Instruction 11-9
a Campus Researcher Wanted to Investigate the Factors

question 101

Multiple Choice

Instruction 11-9
A campus researcher wanted to investigate the factors that affect visitor travel time in a complex, multilevel building on campus. Specifically, he wanted to determine whether different building signs (building maps versus wall signage) affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building. Three subjects were assigned to each of the combinations of signs and starting locations, and travel time in seconds from beginning to destination was recorded. An Excel output of the appropriate analysis is given below:
$$\begin{array} { | l | l | l | l | l | l | l | } \hline \text { ANONA } & & & & & & \\\hline \begin{array} { l } \text { Source of } \\\text { Vartation }\end{array} & { SS } & d f & \text { MS } & F & \rho { \text {-value } } & \text { F crit } \\\hline \text { Signs } & 14008.33 & & 14008.33 & & 0.11267 & 5.317645 \\\hline \begin{array} { l } \text { Starting } \\\text { Location }\end{array} & 12288 & & & 2.784395 & 0.13374 & 5.317645 \\\hline\end{array}$$
-Referring to Instruction 11-9,the degrees of freedom for the different building signs (factor is

• A) 2.
• B) 8.
• C) 1.
• D) 3.

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Definitions:

Seasonal Factor

A quantitative adjustment factor applied to economic or statistical data to account for seasonal variations of the data point.

Exponential Smoothing

A forecasting technique that applies decreasing weights to past observations as they recede in time.

Exponential Smoothing Model

A time series forecasting technique that applies weighting factors which decrease exponentially to past observations.

Mean Absolute Percentage Error

A measure used in statistics to assess the accuracy of a forecast or prediction, calculated as the average of absolute percentages of errors between predicted and observed values.