Answer:
C
Step-by-step explanation:
so the first one ends at 4.7107
the second- 3.3568
the third- 5.1401
and multiplying the first by 5000 we get- 23,553.5
for the second we get -6,713.6
for the third we get 41,120
adding them all together we get 71,387.1
and so C is the closest
Answer:
Step-by-step explanation:
Since the results for the standardized test are normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = test reults
µ = mean score
σ = standard deviation
From the information given,
µ = 1700 points
σ = 75 points
We want to the probability that a student will score more than 1700 points. This is expressed as
P(x > 1700) = 1 - P(x ≤ 1700)
For x = 1700,
z = (1700 - 1700)/75 = 0/75 = 0
Looking at the normal distribution table, the probability corresponding to the z score is 0.5
P(x > 1700) = 1 - 0.5 = 0.5
I think for this one, B seems the most right :)
Answer:
c option
Step-by-step explanation:
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