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Using exponential smoothing,if we want forecasts to be very responsive to recent demand,the value of alpha should be
Type II Error
The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a false negative result.
Type I Error
Mistakenly refusing a true null hypothesis, popularly known as a "false positive."
Nominal Data
Data that are categorized into distinct groups without implying any ranked order among them.
Confidence Level
The probability, expressed as a percentage, that the result of an experiment or study will fall within a specified range of values.
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