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Normally distributed data are normally referred to as
Seasonal Indexes
Quantitative measures that represent how a seasonal pattern affects the data over a specific period, often used in time series analysis to adjust predictions for seasonal effects.
Time Series
A continuous chain of data points, often resulting from measurements taken one after another within a certain timeframe.
Forecasting Models
Quantitative and qualitative techniques used to predict future events or data points based on historical trends and patterns.
Mean Absolute Deviation
A measure of dispersion in a dataset, calculated as the average distance between each data point and the mean of the data.
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