HS 2nd Year Statistics Syllabus 2025 PDF Download: The Assam Higher Secondary Education Council (AHSEC) Class 12 Statistics syllabus 2024-25 is available on the AHSEC official website, ahsec.assam.gov.in. There are four units that students need to cover to complete the Assam Board 12th Stats syllabus 2024-25. Students do not have to worry about the practical part of this subject, as all the 100 marks will be evaluated from the units.
Check out the course structure and syllabus given here and also download its PDF for further use. The teachers and the school authorities must circulate the latest syllabus to the students to ensure no exchange of wrong or incorrect information.
Assam Board HS 2nd Year Statistics Course Structure 2024-25
You can see from the below table that there are four units in the AHSEC 2nd year Stats syllabus which need to be completed in 200 hours.
| Unit No. | Title | Marks | Periods |
| Unit-I : | Calculus of Finite difference | 20 | 45 |
| Unit-2 : | Theory of Probability | 40 | 65 |
| Unit-3 : | Elementary Theory of Sampling and Test of Significance | 25 | 50 |
| Unit-4 : | Sample Survey | 15 | 40 |
|
| Total | 100 | 200 |
Assam HS 2nd Year Statistics Syllabus 2024-25
To get the unit-wise detailed syllabus, check the course content here and download its PDF from the link provided below:
Unit-1 : Calculus of Finite Difference :
Operators A and E. Construction of diagonal Difference tables. Estimation of missing values, Idea of interpretation. Statements and applications of Newtons Forward, Backward and Longranges interpolation formulae. Idea of numerical integration, General quadrature formula. Statement and applications of trapezoidal rule, Simpsons ⅓ rd rule and Simpsons ⅜ th rule along with the conditions under which they are derived.
Unit-2 : Theory of Probability :
Basic concepts of Random experiment, Sample point, Sample space and Event occurrence of an event, Union and intersection of events. Complement of an event. Certain and null events. Exhaus- tive, Mutually exclusive and equally likely events. Probability of an event. Classical, Emperical and axiomatic (without introducing idea of measure theory). Unconditional probability, conditional prob- ability, Dependent and independent events. Addition rule of Probability, Generalized Addition rule of Probability (upto three events). Statements and application of multiplication rule of Probabilities.
Random Variable and Distribution :
Random variable; Discrete and continuous distribution of a random variable, p.mJ. and p.d.f., density function. Representation of discret probability distribution. Probability curve of a continu- ous distribution, Mathematical expectation of a random variable. Mathematical expectation of the function of a random variable. Theorems on expectation of the sum and product of random vari- ables - only application (without derivation).
Idea of Barnoulli Trials; Binomial distribution; Mathematical form, occurrence of the distribu- tion, Derivation of the distribution, Calculation of Mean and variance. Poission distribution; Math- ematical form, Occurence of the distribution, derivation as a limiting form of Binomial distribution, calculation of mean and variance. Normal distribution, Mathematical form (without proof). Im- portant properties and their applications. Derivation of distribution of standard normal variate and its applications.
Unit-3 : Elementary Theory of Sampling and Test of Significance :
Sample and Sampling. Random sampling, Parameter and Statistic.
Sampling distribution. Unbiased estimate of a parameter. Standard error of sampling mean and sample preparation for random sampling (without Derivation) - simple applications. Statistical hypothesis - Null hypothesis alternative hypothesis, Level of significance. Test (only two tailed test) for a hypothetical population mean on the basis of information supplied by a random sample drawn from a normal having known standard deviation (application only). Students ’t’ test (only two tailed test) for an assumed mean (examples only), Large sample test (only two tailed test) for proportion (examples only). Examples on use of frequency x2 for testing independence of at- tributes in 2×2 table.
Unit-4 : Sample Survey :
Sample survey and complete enumeration. Basic principles of sample survey, validity of optimiza- tion. Principal steps in a survey, Errors in a survey. Sampling and non sampling errors. Advantage of sample survey over complete enumeration.
Simple random sampling with and without replacement - method of selection of SRS making use of Table of random number, Estimation Population mean and total, use of formula - mean and estimated population total. Limitations of SRS. Idea of stratified random sampling. Estimation of population mean (method of allocation not included). Preparation of Questionnaire and schedule. Idea of pilot survey.
To get the syllabus in PDF format, click on the link given in the box below:
-1758783117141.jpg)
Comments
All Comments (0)
Join the conversation