Here again is the histogram showing the distribution of 50 ages at death due to trauma (accidents and homicides) that were observed in a certain hospital during a week. 18 16 14 12 10 10 20 30 40 50...


Here again is the histogram showing the distribution of 50 ages at death due to trauma (accidents<br>and homicides) that were observed in a certain hospital during a week.<br>18<br>16<br>14<br>12<br>10<br>10<br>20<br>30<br>40<br>50<br>60<br>70<br>80<br>90<br>Age<br>Assume that the largest observation in this dataset is 90. If this observation were wrongly recorded<br>as 900, then:<br>Both the mean and the median will not change.<br>O Both the mean and the median will change.<br>O The mean will stay the same, but the median will change.<br>O The mean will decrease, but the median won't change.<br>O The mean will increase, but the median won't change.<br>2.<br>Kouanbauy<br>

Extracted text: Here again is the histogram showing the distribution of 50 ages at death due to trauma (accidents and homicides) that were observed in a certain hospital during a week. 18 16 14 12 10 10 20 30 40 50 60 70 80 90 Age Assume that the largest observation in this dataset is 90. If this observation were wrongly recorded as 900, then: Both the mean and the median will not change. O Both the mean and the median will change. O The mean will stay the same, but the median will change. O The mean will decrease, but the median won't change. O The mean will increase, but the median won't change. 2. Kouanbauy

Jun 07, 2022
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