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well this is alsofor final term plz check it,,,thnks faheem,,,this is good efforts,,,keep it up frnd,,,,

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very good job

jazakallah

             bhai plzzzz mgt 611 k papers plz solved papers dhond dain

ok as Soon as possible i will post Mgt 611 papers

i am having one stats301 unsolved file..... can u pls solve it for me ?????

ma bht tens hn mgt 611 k papers ni milty

kahin sa b oper sa mid ka paper mery  khyal sa acha hua tha but marks bilkul bht km thy pt ni usy kesy clear krna ha

i really worry for it.

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FINALTERM EXAMINATION Fall 2009

STA301- Statistics and Probability

 

 

 

Question No: 1    ( Marks: 1 )     - Please choose one


 

 

 

Time: 120 min

Marks: 70

 

In measures of relative dispersion unit of measurement is:

 

► Changed

► Vanish

► Does not changed

► Dependent

 

 

 

Question No: 2    ( Marks: 1 )     - Please choose one

                                                                                                                                                  The location of the critical region depends upon:

 

► Null hypothesis

► Alternative hypothesis

► Value of alpha

► Value of test-statistic

 

Question No: 3    ( Marks: 1 )     - Please choose one

                                                                                                                                                    The

F-distribution always ranges from:

 

 

 

► 0 to 1

► 0 to -∞

► -∞ to +∞

► 0 to +∞

 

Question No: 4    ( Marks: 1 )     - Please choose one

                                                                                                                                                   In chi-square test of independence the degrees of freedom are:

 

► n - p

► n - p-1

► n - p- 2

► n – 2

 

Question No: 5    ( Marks: 1 )     - Please choose one

                                                                                                                                                   For a particular data the value of Pearson’s coefficient of skewness is greater then zero. What will be the shape of distribution?

 

► Negatively skewed

 

► J-shaped

 

► Symmetrical

 

► Positively skewed

 

 

 

Question No: 6    ( Marks: 1 )     - Please choose one

                                                                                                                                                   If X

Y

 

 

 

E  X

and Y are random variables, then


is equal to:

 

E(Y

 

E  X )

E(Y

 

E  X )

E  Y

 

X

Y

 

E  X   

 

Question No: 7    ( Marks: 1 )     - Please choose one

                                                                                                                                                  If ŷ is the predicted value for a given x-value and b is the y-intercept then the equation of a regression line for an independent variable x and a dependent variable y is:

 

►  ŷ = mx + b, where m = slope

►  x = ŷ + mb, where m = slope

►  ŷ = x/m + b, where m = slope

►  ŷ = x + mb, where m = slope

 

Question No: 8    ( Marks: 1 )     - Please choose one

                                                                                                                                                   The

Chi- Square distribution is continuous distribution ranging from:

 

 

 

► -∞ ≤ χ2≤ ∞

► -∞ ≤χ2 ≤1

► -∞ ≤χ2 ≤0

► 0 ≤ χ2≤ ∞

 

Question No: 9    ( Marks: 1 )     - Please choose one

                                                                                                                                                  The variance of the t-distribution is give by the formula:

 

 

2

 

2

 

 

 

2

 

2

 

2

 

 

 

1

 

2

 

 

2

 

 

 

 

 

2

 

Question No: 10    ( Marks: 1 )     - Please choose one

 

Which one is the correct formula for finding desired sample size?

 

 

 

.

 

2

 

Z

 

2

 

e

 

n

 

 

 

 

 

.

 

2

 

Z

 

2

 

e

 

n

 

 

 

 

 

.X

 

2

Z

 

2

 

e

 

n

 

 

 

.

 

Z

n

2

 

e

 

Question No: 11    ( Marks: 1 )     - Please choose one

                                                                                                                                                  A

 

discrete probability function f(x) is always:

 

 

 

 

 

 

► Non-negative

► Negative

► One

► Zero

 

Question No: 12    ( Marks: 1 )     - Please choose one

 

 

E(4X + 5) =_____    _    

 

► 12 E (X)

► 4 E (X) + 5

► 16 E (X) + 5

► 16 E (X)

 

Question No: 13    ( Marks: 1 )     - Please choose one

 

 

How P(X + Y < 1) can be 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: 14    ( Marks: 1 )     - Please choose one

                                                                                                                                                  The

 

 

 

f   x |1 

___   _   __:

 

 

f  1,1

f   x,1

f   x,1

h 1

 

f   x,1

h  x

 

 

Question No: 15    ( Marks: 1 )     - Please choose one

                                                                                                                                                  The area under a normal curve between 0 and -1.75 is

 

► .0401

► .5500

► .4599

► .9599

 

Question No: 16    ( Marks: 1 )     - Please choose one

                                                                                                                                                  In

normal distribution M.D. =

 

 

 

 

 

► 0.5

 

 

► 0.75

 

 

► 0.7979

► 0.6445

 

Question No: 17    ( Marks: 1 )     - Please choose one

                                                                                                                                                  In

an ANOVA test there are 5 observations in each of three treatments.  The degrees of freedom in the numerator and denominator respectively are.......

► 2, 4

► 3, 15

► 3, 12

► 2, 12

 

Question No: 18    ( Marks: 1 )     - Please choose one

 

A set that contains all possible outcomes of a system is known as

 

►             Finite Set

 

►             Infinite Set

►             Universal Set

►             No of these

 

Question No: 19    ( 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: 20    ( Marks: 1 )     - Please choose one

                                                                                                                                                   A

population that can be defined as the aggregate of all the conceivable ways in which a specified event can happen is known as:

 

► Infinite population

► Finite population

► Concrete population

► Hypothetical population

 

Question No: 21    ( Marks: 1 )

 

If E(T )


 

 

, what do you say about the estimator T, where        is a parameter ?

 

Question No: 22    ( Marks: 2 )

 

What is a binomial experiment?

 

 

 

Question No: 23    ( Marks: 3 )

 

Formulate the null and alternative hypothesis in each of the following.

(1) Average domestic consumption of electricity is 50 units per month.

(2) Not more than 30% people pay Zakat (tax).

 

 

 

Question No: 24    ( Marks: 3 )

 

What is mathematical expectation of discrete random variable?

 

Question No: 25    ( Marks: 3 )

 

 

Why we prefer to use pooled estimator


pˆ c

 

 

 

Question No: 26    ( Marks: 3 )

 

 

Question No: 27    ( Marks: 5 )

                                                                                                                                                  A

 

random sample of size n is drawn from normal population with mean 5 and variance        . Answer the following:

If s=15,  x =14 and t=3, what is values of n?

 

 

 

Question No: 28    ( Marks: 5 )

                                                                                                                                                  A

 

population 2, 4, 6, 8, 10, 12

 

N=6,    n=2

 

 

2

 

After drawing possible samples, we have calculated sampling mean


7

 

ux   

and

 

 

,          b)     2

x                                                 x

 

a)

n

2       5.83

x

 

3

 

sampling variance                      . Verify

 

 

 

Question No: 29    ( Marks: 5 )

 

Given the Probability density function

.

 

 

 

 

,

 

 x

f  x       2


for 0    x    2

 

 

2

 

0,    elsewhere

 

 

Compute the distribution function F(x).

 

 

 

Question No: 30    ( Marks: 10 )

                                                                                                                                                         A research worker wishes to estimate the mean of a population using a sample sufficiently large that the probability will be 0.95 that the sample mean will not differ from the true mean by more than 25 percent of the standard deviation. How large a sample should be taken?

 

 

An urn contains nine balls; five of them are red and four blue. Three balls are drawn without replacement. Find the distribution of X= number of red balls drawn.

this is great job thanx for saving our time .

god bless u

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