Question

which data value would cause the interpretation of the data set to be overstated? (1, 10) (1, 60) (9, 85) (10, 80)

Explanation:

Step1: Understand the concept of over - stated data

An over - stated data value is an outlier that is much higher than the general trend of the data.

Step2: Analyze each option

• For \((1,10)\): It is a low value.
• For \((1,60)\): When \(x = 1\) (number of hours), most of the other points for small \(x\) values (e.g., \(x=2\) has values around \(10 - 20\), \(x = 3\) has values around \(20 - 30\)) are much lower. This point \((1,60)\) is an outlier on the high - side for small \(x\) values.
• For \((9,85)\) and \((10,80)\): As \(x\) (number of hours) increases, the number of tickets sold also increases in a somewhat consistent pattern (e.g., \(x = 7\) has \(70\), \(x=8\) has \(85\), \(x = 9\) has \(80\)). These points follow the general upward trend of the data.

Answer:

\((1,60)\)