The answer is D.
You multiply 1,250,000 by 1.50= 1,875,000
Then add 1,875,000 to 1,250,000= 3,125,000
Divide by 1,000,000 and you get 3.125
Its 12,400
happy to help :)
Answer:
$36.8
Step-by-step explanation:
i just calculated it!
32*15% = 4.8
32+4.8= 36.8
Answer:
Step-by-step explanation:
2x - x ,
3- x , 12 = G (x+9, 7)
-3
x , 12. = G (x 9
-3 = 6
x,12 = G (x+6 , 7)
-6. -6
x , 6 = x, 7
F(6) G(7) - i believe
Answer:
10.03% probability of getting a cup weighing more than 8.64oz
Step-by-step explanation:
Problems of normally distributed samples are 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.
In this question, we have that:

What is the probability of getting a cup weighing more than 8.64oz
This is the 1 subtracted by the pvalue of Z when X = 8.64. So

has a pvalue of 0.8997
1 - 0.8997 = 0.1003
10.03% probability of getting a cup weighing more than 8.64oz