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Choose the correct alternative:
The complementary function of (D2 + 4) y = e2x is
Concept: undefined >> undefined
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The particular intergral of the differential equation `("d"^2y)/("d"x^2) - 8 ("d"y)/("d"x) + 16y = 2"e"^(4x)`
Concept: undefined >> undefined
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The integrating factor of `x ("d"y)/("d"x) - y = x^2` is
Concept: undefined >> undefined
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The particular integral of the differential equation f(D) y = eax where f(D) = (D – a)2
Concept: undefined >> undefined
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The complementary function of `("d"^2y)/("d"x^2) - ("d"y)/("d"x) = 0` is
Concept: undefined >> undefined
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The P.I of (3D2 + D – 14)y = 13e2x is
Concept: undefined >> undefined
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The general solution of the differential equation `("d"y)/("d"x) = cos x` is
Concept: undefined >> undefined
Suppose that Qd = `30 - 5"P" + 2 "dP"/"dt" + ("d"^2"P")/("dt"^2)` and Qs = 6 + 3P. Find the equilibrium price for market clearance
Concept: undefined >> undefined
What is null hypothesis? Give an example
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Define alternative hypothesis
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Define critical region
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Define critical value
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Define the level of significance
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What is a type I error?
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What is single tailed test
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A sample of 100 items, draw from a universe with mean value 4 and S.D 3, has a mean value 63.5. Is the difference in the mean significant at 0.05 level of significance?
Concept: undefined >> undefined
A sample of 400 individuals is found to have a mean height of 67.47 inches. Can it be reasonably regarded as a sample from a large population with a mean height of 67.39 inches and standard deviation of 1.30 inches?
Concept: undefined >> undefined
The average score on a nationally administered aptitude test was 76 and the corresponding standard deviation was 8. In order to evaluate a state’s education system, the scores of 100 of the state’s students were randomly selected. These students had an average score of 72. Test at a significance level of 0.05 if there is a significant difference between the state scores and the national scores
Concept: undefined >> undefined
The mean breaking strength of cables supplied by a manufacturer is 1,800 with a standard deviation of 100. By a new technique in the manufacturing process it is claimed that the breaking strength of the cables has increased. In order to test this claim a sample of 50 cables is tested. It is found that the mean breaking strength is 1,850. Can you support the claim at 0.01 level of significance?
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Errors in sampling are of
Concept: undefined >> undefined
