STA301 Final Term MCQs 2026 by Ali Khan
- Type
- Final term past paper
- Course
- STA301 Statistics and Probability
- Size
- PDF 9.5 MB
- Updated
- 23 Oct 2026
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Q1. In a bivariate probability distribution of X and Y,
If f(0,1)=3/14, g(0)=5/14 and h(1)=3/7,
then
A. Both of these B. X and Y are statistically independent
C. X and Y are not statistically independent
D. None of these
Q2. A random sample of n = 6 has the elements 6, 10,13,14,18 and 20. What is the point estimate of the population mean?
Correct answer: 13.5
Q3. In a binomial experiment ,probability of success changes on:
Correct answer: Each trial
Q4. The mean of the continuous probability function f(x) can be obtained by
Correct answer: Integrating the product xf(x)
Q5. We can obtain the individual probabilities of x and y from the joint probability function/distribution of
Correct answer: Marginal probabilities
Q6. Which of the following statements is not an example of a continuous random variable?
Correct answer: The price for cheese cake in New York Style cheese cake
Q7. Which of the following is not true statement for the hypergeometric distribution?
Correct answer: A constant probability of success
Q8. Let the random variable Z have the standard normal distribution. P (Z > 1.96) is:
Correct answer: 0.0250
Q9. If a random variable X denotes the number of heads when we toss a fair coin 5 times, the X assumed the values:
Correct answer: 0, 1, 2,3,4,5
Q10. If the first moment ratio is equal to 0, then the distribution will be:
Correct answer: Symmetrical
Q1. Which of the following is not true statement for the hypergeometric distribution?
Correct answer: A constant probability of success
Q2. In sampling from a large population with б = 35, the standard error of the mean is found to be 4. The size of the sample used is:
Correct answer: 77
Q3. What condition is required before the central limit theorem justifies approximating the sampling distribution of the mean with a normal distribution?
Correct answer: n > 30
Q4. Integrating the product of x and f(x) from range
–∞ to +∞ give us the
A. First moment about origin
B. Cumulative probability of x C. First moment about mean D. Total probability of x
Q5. A statistic whose standard deviation decreases with an increase in sample size will be called:
Correct answer: Consistent
Q6. If X and Y are independent, then Cov (X, Y) is equal to:
Correct answer: 0
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