1st Year Statistics Guess Paper

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• Chapter No.1:  1. Define statistics.
• 2. Define population and sample.
• 3. Define population.
• 4. Write down characteristics of statistics.
• 5. Define statistics and data.
• 6. What is primary data?
• 7. Define secondary data. 
• Chapter No.2:  1. What do you meant by the term ‘classification’?
• 2. Define tabulation. 3. Differentiate between class limits and class boundaries.
• 4. What is meant by relative frequency of a class?
• 5. Define frequency distribution. 6. Define class marks. 7. Define histogram.
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• Chapter No.3: 1. What is central tendency? 2. What is meant by measures of central tendency?
• 3. Write the types of averages. 4. What are two qualities of a good average?
• 5. Mean of 5 values is 70. Find the sum of values. 6. The mean of 10 values is
• 20. If one more value is included, the mean becomes 22, find included value?
• 7. In a moderately skewed distribution, the values of mean and median are 120 and 110 respectively, find the value of mode.
• Chapter No.4: 1. Write any two advantages of the range. 2. Define relative dispersion.
• 3. What is quartile deviation? 4. Define mean deviation.
• 5. Write any two properties of standard deviation.
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• 6. Give two properties of variance. 7. Given that mean = 156.17, median = 153.50 and standard deviation = 19.03. Calculate coefficient of skewness.  
• Chapter No.5: 1. Define price index number. 2. Define index number.
• 3. Give any two uses of index numbers. 4. Define base period.
• 5. Define composite index number 6. Define price relative. 7. Define un-weighted index number. 
• Chapter No.6: 1. What is meant by equally likely events? 2. What is meant by exhaustive events?
• 3. What is meant by permutation? 4. Give classical definition of probability.
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• 5. Define sample space. 6. What is sample point? 7. Define composite event. 
• Chapter No.7: 1. What is discrete random variable? 2. What is a random variable?
• 3. Define continuous random variable. 4. What is distribution function?
• 5. Define probability density function. 6. What are the properties of discrete probability distribution? 
• Chapter No.8: 19. Enlist properties of probability mass function.
• 20. Enlist two properties of expectations. 21. If E(X) = 1.4, then find E(5x – 4).
• 22. Define mathematical expectation of a random variable.
• 23. Given: E(x) = 0 and E(x2 ) = 8/9. Find E(3x2 – 2x + 5).
• 24. Given: E9x) = 0.56, var(x) = 1.36 and if y =2x + 1, then find E9y) and var(y)
• Chapter No.9: 1. Define a Bernoulli trial. 2. Define random experiment.
• 3. Define binomial distribution. 4. Define binomial probability distribution.
• 5. Define binomial experiment. 6. A random variable X has a binomial distribution with n = 5 and p = 0.2, find P(X = 2).
• 7. A random variable ‘X’ is binomially distributed when n = 15 and p = 0.4. Find mean and variance of ‘X’.