sc JNTU-A B.TECH R20 1-2 Syllabus For Probability and statistics PDF 2022 – Cynohub

# JNTU-A B.TECH R20 1-2 Syllabus For Probability and statistics PDF 2022

### Get Complete Lecture Notes for Probability and statistics on Cynohub APP  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

Statistics Introduction, Measures of Variability (dispersion) Skewness Kurtosis, correlation,
correlation coefficient, rank correlation, principle of least squares, method of least squares, regression
lines, regression coefficients and their properties.

### Probability and statistics Unit Two

#### Probability

Probability, probability axioms, addition law and multiplicative law of probability, conditional
probability, Baye’s theorem, random variables (discrete and continuous), probability density functions,
properties.

### Get Complete Lecture Notes for Probability and statistics on Cynohub APP  ### Probability and statistics Unit Three

#### Probability distributions

Discrete distribution – Binomial, Poisson approximation to the binomial distribution and their
properties. Continuous distribution: normal distribution and their properties.

### Probability and statistics Unit Four

#### Estimation and Testing of hypothesis, large sample tests

Estimation-parameters, statistics, sampling distribution, point estimation, Formulation of null
hypothesis, alternative hypothesis, the critical and acceptance regions, level of significance, two types
of errors and power of the test. Large Sample Tests: Test for single proportion, difference of
proportions, test for single mean and difference of means. Confidence interval for parameters in one
sample and two sample problems

### Probability and statistics Unit Five

#### Small sample tests

Student t-distribution (test for single mean, two means and paired t-test), testing of equality of
variances (F-test), χ2 – test for goodness of fit, χ2 – test for independence of attributes.

### 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
● Make use of the concepts of probability and their applications (L3)
● Apply discrete and continuous probability distributions (L3)
● Classify the concepts of data science and its importance (L4)
● Interpret the association of characteristics and through correlation and regression tools
(L4)
● Design the components of a classical hypothesis test (L6)
● Infer the statistical inferential methods based on small and large sampling tests

### Probability and statistics Text Books

Miller and Freunds, Probability and Statistics for Engineers,7/e, Pearson, 2008.
2. S.C. Gupta and V.K. Kapoor, Fundamentals of Mathematical Statistics, 11/e, Sultan Chand &
Sons Publications, 2012.

### Probability and statistics Reference Books

S. Ross, a First Course in Probability, Pearson Education India, 2002.
2. W. Feller, an Introduction to Probability Theory and its Applications, 1/e, Wiley, 1968.
3. Peyton Z. Peebles ,Probability, Random Variables & Random Signal Principles -, McGraw
Hill Education, 4th Edition, 2001.

### Scoring Marks in Probability and statistics  