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Tuesday, February 22, 2011

Complete Solved Paper STA301

FINAL TERM PAPER
STA301-

Question No: 1    ( Marks: 1 )    - Please choose one
 10! =………….

       ► 362880
       ► 3628800
       ► 362280
       ► 362800
   
Question No: 2    ( Marks: 1 )    - Please choose one
 When E is an impossible event, then P(E) is:

       ► 2
       ► 0
       ► 0.5
       ► 1

   
Question No: 3    ( Marks: 1 )    - Please choose one
 The value of χ2can never be :

       ► Zero
       ► Less than 1
       ► Greater than 1
       ► Negative

   
Question No: 4    ( Marks: 1 )    - Please choose one
 The curve of the F- distribution depends upon:

       ► Degrees of freedom
       ► Sample size
       ► Mean
       ► Variance
   
Question No: 5    ( Marks: 1 )    - Please choose one
 If X and Y are random variables, then is equal to:

      
      
       
      

Question No: 6    ( Marks: 1 )    - Please choose one
 In testing hypothesis, we always begin it with assuming that:

       ► Null hypothesis is true
       ► Alternative hypothesis is true
       ► Sample size is large
       ► Population is normal
   
Question No: 7    ( Marks: 1 )    - Please choose one
 For the Poisson distribution P(x) =  the mean value is :
                    2
       ► 5

                   10                                                       
       ► 0.135

   
Question No: 8    ( Marks: 1 )    - Please choose one
 When two coins are tossed simultaneously, P (one head) is:

      
      
      
       ► 1
   
Question No: 9    ( Marks: 1 )    - Please choose one
 From point estimation, we always get:

       ► Single value

       ► Two values

       ► Range of values

       ► Zero


Question No: 10    ( Marks: 1 )    - Please choose one
 The sample variance  is:

       ► Unbiased estimator of

       ► Biased estimator of

       ► Unbiased estimator of

       ► None of these

   
Question No: 11    ( Marks: 1 )    - Please choose one
 Var(4X + 5) =__________

       ► 16 Var (X)
       ► 16 Var (X) + 5
       ► 4 Var (X) + 5
       ► 12 Var (X)
   
Question No: 12    ( Marks: 1 )    - Please choose one
 When f (x, y) is bivariate probability density function of continuous r.v.'s X and Y, then
 is equal to:
       ► 1
       ► 0
       ► -1
      
 
Question No: 13    ( Marks: 1 )    - Please choose one
 The area under a normal curve between 0 and -1.75 is

       ► .0401

       ► .5500

       ► .4599
       ► .9599
   
Question No: 14    ( Marks: 1 )    - Please choose one
 When a fair die is rolled, the sample space consists of:

       ► 2 outcomes
       ► 6 outcomes
       ► 36 outcomes

                         16 outcomes
   
Question No: 15    ( Marks: 1 )    - Please choose one
  When testing for independence in a contingency table with 3 rows and 4 columns, there are ________ degrees of freedom.
       5
       ► 6
       ► 7
       ► 12
   
Question No: 16    ( Marks: 1 )    - Please choose one
 The F- test statistic in one-way ANOVA is:
       ► SSW / SSE
       ► MSW / MSE
       ► SSE / SSW
       ► MSE / MSW
    
Question No: 17    ( Marks: 1 )    - Please choose one
 The continuity correction factor is used when:

       The sample size is at least 5
       Both nP and n (1-P) are at least 30
       A continuous distribution is used to approximate a discrete distribution
       The standard normal distribution is applied
   
Question No: 18    ( Marks: 1 )    - Please choose one
 A uniform distribution is defined by:

       Its largest and smallest value
       Smallest value
       Largest value
       Mid value
   
Question No: 19    ( Marks: 1 )    - Please choose one
  Which graph is made by plotting the mid point and frequencies?

       Frequency polygon

       Ogive

       Histogram

       Frequency curve

   
Question No: 20    ( Marks: 1 )    - Please choose one
 In a set of 20 values all the values are 10, what is the value of median?

       ► 2
       ► 5
       ► 10
       ► 20
   
Question No: 21    ( Marks: 1 )
 If  = , = , =  and =
Then find F (1)

   
Question No: 22    ( Marks: 2 )
 Write down the formula of mathematical expectation.

e=(w * p) + (-v *1). e
   
Question No: 23    ( Marks: 3 )
 Discuss the statistical independence of two discrete random variables:


Question No: 24    ( Marks: 3 )
 For given data calculate the mean and standard deviation of sampling distribution of mean if the sampling is down without replacement.

   
Question No: 25    ( Marks: 3 )
 Elaborate the Least Significant Difference (LSD) Test.



Question No: 26    ( Marks: 3 )
 State the Bayes’ Theorem.




Question No: 27    ( Marks: 5 )
 The means and variances of the weekly incomes in rupees of two samples of workers are given in the following table, the samples being randomly drawn from two different factories:






Calculate the 90% confidence interval for the real difference in the incomes of the workers from the two factories.

   
Question No: 28    ( Marks: 5 )
 From the given data and .
Carry out the significance test for the stated hypothesis.

   
Question No: 29    ( Marks: 5 )
 Given the Probability density function
.




Compute the distribution function F(x).

   
Question No: 30    ( Marks: 10 )
 
a)         Verify that f(x,y) is a joint
            density function.
b)         Calculate   

   
Question No: 31    ( Marks: 10 )
 Let be a random sample of size 3 from a population with mean   
Consider the following two estimators of the mean


Which estimator should be preferred?

Stat final information
Total question 31

21 was mcqs and 10 was subjective questions.
                        2 was of 10,10 marks
                        2 was of 5,5 marks
                        4 was of 3,3 marks     these question ware about properties and 1 was about confidece interval
                        2 was of 1, 1 marks,   these question were only about defitions.

1) 1  question from confidence interval ,    question was of 3 marks,
          find the confidence interval for difference between two ( papolation means)  u1 , u2,  
      ye question handouts main say hi aya tha,  i think lecture no 35 main say tha.
2)  1 question from hypotheyes testing ( Z- test) ,              marks 10
3)   2 questions was about properties, one was, write the properties of binomial distribution. and other was ,
             what is the good point estimator?
4) 1 question was from lecture no 23 , this was of 3 marks

           page no 172,  1st example was same to same.
         find the F(x) of { 1, 2}
        x and f( x) was given.

Definition estimate n estimator

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