Two different methods of forecasting monthly electrical consumption were compare

Question

Two different methods of forecasting monthly electrical consumption were compared. The two methods were Artificial Neural Network (ANN) and Time Series Regression (TSR). Forecasts were made using each of four months. These forecasts were also compared to the actual monthly consumption values. The researchers want to compare the mean electrical consumption values of the ANN forecast, TSR forecast, and Actual Consumption. The experimental design employed in the study is a Randomized Block Design in which the number of blocks is equal to ______ and the number of treatments is equal to______ . With a p-value < 0.01 for the treatment, we can say we are ______ percent confident that there is at least one inequality in the treatment means. Round at the nearest integer.

Explanation / Answer

let's compare three different methods.

four months have been used

alpha = 0.01

confidence level = 100(1-alpha)

so,

These forecasts were also compared to the actual monthly consumption values. The researchers want to compare the mean electrical consumption values of the ANN forecast, TSR forecast, and Actual Consumption .The experimental design employed in the study is a Randomized Block Design in which the number of blocks is equal to __4____ and the number of treatments is equal to ___3_____ . With a p-value < 0.01 for the treatment, we can say we are ___99___ percent confident that there is at least one inequality in the treatment means.

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