theory

Introduction – Population and samples- Sampling distribution of mean for large and small samples (with known and unknown variance) – Proportion sums and differences of means -Sampling distribution of variance -Point and interval estimators for means and proportions

  • Subject Category
    ABET Learning Objectives a e k
    ABET internal assessments 1 2 6
    JNTUK External Evaluation A B E

UNIT IV Tests of Hypothesis:

Introduction – Type I and Type II errors – Maximum error – One tail, two-tail tests- Tests concerning one mean and proportion, two means- Proportions and their differences using Z-test, Student’s t-test – F-test and Chi -square test – ANOVA for one-way and two-way classified data

  • Subject Category
    ABET Learning Objectives a b d e h k
    ABET internal assessments 1 2 6 7 10
    JNTUK External Evaluation A B D E F

UNIT V Curve fitting and Correlation

Introduction – Fitting a straight line –Second degree curve-exponential curve-power curve by method of least squares. Simple Correlation and Regression – Rank correlation – Multiple regression

  • Subject Category
    ABET Learning Objectives a d e h k
    ABET internal assessments 1 2 6 10
    JNTUK External Evaluation A B E

UNIT VI Statistical Quality Control Methods:

Introduction – Methods for preparing control charts – Problems using x-bar, p, R charts and attribute charts

  • Subject Category
    ABET Learning Objectives a e k
    ABET internal assessments 1 2 6
    JNTUK External Evaluation A B E F

Books

  • Probability and Statistics for Engineers: Miller and John E. Freund, Prentice Hall of India
  • Probability and Statistics for Engineers and Scientists: Ronald E. Walpole, Sharon L. Mayers and Keying Ye: Pearson
  • Probability, Statistics and Random Processes, Murugesan, Anuradha Publishers, Chenai
Subject Category ABET Learning Objectives ABET Internal Assessments JNTUK External Evalution Remarks
Theory Design Analysis Algorithms Drawing Others a) Apply knowledge of math, science, & engineering 1. Objective tests A. Questions should have:
b) Design & conduct experiments, analyze & interpret data 2. Essay questions tests B. Definitions, Principle of operation or philosopy of concept. Mathematical
c) Design a system/process to meet desired needs within economic, social, political, ethical, health/safety, manufacturability, & sustainability constraints 3. Peer tutoring based C. treatment, derivations, analysis, synthesis, numerical problems with inference. Design oriented problems
d) Function on multidisciplinary teams 4. Simulation based D. Trouble shooting type of
e) Identify, formulate, & solve engineering problems 5. Design oriented E. Questions Applications related questions
f) Understand professional & ethical responsibilities 6. Problems based F. Brain storming questions
g) Communicate effectively 7. Experiential (project based) based
h) Understand impact of engineering solutions in global, economic, environmental, & societal context 8. Lab work or field work based
i) Recognize need for & be able to engage in lifelong learning 9. Presentation based
j) Know contemporary issues 10. Case Studies based
k)Use techniques, skills, modern tools for engineering practices 11. Role- Play based
12. Portfolio based

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