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Match the Critical Question with the Information Control Issue It

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Match the critical question with the information control issue it addresses.
 Privacy  Can the infonnation be used for puposes other  than those for which it was initially captured?  Privacy  Can the infonnation provided be used to  identify personal preferences or history even if  the provider doesn’t want it known?  Accuracy  Who is accountable for errors in the  infornation?  Property  Who owns the infornation?  Accessibility  What infornation does an orgarization have the  right to obtain?  Accessibility  Does the person retrieving the infornation  "need to know" the infornation that is being  retrieved? \begin{array} { | l | l | } \hline \text { Privacy } & \begin{array} { l } \text { Can the infonnation be used for puposes other } \\\text { than those for which it was initially captured? }\end{array} \\\hline \text { Privacy } & \begin{array} { l } \text { Can the infonnation provided be used to } \\\text { identify personal preferences or history even if } \\\text { the provider doesn't want it known? }\end{array} \\\hline \text { Accuracy } & \begin{array} { l } \text { Who is accountable for errors in the } \\\text { infornation? }\end{array} \\\hline \text { Property } & \text { Who owns the infornation? } \\\hline \text { Accessibility } & \begin{array} { l } \text { What infornation does an orgarization have the } \\\text { right to obtain? }\end{array} \\\hline \text { Accessibility } & \begin{array} { l } \text { Does the person retrieving the infornation } \\\text { "need to know" the infornation that is being } \\\text { retrieved? }\end{array} \\\hline\end{array}


Definitions:

Deseasonalized Time Series

A time series from which seasonal effects have been removed, allowing for the clearer identification of trends and patterns.

Cyclical Effects

Economic or market changes that occur in predictable cycles, often related to changes in business activity, interest rates, and economic policies.

Weekly Seasonal Indexes

Indicators that measure the variability in data or phenomena on a weekly basis to account for and predict seasonal variations.

Moving Average

A method used to smooth out short-term fluctuations and highlight longer-term trends or cycles in data, by averaging data points over specific periods.

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