The absolute value returns the "positive version" of a number.
In other words, if the number is positive, it remains positive; if the number is negative, it changes sign.
So, if we want , we want the "positive version" of x to be 9.
This can happen in two ways: if x is already 9, then its absolute value is still nine. If instead x=-9, its positive value will be 9 again.
In formula, we have
because
Answer:
P(y≤4) = 0.629
Step-by-step explanation:
you can see in attachment.
Answer:
No. These measures show a thinner team of NFL players according to the mean, variance, standard deviation, and quartiles.
Step-by-step explanation:
1) The measures of variation, namely The Range, Variance, Quartiles, Interquartiles, Sum of Squares, etc. shows us how the data are dispersed.
The Range Δ is calculated:
Maximum value - Minimum value for weight
Mean:
Variance:
The Standard Deviation of the sample
2) Since there is no preceding exercise, the comparison was made to a recent study in which a NFL player average weight is about 245 pounds (average),
Since 25% of this list are player whose weight is 192.5 lbs and 50% (2nd Quartile) =225 lbs , finally only at the 3rd Quartile we have players above the regular NFL average with 253. This, added with the other data, allow us to say that this list is not a typical of all NFL players.
