JNTUK B.TECH R20 2-1 Syllabus For Probability and statistics PDF 2022


JNTUK B.TECH R20 2-1 Syllabus For Probability and statistics PDF 2022

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You will be able to find information about Probability and statistics along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Probability and statistics after reading this blog. Probability and statistics has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Probability and statistics can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Probability and statistics are mentioned below in detail. If you are having a hard time understanding Probability and statistics or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

Probability and statistics Unit One

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.

Probability and statistics Unit Two

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.

Get Complete Lecture Notes for Probability and statistics on Cynohub APP

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Probability and statistics Unit Three

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.

Probability and statistics Unit Four

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 estimate.

Probability and statistics Unit Five

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.

Probability and statistics Course Objectives

To familiarize the students with the foundations of probability and statistical methods

To impart probability concepts and statistical methods in various applications Engineering

Probability and statistics Course Outcomes

Upon successful completion of this course, the student should be able to

Classify the concepts of data science and its importance (L4) or (L2)

Interpret the association of characteristics and through correlation and regression tools (L4)

Make use of the concepts of probability and their applications (L3)

Apply discrete and continuous probability distributions (L3)

Design the components of a classical hypothesis test (L6)

Infer the statistical inferential methods based on small and large sampling tests (L4)

Probability and statistics Text Books

Miller and Freund’s, Probability and Statistics for Engineers,7/e, Pearson, 2008.

S. C. Gupta and V.K. Kapoor, Fundamentals of Mathematical Statistics, 11/e, Sultan Chand & Sons Publications, 2012.

Probability and statistics Reference Books

Shron L. Myers, Keying Ye, Ronald E Walpole, Probability and Statistics Engineers and the Scientists,8th Edition, Pearson 2007.

Jay l. Devore, Probability and Statistics for Engineering and the Sciences, 8th Edition, Cengage.

Sheldon M. Ross, Introduction to probability and statistics Engineers and the Scientists, 4th Edition, Academic Foundation, 2011.

Johannes Ledolter and Robert V. Hogg, Applied statistics for Engineers and Physical Scientists, 3rd Edition, Pearson, 2010

Scoring Marks in Probability and statistics

Scoring a really good grade in Probability and statistics is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your examinations . This video will also inform students on how to score high grades in Probability and statistics. There are a lot of reasons for getting a bad score in your Probability and statistics exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTUK B.Tech R20 Probability and statistics was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

Get Complete Lecture Notes for Probability and statistics on Cynohub APP

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