2nd Year Statistics Past Papers
All Solved 2nd Year Statistics Past Papers written by Honorable Professor Mr. Adnan Haider Suib. These notes are very helpful in the preparation of 2nd Year Statistics Past Papers of all Punjab Boards (Faisalabad Board, Gujranwala Board, Lahore Board, Multan Board, Rawalpindi Board, D.G. Khan Board, Bahawalpur Board, Sargodha Board, Sahiwal Board ) for the students of the Intermediate part-I and these are according to the paper patterns of all Punjab boards.
Summary and Contents:
Topics which are discussed in the notes are given below:
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- 1. Normal distribution have parameters: (A) three (B) four (C) two (Done
- 2- In standard normal distribution mean and variance respectively are: (A) 0&1 (B) 0&3 (C) 0&5 (D) 0&2
- 3- Mean and variance of a normal distribution are: (A) n.np (B) np. npq (C) μ. σ2 (D) μ.α
- 4- Number of observations falling in a sample are called: (A) sample size (B) population size (C) sample frame (D) sample desigs
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- 5- If sampling is done with replacement then total number of possible samples are: (A) N^n (B) N^Cn (C) N^Pn (D) Nn
- 6- Hp if sampling is done: (A) with replacement (B) without replacement (C) both A and B (D) neither A nor B
- 7- Any hypothesis which is accepted when null hypothesis is rejected is called: (A) simple (B) composite (C) alternative (D) statistical
- 8- Probability of rejecting H, when actually it is true is called: (A) a error (B) B error (C) level of confidence (D) level of significance
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- 9. The dependance of one variable to another variable is called: (A) interval estimation (B) point estimation (C) confidence interval (D) interval estimator
- 10. In estimation if we find single value then it is called: (A) regression (B) correlation (C) association (D) regressor
- 11. Correlation co-efficient always lies between: (A) -1 and +1 (B) 0 and 1 (C) -infinity to infinity (D) -3 and 3
- 12- Interdependance between two quantitative variables is called: (A) correlation (B) regression (C) association (D) estimation
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- 14. Chi-square test is not used if any expected frequency is less than: (A) 10 (C) 5 (C) 3 (D) 15
- 15- The graph of time series is called: (A) histogram (B) historigram (C) ogive (D) pre-diagram
- 16- Damages due to floods, strikes and fires are: (A) irregular (B) regular (C) seasonal (D) cyclical
- 17. Computers which are commonly used in offices are called___computers. (A) super (B) digital (C) analog (D) hybrid
- 2. Write short answers to any Eight questions:
- i- What are the values of two constants e and a in the equation of normal distribution?
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- ii- In normal distribution mean = 40, find median and mode.
- iii- What is relation between binomial distribution and normal distribution?
- iv- Write the equation of normal distribution with mean 30 and SD-10.
- vi- Define biased estimator.
- v- If X is N(25, 25) find the value of maximum ordinate.
- vii- Define confidence limits.
- viii- Define level of significance.
- ix- Define region of acceptance.
- x- What is meant by critical region?
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- xi- Define hardware and software.
- xii- What is CPU?
- 3. Write short answers to any Fight questions:
- i- Write any two advantages of sampling.
- ii- What is the term bias in sampling?
- iii- Explain the term probability sampling.
- iv- Give πι 1 3,2 and 2=2=2. Find var (P-P)2
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- v- Find o if N-6, n=204. For sampling with and without replacement.
- vi- Write any two purposes of sampling.
- vii- Given byx-1.4 and bxy-0.87. Find (r).
- ix- Given n=15, S-7.933, Sy 16.627 (x-x)(y-y)=148 compute byx.
- viii- Give two properties of coefficient of correlation.
- x- Define independent variable in regression model.
- xi- Sketch scatter diagram indicating positive correlation.
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- xii- What is meant by residual (error) in regression model?
- 4. Write short answers to any SIX questions:
- i- Detine association of attributes.
- ii- What is Rank correlation?
- iii- What is ultimate class frequency?
- iv- What is order of the class?
- v- Determine whether two attributes are independent or associated N-1024. (A)144, (B)384, (AB) = 54
- vi- Define historigram.
- vii- What is meant by analysis of time series?
- viii- Define secular trend.
- ix- Give two examples of seasonal movements.
- 5- (a) In a normal distribution µ 20 and 0² = 16. Find two points containing the middle 90% area.
- (b) In a normal distribution lower and upper quartiles are 25 and 35. Find the probability that (i) P(X<19) (ii) P(X<35).
- 6. (a) If the mean and variance of a population are 20 and 4 respectively, What would be the mean and S.E(x) if the samples are drawn with replacement of size 5.
- (b) Draw all possible samples of size 3 without replacement from population i.c. 2, 4, 5, 7, 10. A Find the sample proportion (p) of prime numbers in each sample. Verify that
- 2 (i) μ = P and σα p Pq N-n n N-1
- 7-(a) Calculate 95% confidence interval for population mean. Given that 249, n-25, X-83
- (b) A basket ball player has hit on 80% of his shots from the floor. If on the next 100 shots he makes 70 baskets, would you say that his shooting has improved a = 5%
- 8- (a) Given the following information: 2 n=15, x=25 y = 18, Σ(x-x)² - 136, Σ(y-y)² - 138 3 Σ(x-x)(y-y) = 122
- Compute the regression line Y on X and estimate Y when X = 24
- (b) Compute the coefficient of correlation between X and Y for the information given in part (a)
- 9- (a) The following table gives the condition at home and condition of the children:
- Test for the association between the condition at home and condition of children.
- (b) Compute 3-years moving average from the data given below: