................................................................
Answer is A
<span>100000 + 2000 + 500 + 150 + 17 +0.08
= 102000 + 500 + 150 + 17 + 0.08
= 102500 + 150 + 17 + 0.08
= 102650 + 17 + 0.08
= 102667 + 0.08
= 102667.08 <--</span>
Answer:
A reality check quickly reveals that even if "eats" were spelled properly, the statement would still be nonsense.
Step-by-step explanation:
(40,000 pounds / 80 years) = (4,000 pounds / 8 years) = 500 pounds per year
500 pounds of bread per year = an average of a little more than 1-1/3 pound of bread per day, every day of a person's life. My reality meter says that this is a bit much, especially in the USA.
The measures of spread include the range, quartiles and the interquartile range, variance and standard deviation. Let's consider each one by one.
<u>Interquartile Range: </u>
Given the Data -> First Quartile = 2, Third Quartile = 5
Interquartile Range = 5 - 2 = 3
<u>Range:</u> 8 - 1 = 7
<u>Variance: </u>
We start by determining the mean,

n = number of numbers in the set
Solving for the sum of squares is a long process, so I will skip over that portion and go right into solving for the variance.

5.3
<u>Standard Deviation</u>
We take the square root of the variance,

2.3
If you are not familiar with variance and standard deviation, just leave it.