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Tuesday, February 22, 2011

STA301- Statistics and Probability Solved 2010 Finalterm Paper

FINALTERM  EXAMINATION
Spring 2010
STA301- Statistics and Probability (Session - 4)
Question No: 1    ( Marks: 1 )    - Please choose one
 When each outcome of a sample space has equal chance to occur as any other, the outcomes are called:
       ► Mutually exclusive
       ► Equally likely
       ► Not mutually exclusive
       ► Exhaustive
   
Question No: 2    ( Marks: 1 )    - Please choose one
 The mean of the F-distribution is:


      
      
      
      
   
Question No: 3    ( Marks: 1 )    - Please choose one
 The LSD test is applied only if the null hypothesis is:

       ► Rejected
       ► Accepted
       ► No conclusion
       ► Acknowledged
   




Question No: 4    ( Marks: 1 )    - Please choose one
 Analysis of variance is a procedure that enables us to test the equality of several:

       ► Variances
       ► Means
       ► Proportions
       ► Groups
   
Question No: 5    ( Marks: 1 )    - Please choose one
 ANOVA was introduced by :

       ► Helmert
       ► Pearson
       ► R.A Fisher
       ► Francis
   
Question No: 6    ( Marks: 1 )    - Please choose one
 For testing of hypothesis about population proportion , we use:

       ► Z-test
       ► t-Test MEAN IS TESTED
       ► Both Z & T-test
       ► F test VARIANCE AND STANDARD DEVIATION
 
Question No: 7    ( Marks: 1 )    - Please choose one
 If a random variable X denotes the number of heads when three distinct coins are tossed, the X assumed the values:

       ► 0,1,2,3
       ► 1,3,3,1
       ► 1, 2, 3
       ► 3, 2
   
Question No: 8    ( Marks: 1 )    - Please choose one
 If X and Y are independent variables, then E (XY) is:

       ► E(XX)
       ► E(X).E(Y)
       ► X.E(Y)
       ► Y.E(X)

   
Question No: 9    ( Marks: 1 )    - Please choose one
 The parameters of the binomial distribution b(x; n, p) are:

       ► x & n
       ► x & p
       ► n & p
       ► x, n & p

  
Question No: 10    ( Marks: 1 )    - Please choose one
 If P (E) is the probability that an event will occur, which of the following must be false:
       P(E)= - 1
         P(E)=1
        P(E)=1/2
        P(E)=1/3
   
Question No: 11    ( Marks: 1 )    - Please choose one
 An estimator T is said to be unbiased estimator of  if

       ► E (T) =

       ► E (T) =T

       ► E (T) =0

       ► E (T) =1

   
Question No: 12    ( Marks: 1 )    - Please choose one
 The best unbiased estimator for population variance  is:

       ► Sample mean

       ► Sample median

       ► Sample proportion

       ► Sample variance

   
Question No: 13    ( Marks: 1 )    - Please choose one
 The sample variance  is:

       ► Unbiased estimator of

       ► Biased estimator of

       ► Unbiased estimator of

       ► None of these

   
Question No: 14    ( Marks: 1 )    - Please choose one
 When c is a constant, then E(c) is:

1
0
c
-c

       ► 0
       ► 1
       ► c
       ► -c

Question No: 15    ( Marks: 1 )    - Please choose one
 If f (x, y) is bivariate probability density function of continuous r.v.'s X and Y then
  is:





      
      
      
      
  
Question No: 16    ( Marks: 1 )    - Please choose one
 The analysis of variance technique is a method for :

       ► Comparing F distributions
       ► Comparing three or more means
       ► Measuring sampling error
       ► Comparing variances
    
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
 Stem and leaf is more informative when data is :
       Equal to 100

       Greater Than 100

       Less than 100

       In all situations

   
Question No: 19    ( Marks: 1 )    - Please choose one
 The branch of Statistics that is concerned with the procedures and methodology for obtaining valid conclusions is called:

       Descriptive Statistics
       Advance Statistics
       Inferential Statistics

       Sampled Statistics
   
Question No: 20    ( Marks: 1 )    - Please choose one
 Which of the following is a systematic arrangement of data into rows and columns?
       Classification
       Tabulation
       Bar chart
       Component bar chart
   
Question No: 21    ( Marks: 1 )    - Please choose one
 In normal distribution Q.D =





       
      
      
      
   
Question No: 22    ( Marks: 1 )    - Please choose one
 In normal distribution

       ► 1
       ► 2
       ► 3
       ► 0
   
Question No: 23    ( Marks: 1 )    - Please choose one
 If you connect the mid-points of rectangles in a histogram by a series of lines that also touches the x-axis from both ends, what will you get?

       Ogive
       Frequency polygon
       Frequency curve
       Historigram
   
Question No: 24    ( Marks: 1 )    - Please choose one
 Which one of the following statements is true regarding a population?
       ► It must be a large number of values
       ► It must refer to people
       ► It is a collection of individuals, objects, or measurements
       ► It is small part of whole
   
Question No: 25    ( Marks: 1 )    - Please choose one
 When ,what is the value of Median, if the distribution is symmetrical:

       ► 1
       ► 2
       ► 3
       ► 4
   
Question No: 26    ( Marks: 1 )    - Please choose one
 In a simple linear regression model, if it is assumed that the intercept parameter is equal to zero, then:
            The regression line will pass through the origin
       ► The regression line will pass through the point (0,10).
       ► The regression line will pass through the point (0,-10).
       ► The slope of the line will also be equal to 0.
 
Question No: 27    ( Marks: 1 )    - Please choose one
 The degrees of freedom for a t-test with sample size 10 is:

       ► 5
       ► 8
       ► 9 n-1
       ► 10
   
Question No: 28    ( Marks: 1 )    - Please choose one
 In testing of  hypothesis, we always begin it with assuming that:

       ► Null hypothesis is true
It is shown by h0 and first we assumption is h0
       ► Alternative hypothesis is true
       ► Sample size is large
       ► Population is normal
  
Question No: 29    ( Marks: 1 )    - Please choose one
 A failing student is passed by an examiner is an example of:

       ► Type I error

       ► Type II error

       ► Correct decision

       ► No information regarding student exams

   
Question No: 30    ( Marks: 1 )    - Please choose one
 How to find ?
       ► f(0, 0) + f(0, 1) + f(1, 2)
       ► f(2, 0) + f(0, 1) + f(1, 0)
       ► f(0, 0) + f(1, 1) + f(1, 0)
       ► f(0, 0) + f(0, 1) + f(1, 0)
 
Question No: 31    ( Marks: 2 )
 How many parameters are involved in hypergeometric distribution?

Three N n k
Poission mean is np and variance and mean are equal

   
Question No: 32    ( Marks: 2 )
 If an automobile is driven on the average no more than 16000 Km per year, then formulate the null and alternative hypothesis.



   
Question No: 33    ( Marks: 2 )
 Write down the test statistic when chi- square goodness of fit test is performed.            

   
Question No: 34    ( Marks: 3 )
 Find the value of  F(table value), when ,  and α= 0.05         

3.37                         

   
Question No: 35    ( Marks: 3 )
 If X = 327, n = 634, 0.50 then find the z-test statistic for proportion.

   
Question No: 36    ( Marks: 3 )
 If population proportions are given as:




Find    ,where n = 10
   
= p1q1/n1+p2q2/n2
Question No: 37    ( Marks: 5 )
 A candidate for mayor in a large city hires the services of a poll-taking organization, and they found that 62 of 100 educated voters interviewed support the candidate, and 69 of 150 uneducated voters support him.
At the 0.05 significance level, test the following



   
Question No: 38    ( Marks: 5 )
 If we have RCBD with MSE=3.19, no.of.treatments = 4, no.of.blocks = 5; then find the value of LSD (least significant difference) for treatments by using α=0.05 and error degrees of freedom is 12.

   
Question No: 39    ( Marks: 5 )
 Find the mean and variance for the sampling distribution given below.




F( )
F( )
 F( )
0
1/20



1/3
9/20



2/3
9/20



1
1/20



1










Mean=

Variance=

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