Let X be the national sat score. X follows normal distribution with mean μ =1028, standard deviation σ = 92
The 90th percentile score is nothing but the x value for which area below x is 90%.
To find 90th percentile we will find find z score such that probability below z is 0.9
P(Z <z) = 0.9
Using excel function to find z score corresponding to probability 0.9 is
z = NORM.S.INV(0.9) = 1.28
z =1.28
Now convert z score into x value using the formula
x = z *σ + μ
x = 1.28 * 92 + 1028
x = 1145.76
The 90th percentile score value is 1145.76
The probability that randomly selected score exceeds 1200 is
P(X > 1200)
Z score corresponding to x=1200 is
z =
z =
z = 1.8695 ~ 1.87
P(Z > 1.87 ) = 1 - P(Z < 1.87)
Using z-score table to find probability z < 1.87
P(Z < 1.87) = 0.9693
P(Z > 1.87) = 1 - 0.9693
P(Z > 1.87) = 0.0307
The probability that a randomly selected score exceeds 1200 is 0.0307
Y=300+40g
Y=5000
5000=300+40g
-300
4700=40g/40
117.5=g
About 117 people without going over budget.
Answer:
25
Step-by-step explanation:
we have to subtract SPQ from SRQ=SQR
mark me as brainliest
33/12 = 2.75 per can
2.75 * 7 = 19.25......so its 19.25 for 7 cans
Answer:
The marked price of the watch is $2,702.27.
Step-by-step explanation:
Since allowing 20% discount on the marked price of a watch, the value of the watch will be Rs. 2378, to determine, if the VAT of 10% is added, it's marked price, the following calculation must be performed:
1 - 0.2 = 0.8
0.8 x 1.1 = 2378
0.88 = 2378
0.88 = 2378
0.8 = X
0.8 x 2378 / 0.88 = X
1,902.4 / 0.88 = X
2,161.81 = X
0.8 = 2,161.81
1 = X
2,161.81 / 0.8 = X
2,702.27 = X
Therefore, the marked price of the watch is 2,702.27.