Answer:
The first error she made in computing the variance was to have placed -1,024 instead of +1,024
Step-by-step explanation:
we have the data set
87, 46, 90, 78, and 89
step 1
Find the mean
[tex](87+46+90+78+89)/5[/tex]
[tex]390/5=78[/tex]
step 2
Subtract the Mean for each value of data set and square the result and then adds the numbers
[tex](87-78)^{2}+(46-78)^{2}+(90-78)^{2}+(78-78)^{2}+(89-78)^{2}[/tex]
[tex](9)^{2}+(-32)^{2}+(12)^{2}+(0)^{2}+(11)^{2}[/tex]
[tex]81+1,024+144+0+121[/tex]
so
The first error she made in computing the variance was to have placed -1,024 instead of +1,024
[tex]1,370[/tex]
step 3
Work out the mean of those squared differences
[tex]1,370/5=274[/tex] ----> this value is called the "Variance"