Question: Quantitative DataTell me all you know about each distribution. Include the shape, the measurements of center and spread, and any outliers. If there is no

Quantitative DataTell me all you know about each distribution. Include the shape, the measurements of center and spread, and any outliers. If there is no solution, write N/A. You will need to explain how you found your answer, either by writing or using any formula

Quantitative DataTell me all you know about each distribution. Include the shape,

Tell me all you know about each distribution. Include the shape, the measurements of center and spread, and any outliers. If there is no solution, write N/A. You will need to explain how you found your answer, either by writing or using any formulas. stem leaf 1, 1, 2, 2, 3, 4, 4, 4, 4, 5, 8 0, 0, 0, 1, 1, 3, 7, 9 Eight hundred insects were weighed, and the resulting measurements. in milligrams, are 5 , 5 , 7 , 7 , 8 , 8 , 9 , 9 summarized in the boxplot below. 0, 1, 1, 1, 2, 2, 2, 4, 5 0, 4, 8, 9 2, 6, 7, 7, 8 3 , 6 Key: 6/ 3 = 63 years old 100 110 120 130 140 150 Median: Why , Explain : middle Of the data.mal Median : Why , Explain : middle of the data, in Mode: Mode: Why , Explain : most Repealed number of data plot Why , Explain : moot repeated number of abita Mean: Why , Explain : average of the data x= Ex - sum Mean: Why , Explain : Average Of the doAa x= Exist n , total Range: Why , Explain : difference he hosen maximum and no Range: Why , Explain : difference between maximum and minimum QR Why, Explain: As - 2 IQR: Why , Explain : (Q3 - QZ Why , Explain : 5 - Wyn - 1 8 (xi - x )2 Standard Deviation: Why , Explain : 8 = J -LE Cxiny) ? Standard Deviation: Variance: Why, Explain: Variance:_ Why, Explain: observahome that fall below Q1 - 1.5 x IQR observations that tal show Q 1-1 Outliers: Why , Explain : or above Boss Outliers: Why , Explain : Or above Q3 - 1.5 X IOR Shape: Why, Explain: Shape: Why, Explain: What else do you notice about the distribution above? (Please write at least two sentences) What else do you notice about the distribution above? (Please write at least two sentences)

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