Correct option is B
Given:
Area to the right of
Area to the left of
Formula Used:
Area to the left of
Solution:
Area to the left of
Area to the left of
Since 0.4<0.7, we have
The correct answer is (b)
For a normal distribution, the area to the right hand side of the point is 0.6 and to left hand side of the point is 0.7, then we have
Given:
Area to the right of
Area to the left of
Formula Used:
Area to the left of
Solution:
Area to the left of
Area to the left of
Since 0.4<0.7, we have
The correct answer is (b)
The stratified sampling is usually preferred when the nature of population is
If denote the reliability of the component; then the reliability of parallel system is given by
A queuing system M/G/1 has
If n components, functioning independently, are connected in series, and if the component has reliability , then the reliability of the entire system R(t) is given by
If , then AX follows, where A is a matrix of rank q
For the validity of F-test in the analysis of variance, the following assumption is/are made:
The likelihood ratio test is used for testing [1] null hypothesis against [2] alternative hypothesis. Here
Let be an estimator, based on a sample , of the parameter . Then is a consistent estimator of
For a normal distribution, the area to the right hand side of the point is 0.6 and to left hand side of the point is 0.7, then we have
A sequence is said to be a Markov Chain if for all and n
Suggested Test Series
Suggested Test Series
The stratified sampling is usually preferred when the nature of population is
If denote the reliability of the component; then the reliability of parallel system is given by
A queuing system M/G/1 has
If n components, functioning independently, are connected in series, and if the component has reliability , then the reliability of the entire system R(t) is given by
If , then AX follows, where A is a matrix of rank q
For the validity of F-test in the analysis of variance, the following assumption is/are made:
The likelihood ratio test is used for testing [1] null hypothesis against [2] alternative hypothesis. Here
Let be an estimator, based on a sample , of the parameter . Then is a consistent estimator of
For a normal distribution, the area to the right hand side of the point is 0.6 and to left hand side of the point is 0.7, then we have
A sequence is said to be a Markov Chain if for all and n