Syllabus for statistics and probability
In this article I am sharing a important topics for probability and statistics , if you are preparing for any competitive exam where one subject related to probability and statistics then this post very helpful for you . given below syllabus specially for probability and statistics engineering subject .
Read below important topics for studies -
1. addition and multiplication rules of probability , Bayes theorem , conditional probability , definition of probability , random .
2. Random variable , probability density function , desecrate and continues probability , expectation and variance .
3. Classification and tabulation method , mean , median , mode , importance of statistics .
4. Approximation of binomial and Poisson to normal distribution , mean variance , probability problem , Approximation of binomial to Poisson distribution .
5. Simple liner regression , Measures dispersion , Karl Pearson and bowley's measure of skewness , correlation , introduction to multiple linear regression
6. Concept of sampling distribution , sample size determination , parameter and statics , single mean and difference between two mean , single proportion and difference between two proportion , testing of hypothesis .
Reference books -
• statistical analysis for engineers by Barnes , j Wesley .
• Applied Statistical methods by Burr , Irving w .
• Introduction to probability and statistics for engineers by Ross , Sheldon M .
• Statistics for engineering problem solving by Vardeman , Stephen B .
• Applied Statistics and probability for engineers by Douglas C Montgomery , George C Runger .
In this article I am sharing a important topics for probability and statistics , if you are preparing for any competitive exam where one subject related to probability and statistics then this post very helpful for you . given below syllabus specially for probability and statistics engineering subject .
Read below important topics for studies -
1. addition and multiplication rules of probability , Bayes theorem , conditional probability , definition of probability , random .
2. Random variable , probability density function , desecrate and continues probability , expectation and variance .
3. Classification and tabulation method , mean , median , mode , importance of statistics .
4. Approximation of binomial and Poisson to normal distribution , mean variance , probability problem , Approximation of binomial to Poisson distribution .
5. Simple liner regression , Measures dispersion , Karl Pearson and bowley's measure of skewness , correlation , introduction to multiple linear regression
6. Concept of sampling distribution , sample size determination , parameter and statics , single mean and difference between two mean , single proportion and difference between two proportion , testing of hypothesis .
Reference books -
• statistical analysis for engineers by Barnes , j Wesley .
• Applied Statistical methods by Burr , Irving w .
• Introduction to probability and statistics for engineers by Ross , Sheldon M .
• Statistics for engineering problem solving by Vardeman , Stephen B .
• Applied Statistics and probability for engineers by Douglas C Montgomery , George C Runger .
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