MCQ 25

 

                                          MCQ 25

     1.   β₁  is used as a measure

A.       Kurtosis.

B.        Peakedness.

C.        Skewness.

D.       Length.

     2.   Β₂  is used to explain the shape of the curve and is  measure of

A.       Height.

B.        Peakedness.

C.        Skewness.

D.       Length.

      3.      ----------------------- are/is not affected by a change of origin but are/is affected by change of scale.

A.        Arithmetic Mean.

B.         Geometric Mean.

C.         Harmonic Mean.

D.        Moments.

     4.   The computation of the moment depends upon the sum of the product of the frequencies by the corresponding

A.       Values of the constant.

B.        Values of the variable.

C.        Values of the serial number.

D.       Values of the distribution.

     5.   If the right tail is longer than the left tail the distribution is said to be have

A.       Positive skewness.

B.        Negative skewness.

C.        Normal skewness.

D.       Abnormal skewness.

     6.    It the left tail is longer than the right tail the distribution is said to be having

A.       Positive skewness.

B.        Left tail skewness.

C.        Right tail skewness.

D.       Negative skewness.

      7.    In a distribution

   Mean > median > mode.

A.       Positively skewed.

B.        Median centered.

C.        Negatively skewed.

D.       Sandwiched.

     8.    In a distribution.

   Mode > median > mode.

A.       Positively skewed.

B.        Median centered.

C.        Negatively skewed.

D.       Sandwiched.

     9.   The normal curve is itself called

A.       Meso-kurtic.

B.        Platy-kurtic.

C.        Lepto-kurtic.

D.       Norno-kurtic.

    10.   Percentile coefficient of kurtosis

                     K = Q.D/P₉₀ – P₁₀

      Where K for normal distribution is

A.       1.

B.        0.264.

C.        0.265.

D.       0.263.

    11.     The first moment about   x = 0 is the

A.       Variance.

B.        Arithmetic mean.

C.        Standard deviation.

D.       Range.

    12.     The second moment about the mean is the

A.       Standard deviation.

B.        Geometric mean.

C.        Variance.

D.       Range.

    13.    The third moment is a measure of

A.        Variability.

B.         Kurtosis.

C.         Skewness.

D.         Peakedness.

     14.   The fourth central moment is used to measure

A.        Variability.

B.         Kurtosis.

C.         Skewness.

D.        Peakedness.

     15.   The first four moments play a key role in describing a

A.        Plan.

B.         Program.

C.         Frequency.

D.        Frequency distribution.

     16.    The name Economatrics was introduced in 1962 by Norwegian economist

A.       John Dalton.

B.        Boher.

C.        Ranger Frisch.

D.       Gauss.

    17.      Economatrics is the combination of two words economy and……………………… (Measurement).

A.       Meter.

B.        Measure.

C.        Mattress

D.       Matrics.

    18.   Economatrics may be defined as “the social science in which the tools of economic theory, mathematics and statistical inference is applied to the analysis of

A.       Economic phenomena”.

B.        Mathematical phenomena”.

C.        Scientific phenomena”.

D.       Statistical phenomena”.

   19.   A main task of …………………….. is to provide a bridge between exact relationship and disturbed relationship of economic theory i.e.

         y = α + βx (exact).

         y =   α + βx + ε (disturbed).

A.       Mathematics.

B.        Econometrics.

C.        Statistics.

D.       Physics.

     20.   The first and foremost step of every econometric research is to express the relationship of the

A.        Problem.

B.         Equation.

C.         Design.

D.        Model.

     21.   Econometrics may be divided in two branches.

(a). Theoretical Econometrics.

(b).

A.     Scientific Econometrics.

B.     Mathematical Econometrics.

C.     Applied Econometrics.

D.     Statistical Econometrics

     22.   Theoretical Econometrics is concerned with the development of appropriate methods and techniques for the measurement of

A.      Econometrics Relationship.

B.       Economic Relationship.

C.       Econometrics.

D.      Economy.

     23.   ……………………………depends much on mathematical statistics, single equation and simultaneous equation techniques are used for the measuring economic relationship.

A.      Theoretical Econometrics.

B.        Mathematical Econometrics.

C.        Statistical Econometrics.

D.       Applied Econometrics.

     24.   Applied econometrics includes the application of econometrics methods or application of

A.        Theoretical Econometrics.

B.         Mathematical Econometrics.

C.         Statistical Econometrics.

D.        Social Econometrics.

      25.   Applied econometrics makes it possible to obtain the

A.        True results.

B.         Economic advantages.

C.         Numerical results.

D.        Applicable results.

                                    MCQ 25         Answers

1	C	2	B	3	D	4	B	5	A
6	D	7	A	8	C	9	A	10	D
11	B	12	C	13	C	14	B	15	D
16	C	17	D	18	A	19	B	20	D
21	C	22	B	23	A	24	A	25	C