BSc CSIT (TU) Science Statistics II (BSc CSIT, STA210) Question Paper 2074
This is the official BSc CSIT (TU) (Science stream) Statistics II (BSc CSIT, STA210) question paper for 2074, as set in the regular annual examination. It carries 60 full marks and a time allowance of 180 minutes, across 12 questions. On Kekkei you can attempt this Statistics II (BSc CSIT, STA210) past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your BSc CSIT (TU) Statistics II (BSc CSIT, STA210) exam or solving previous years' question papers, this 2074 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
Define a probability distribution. Explain the binomial distribution with its mean and variance, and state the conditions under which it is applied.
Explain the normal distribution and its properties. The mean of a normal distribution is 50 and standard deviation is 10; find the probability that a value lies between 45 and 62.
What is hypothesis testing? Explain the procedure of testing of hypothesis including null and alternative hypotheses, level of significance, types of errors and the critical region.
Section B: Short Answer Questions
Attempt any EIGHT questions.
State and explain the addition and multiplication theorems of probability with examples.
Explain the Poisson distribution with its mean and variance and state its applications.
Define a random variable. Differentiate between discrete and continuous random variables with examples.
Define mathematical expectation. State and prove its properties.
Explain the t-test for testing the significance of the difference between two sample means.
Explain the z-test for a large sample test of a single mean with an example.
Define Karl Pearson's coefficient of correlation and state its properties.
What are regression coefficients? State their properties.
Explain the concept of sampling distribution and standard error.