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.
Let the year represents x axis and consumption represents y axis.
Since 2010 is the initial year, x=0
and 2013 is third year , so x=3
Co-ordinates are (0,8.938)(3,10.480)
Exponential formula is 
Putting the value of x in the above formula from 1st coordinate,

As
= 1
this gives a= 8.938
Now using the 2nd coordinate

putting the value of a in it we have

taking cube roots on both sides we get
b= 1.05448
Now putting the values of a and b in the exponential formula-

In the year 2028, x=28
so,

y= 39.474
Hence oil consumption per day in 2028 will be 39.474 million barrels.
4 shirts can be worn with one pair of pants twice and the shoes can be paired with each outfit. So I am going to say 8 outfits.
Answer:
g^3 - 7
Step-by-step explanation:
write
(2g^2+3g-8)-(5g+1)
(5g^3-8)-(5g+1)
and then you get g^3 - 7
sorry if it is not write but it should be