Verify whether the series is Stationary
As we know, For stationarity,the followingrestrictions are placedon the ____ ____ _______ _______ ________ ______ ___ ________ __________ _________ ___.
__________ _________ ______ ___ ____ _________.
______ _______ ___ __________ _________ _________ _____.
___ _________ _____ ________ ______ _______ ______ _____ _____ __________ ___.
_________ _____ ________.
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A leather bag manufacturing company supplies bags in lots of size 200 to a buyer. A sample of 2 begs is drawn and the corresponding lot is accepted if and only if both begs are nondefective. The company and the buyer decide that AQL = 0.04 and LTDD = 0.10. If there are 15 defective bags in each lot, compute the
(i) Probability of accepting the lot,
(ii) Producer’s risk and consumer’s risk,
(iii) AOQ, if the rejected lots are screened and all defective bags are replaced by nondefectives, and
(iv) Average total inspection.
If the probability density function of a random variable X follows F-distribution is
then degrees of freedom of the distribution will be (2,2).
Solve the following LPP using graphical method:
Maximize Z = 3x1 + 2x2
Subject to the Constraints:
-2x1 + x2 ≤ 1
x1 ≤ 2
x1 + x2 ≤ 3
x1, x2 ≥0
If the coefficient of determination is 0.833, the number of observations and independent variables are 12 and 3, respectively, then Adjusted R2 will be 0.84.
Explain by considering a sample of size n = 2 from a population consisting of five members 2, 3, 6, 8, 11 that SRSWOR gives a better estimator of population mean that SRSWR.
A newspaper publisher, trying to pinpoint his market’s characteristics wondered whether newspaper readership in the community is related to readers’ educational achievement. A survey questioned adults in the area on their level of education and their frequency of readership. The results are shown in the following table:
| Frequency of Readership | Level of Educational Achievement | |||
| Professional or postgraduates | College graduates | High school grad | Did not complete high school | |
| Never | 10 | 17 | 11 | 21 |
| Sometimes | 12 | 23 | 8 | 5 |
| Morning or evening | 35 | 38 | 16 | 7 |
| Both editions | 28 | 19 | 6 | 13 |
What is the probability that it will take him or her more than 10 minutes altogether to wait for the phone and complete his or her call?