Answer:
B. (0.87, 0.48)
Step-by-step explanation:
I calculated it logically
Answer: 
Step-by-step explanation:
Using the same-side interior angles theorem,
.
Using the alternate interior angles theorem, 
First find out how much each bead costs. In this case, it is .24 (48/200=.24) Now you simply multiply .24 by 25, equaling 6. She will have to pay 6 more dollars.
If you use FOIL to multiply these two brackets, it will lead you what is exactly written (xa+xb+ya+yb)
so it is correct
A
Answer:
b) 6.68%
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 z-score 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 p-value, we get the probability that the value of the measure is greater than X.
The mean score on the scale is 50. The distribution has a standard deviation of 10.
This means that 
Matthew scores a 65. What percentage of people could be expected to score the same as Matthew or higher on this scale?
The proportion is 1 subtracted by the p-value of Z when X = 65. So



has a p-value of 0.9332.
1 - 0.9332 = 0.0668
0.0668*100% = 6.68%
So the correct answer is given by option b.