Dse 2012 q.39

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Dse 2012 q.39

vandita24x7

Q.39


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Re: Dse 2012 q.39

Sris
Just use the definition/meaning of type1 and type2 errors.
Type1 error is rejecting the Null given that its true.
It means while finding type1 error, you need to take Null to be true and then, use the test procedure of rejecting null (which is in this case x<k).
So, we've : Type1 error = Integral (2x)dx from 0 to k . And its given Type1 error = 0.09
⇒ Integral (2x) from 0 to k = 0.09
⇒ k =0.3

Now,Type2 error is accepting the null given that alternate hypothesis is true.
So, take Alternate hypothesis to be true and then, use the test procedue of accepting the null (which is x>k).
So, we've: Type2 error = Integral (2-2x)dx from 0.3 to 1
                                = 0.49

courtesy: DUCK
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Re: Dse 2012 q.39

Sris
In reply to this post by vandita24x7
HEY VANDITA I HAVE ALSO POSTED SOME QUERIES IN  THE TOPIC " DSE 2008 Q 48 AND 49" ...PLZ IF U KNOW ANY OF THEM PLZ REPLY...
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Re: Dse 2012 q.39

vandita24x7

Dse 2008 q.48 see picture. Likewise you can solve q.49.

On 14 Jun 2015 19:36, "Sris [via Discussion forum]" <[hidden email]> wrote:
HEY VANDITA I HAVE ALSO POSTED SOME QUERIES IN  THE TOPIC " DSE 2008 Q 48 AND 49" ...PLZ IF U KNOW ANY OF THEM PLZ REPLY...


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Re: Dse 2012 q.39

Sris
thank u vandita...
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Re: Dse 2012 q.39

shar311
@sris

can you help me with q32 of 2012 series 1?

An analyst trying to estimate the demand for rice has estimated the following two models
Model 1: D = 50+0.3Y +0.1P +12N; R2 = 0.7.
Where D is the demand for rice per household, Y is income per household, P is the price of rice and N is household size. The standard errors associated with the coefficient Y is 0.1, that associated with P is 0.05, and of N is 3.
Model2:D/N=50+0.2Y/N−0.5P; R2=0.9
where the standard errors of the estimated slope coefficients are 0.1 and 0.2 respectively. Which of the following statements is true?

(a) Model 2 is preferred to Model 1 because it has a higher R2.
(b) Model 1 is preferred to Model 2 because the coefficients are all signif- icant
(c) The two models are not comparable in terms of fit
(d) None of the above
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Re: Dse 2012 q.39

Sris
Its c...since d dependent variable is not of the same form...v cant say which model is better in terms of R square...

Read gujarati ....functional forms chapter