Answer:
a
Step-by-step explanation:
all you do is divied the top then you take from
Answer:
Variance = 4.68
Step-by-step explanation:
The formula for the variance is:

Where:

The mean can be calculated as each value multiplied by its probability


Replacing the mean and the summatory of X:

Answer:
6.3
Step-by-step explanation:
8.5 - (-4.8)
Let's focus on - (-4.8)
if a negative number is subtracted, it reverses itself
In other words, if a negative number is being subtracted, it is the same as being added as a positive number
So we change the equation to
8.5 + 4.8 = 13.3
Now we subtract 7 from 13.3
Since positive 7 is being subtracted, the rule for -4.8 does not apply to it
13.3 - 7 = 6.3
$38.05 or more because you need a minimum of $38.10
The answer would be 53,562. You would multiply 47400 by 1.13 to get your answer. Hope this helps!