G.M. Between ----- Is Called To Be Fisher’S Index Number?
G.M. Between ----- Is Called To Be Fisher’S Index Number?
Fisher And Paasche’S | |
Paasche’S Index Number | |
Marshall And Laspeyr’ | |
Laspeyre’S And Paasche’S |
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G.M. Between ----- Is Called To Be Fisher’S Index Number?
Fisher And Paasche’S | |
Paasche’S Index Number | |
Marshall And Laspeyr’ | |
Laspeyre’S And Paasche’S |
G.M. Are Set Of ‘N’ Values Product Of The Nth Roots Of The -------?
Zero Reject | |
All +Ve, -Ve Value | |
None Of These | |
Given Value |
Frequency Table Is An Arrangement Of Data By Classes Together With Their ---- Class Frequencies?
Corresponding Class | |
Terms | |
Alternate Class | |
Same Class |
For Two Independent Random Variables X & Y, Var (X ± Y)-------?
Var(X) + Var (Y) | |
Var (X)± | |
Var(X) – Var (Y) | |
Zero |
For Two Estimators T1=T1(X1,X2,….Xn) And T1=T1(X1,X2,….Xn) Then Estimators T1 Is Defined To Be Rt1(Θ)≤Rt2(Θ) For All Θ In Θ ?
Admissible Estimator | |
Minimax Estimator | |
Consistent Estimator | |
Sufficient Estimator |
For T Distribution, Increasing The Sample Size, The Affect Will Be On ?
All Above | |
The T-Ratio | |
Standard Error Of The Means | |
Degrees Of Freedom |
For Mesokurtic Curve Of The Distribution, Β2 Is---------?
3 | |
None Of These | |
Zero |
For Making Voters Lists In Pakistan We Need --------?
Simple Random Sampling | |
Systematic Sampling | |
Quota Sampling | |
Census |
For Distribution Function F(X),F(-∞)=0 And F(∞)= ?
1 | |
-1 | |
Non Of These | |
0 |
For Discrete Random ‘X’, The Expectation Of X I., E(X) Is Equal To:--------?
One | |
∑P(X) | |
∑X.P(X) | |
∑X2p(X) |
For A Symmetrical Distribution Approximately 68% Of The Cases Are Included Between ---------?
X¯¯¯¯−2s And X¯¯¯¯+2s | |
X¯¯¯¯−S And X¯¯¯¯+S | |
X¯¯¯¯−3s And X¯¯¯¯+3s | |
None Of These |
For A Random Variable X, E(X) Is--------?
Geometric Mean (Gm) | |
Non | |
Harmonic Mean | |
Arithmetic Mean (Am) |
For A Probability Density Function (Pdf), The Probability Of A Single Point Is-------?
Constant | |
1 | |
2 | |
0 |
For A Population With Any Distribution, The Form Of The Sampling Distribution Of The Sample Mean Is-------?
Sometimes Normal For All Sample Sizes | |
Sometimes Normal For Large Sample Sizes | |
Always Normal For All Sample Sizes | |
Always Normal For Large Sample Sizes |
For A Population Consisting Of 4 Members, A Sample Of Size ‘2’ Is Taken Replacement, Then The Number Of All The Possible Samples Are?
32 | |
8 | |
16 | |
4 |
For A Normal Distribution Having µ = 241 And Σ = 2 P (X≥235) Is:----?
0.475 | |
0.9986 | |
0.235 | |
0.5 |
For A Given Class 30-44 The Midpoint Will Be --------?
30 | |
35 | |
34 | |
37 |
For A Certain Distribution If ∑(X−2)=18,∑(X−24)=0,∑(X−28)=−24) Then Arithmetic Mean Is--------?
24 | |
0 | |
21 | |
28 |
For A Binomial Distribution?
P Must Be A Multiple Of 10 | |
There Must Be At Least 3 Possible Outcomes | |
N Must Assume A Number Between 1 And 20 Or 25 | |
None Of These |
For A Binomial Distribution With N = 15 As P Changes From. 50 Toward. 05 The Distribution Will-----?
Become More Positively Skewed | |
All Of The Above. | |
Become Symmetrical | |
Become More Negatively Skewed |
For A Biased Estimator Θˆ Of Θ, Which One Is Correct--------?
Mse(Θˆ)=Var(Θˆ)+Bias | |
Mse(Θˆ)=Var(Θˆ)+Bias2 | |
Mse(Θˆ)=Sd(Θˆ)+Bias2 | |
Mse(Θˆ)=Sd(Θˆ)+Bias |
For +Ve And -Ve Skewed, Check The Sign Of ----?
Β2 | |
µ3 | |
Β1 | |
µ2 |
Fisher’S Ideal Index Number Is Also Obtained By --------?
Taking A.M. Of Laspeyre’S And Paasche’S Index | |
Both (A) And (B) | |
Taking G.M. Of Laspeyre’S And Paasche’S Index | |
None Of These |
First Movement About Mean Is Always Equal To ------?
S. | |
1 | |
None Of These | |
Zero |
First Moment About Origin Is Always Equal To --------?
Zero | |
None Of These | |
Variance | |
A.M. |