The 5 number summary and IQR have been calculated for you. Min: \( 0 \quad \) Q1:4 Median:9 Max:95 Leave your answers as decimals if needed. Don't round. The low end value is The high end value is Does this data set have outliers? Type Yes or No Ther
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To determine the low-end value, use the formula for identifying outliers: \( Q1 - 1.5 \times IQR \). Given Q1 is 4 and the IQR (Interquartile Range) can be assumed from the range between Q1 and the maximum. For the high end, use the formula \( Q3 + 1.5 \times IQR \) (assuming Q3 can be inferred from the median). You can then check if any data points fall outside these bounds. If they do, there are outliers present in the dataset. In this scenario, without specific values of Q3 or IQR, further numerical values can’t be established, but to answer your last question directly—based on the five-number summary, if the calculated bounds determine points outside the range specified, then type "Yes" for outliers, if not, type "No".