Answer:
they are ways you can solve for answers like 4 x 4 = 16
Step-by-step explanation:
Answer:
False.
Step-by-step explanation:
The answer is NOT 6 1/2 loaves it is 6 loaves.
Knowing that there Max has 5 1/4 cups of raisins and each loaf requires 7/8 cup of raisins, we would need to divide.
Let's turn the 5 1/4 into an improper fraction so when we divide the two fractions, it would be easier!
<u>To turn 5 1/4 into an improper fraction we need to...</u>
5 x 4 = 20
20 + 1
21/4
Now we divided 21/4 by 7/8.
When dividing fractions remember the rule: KEEP CHANGE FLIP!
We keep the first fraction...which is 21/4 in this case
Change the sign from division to multiplication
21/4 x 7/8
And flip 7/8 so it becomes 8/7
21/4 x 8/7
= 168/28
= 6 loaves
So, the answer is not 6 1/2 loaves (false!)
Answer:
0.9772 = 97.72% probability that a randomly selected firm will earn more than Arc did last year
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
Suppose the mean income of firms in the same industry as Arc for a year is 90 million dollars with a standard deviation of 7 million dollars.
This means that 
What is the probability that a randomly selected firm will earn more than Arc did last year?
Arc earned 76 million, so this is 1 subtracted by the pvalue of Z when X = 76.



has a pvalue of 0.0228
1 - 0.0228 = 0.9772
0.9772 = 97.72% probability that a randomly selected firm will earn more than Arc did last year
Y = 4/3x
this is a linear function
the slope is 4/3
the y int is the origin (0,0)