MCQOPTIONS
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MCQOPTIONS
This section includes 9 Mcqs, each offering curated multiple-choice questions to sharpen your Statistical Quality Control knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
The rule of multiplication of probability is possible only _____________ |
| A. | When events are independent |
| B. | When events are mutually exclusive |
| C. | When events are Bayesian |
| D. | When events are Empirical |
| Answer» B. When events are mutually exclusive | |
| 2. |
The cumulative distribution function for the lognormal distribution is given by _____ |
| A. | ( phi[ frac{ln u2061(a)- theta}{ omega}] ) |
| B. | ( phi[ frac{ln u2061(a)- theta}{a}] ) |
| C. | ( phi[ frac{ln u2061(a)- omega}{ omega}] ) |
| D. | ( phi[ frac{ln u2061(a)- theta}{ theta}] ) |
| Answer» B. ( phi[ frac{ln u2061(a)- theta}{a}] ) | |
| 3. |
The exponential distribution is given by _____ |
| A. | f(x)=xe<sup> </sup> |
| B. | f(x)= e<sup>- x</sup> |
| C. | f(x)= e<sup>- x</sup> |
| D. | f(x)=e<sup>w</sup> |
| Answer» D. f(x)=e<sup>w</sup> | |
| 4. |
For a lognormal random variable, what is the value of mean? |
| A. | ( =e^{ theta+ frac{w^2}{2}} ) |
| B. | ( =e^{ frac{w^2+ theta}{2}} ) |
| C. | ( =e^{w+ frac{ theta^2}{2}} ) |
| D. | ( =e^{ theta+w^2} ) |
| Answer» B. ( =e^{ frac{w^2+ theta}{2}} ) | |
| 5. |
If a variable x is having its value equal to the exponential function of another variable w, i.e. x=exp (w) , and w has normal distribution; the distribution of x is called _______ |
| A. | Normal distribution |
| B. | Exponential distribution |
| C. | Lognormal distribution |
| D. | Gamma distribution |
| Answer» D. Gamma distribution | |
| 6. |
The central limit theorem is true for _______ distribution. |
| A. | Normal distribution |
| B. | Lognormal distribution |
| C. | Exponential distribution |
| D. | Gamma distribution |
| Answer» B. Lognormal distribution | |
| 7. |
Which of these is true for the normal distributions? |
| A. | ( _y = a_1 _1 + a_2 _2 + + a_n _n ) |
| B. | ( _y = a_1 _1^2 + a_2 _2^2 + + a_n _n^2 ) |
| C. | ( _y^2 = a_1^2 _1^2 + a_2^2 _2^2 + + a_n^2 _n^2 ) |
| D. | ( _y^2 = a_1^2 _1^2 + a_2^2 _2^2 + + a_n^2 _n^2 ) |
| Answer» B. ( _y = a_1 _1^2 + a_2 _2^2 + + a_n _n^2 ) | |
| 8. |
( ) is said to be cumulative distribution function of _________ |
| A. | Standard binomial distribution |
| B. | Standard normal distribution |
| C. | Standard exponential distribution |
| D. | Standard gamma distribution |
| Answer» C. Standard exponential distribution | |
| 9. |
Which of these equations describe the normal continuous distribution? |
| A. | (f(x)= frac{1}{ sigma sqrt{2 }} e^{-0.5( frac{x- }{ })^2}, - infty < x < - infty ) |
| B. | (f(x)= frac{1}{ sqrt{2 }} e^{-0.5( frac{x- }{ })^2}, - infty < x < - infty ) |
| C. | (f(x)= frac{1}{ sigma sqrt{ }} e^{-0.5( frac{x- }{ })^x}, - infty < x < - infty ) |
| D. | (f(x)= frac{1}{ sigma sqrt{2 }} e^{-0.5( frac{x- }{ })^x}, - infty < x < - infty ) |
| Answer» B. (f(x)= frac{1}{ sqrt{2 }} e^{-0.5( frac{x- }{ })^2}, - infty < x < - infty ) | |