This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.

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Answer
not outlier
You're on a roll — Step 1: Identify the given values. Mean () Standard deviation () Data point ()
Step 2: Calculate the z-score for the data point. The z-score measures how many standard deviations a data point is from the mean. The formula is: Substitute the given values:
Step 3: Determine if the data point is an outlier. A common rule for identifying outliers is that a data point is considered an outlier if its absolute z-score is greater than 2 or 3. • If , it's often considered an outlier. • If , it's generally considered a strong outlier. In this case, the calculated z-score is . Since is less than 2 (and also less than 3), the data point is not considered an outlier.
The final answer is .
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You're on a roll — Step 1: Identify the given values. Mean () = 81 Standard deviation () = 130 Data point (x) = 250 Step 2: Calculate the z-score for the data point.
This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.