To measure the seasonal variation, we compute seasonal indexes, which gauge the degree to which the seasons differ from one another.
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Q. 2A required condition for using the normal approximation to the binomial in testing the difference between two population proportions is that n1p1 30 and n2p2 30.
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Q. 3The results of a quadratic model fit to time series data were = 8.5 - 0.25t + 2.5t2, where t = 1 for 1998 . The forecasted value for 2005 is 129.25.
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Q. 4The pooled proportion estimate is found by taking the proportion of successes from sample 1 plus the proportion of successes from sample 2.
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Q. 5Seasonal variations will not be present in a deseasonalized time series.
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Q. 6In constructing a confidence interval estimate for the difference between two population proportions, we pool the population proportions when the populations are normally distributed.
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Q. 7If summer 2011 sales were 16,800 and the summer seasonal index was 1.20, then the deseasonalized 2011 summer sales value was 20,160.
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Q. 8The pooled proportion estimate is used when the null hypothesis states that the two population proportions differ by some non-zero number.
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