~Question # 1 of 10 ( Start time: 07:28:04 PM )
Total Marks: 1
We use the Poisson approximation to the binomial when:
Select correct option:
p is 0.01 or less & n is 10
p is 0.05 or less & n is 50
p is 0.04 or less & n is 15
p is 0.02 or less & n is 10
We use the Poisson approximation to the binomial when:
Select correct option:
p is 0.01 or less & n is 10
p is 0.05 or less & n is 50
p is 0.04 or less & n is 15
p is 0.02 or less & n is 10
~Question # 2 of 10 ( Start time: 07:29:12 PM )
Total Marks: 1
In a Geometric distribution, Maximum Likelihood Estimator (MLE) for proportion (P) is equal to:
Select correct option:
Sample mean
Reciprocal of the mean
Sample variance
Reciprocal of the sample variance
In a Geometric distribution, Maximum Likelihood Estimator (MLE) for proportion (P) is equal to:
Select correct option:
Sample mean
Reciprocal of the mean
Sample variance
Reciprocal of the sample variance
~Question # 3 of 10 ( Start time: 07:29:39 PM )
Total Marks: 1
If b(x; 15, 0.75), the mean of this distribution is:
Select correct option:
11.50
11.15
11.20
11.25
If b(x; 15, 0.75), the mean of this distribution is:
Select correct option:
11.50
11.15
11.20
11.25
~Question # 4 of 10 ( Start time: 07:31:02 PM )
Total Marks: 1
Under which of the following circumstances is it impossible to construct a confidence interval for the population mean?
Select correct option:
A normal population with a large sample and a known population variance
A non-normal population with a large sample and an unknown population variance
A normal population with a large sample and a known population variance
A non-normal population with a small sample and an unknown population variance
Under which of the following circumstances is it impossible to construct a confidence interval for the population mean?
Select correct option:
A normal population with a large sample and a known population variance
A non-normal population with a large sample and an unknown population variance
A normal population with a large sample and a known population variance
A non-normal population with a small sample and an unknown population variance
~Question # 5 of 10 ( Start time: 07:32:27 PM )
Total Marks: 1
In completely randomized design (CRD) treatments are assigned to experimental units completely at random, i.e. randomization is done without any?
Select correct option:
Objection
Restriction
Obligation
All above mentioned
In completely randomized design (CRD) treatments are assigned to experimental units completely at random, i.e. randomization is done without any?
Select correct option:
Objection
Restriction
Obligation
All above mentioned
~Question # 6 of 10 ( Start time: 07:33:42 PM )
Total Marks: 1
If the random variable “X” follows F-distribution with v1 and v2 degrees of freedom, then reciprocal of “X” i.e. “1/X” also follows F-distribution with respective degrees of freedom
Select correct option:
v1
v2
V1 and v2
V2 and v1
If the random variable “X” follows F-distribution with v1 and v2 degrees of freedom, then reciprocal of “X” i.e. “1/X” also follows F-distribution with respective degrees of freedom
Select correct option:
v1
v2
V1 and v2
V2 and v1
~Question # 7 of 10 ( Start time: 07:35:02 PM )
Total Marks: 1
The precision of an estimator can be increased by decreasing the;
Select correct option:
Level of significance
Number of parameters
Number of estimators
Size of sample
The precision of an estimator can be increased by decreasing the;
Select correct option:
Level of significance
Number of parameters
Number of estimators
Size of sample
~Question # 8 of 10 ( Start time: 07:36:28 PM )
Total Marks: 1
T-distribtion is applicable in case of
Select correct option:
Independent samples
Dependent samples
Both independent and dependent samples
Non-Normal populations
T-distribtion is applicable in case of
Select correct option:
Independent samples
Dependent samples
Both independent and dependent samples
Non-Normal populations
~Question # 9 of 10 ( Start time: 07:37:49 PM )
Total Marks: 1
A consistent estimator will always be a:
Select correct option:
Unbiased estimator
Biased estimator
Unbiased estimator and biased estimator
May or may not be unbiased estimator
A consistent estimator will always be a:
Select correct option:
Unbiased estimator
Biased estimator
Unbiased estimator and biased estimator
May or may not be unbiased estimator
~Question # 10 of 10 ( Start time: 07:39:15 PM )
Total Marks: 1
Which of the following is desirable for a good point estimator?
Select correct option:
Consistency
Unbiasedness
Efficiency
All of these
Which of the following is desirable for a good point estimator?
Select correct option:
Consistency
Unbiasedness
Efficiency
All of these
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