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For a fixed sample size, the lower we set a, the higher is the O Type I error O Type Il error random error pvalue
Suppose that the unadjusted seasonal factor for the month of April is 1.10. The sum of the 12 months unadjusted seasonal fac
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Answer #1

1.  The answer to the question no. 1 is (c.)

Because as per null hypothesis, there are generally two types of errors :

  • Type I error
  • Type II error

If in any case one error is less, then the other will be more. It means if the type I error is less, then the Type II error will be more. In the given case, it is not provided whether which error is lower, so we are taking the random error. If it was provided that the type I error is lower, then we will consider the Type II error High or vice versa.

2. The answer to question is (b.)

the normal seasonal factor of 1 month is= 12.18/12 months= 1.05

As the normal seasonal factor of april is 1.05 which is far less than the 1.1 , we are considering the part (b.)

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