Answer:
The limit that 97.5% of the data points will be above is $912.
Step-by-step explanation:
Problems of normally distributed samples can be 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 problem, we have that:
Find the limit that 97.5% of the data points will be above.
This is the value of X when Z has a pvalue of 1-0.975 = 0.025. So it is X when Z = -1.96.
So
The limit that 97.5% of the data points will be above is $912.
Answer:
the answer is D your welcome
Answer:
3>y-2
Step-by-step explanation:
your welcome i think
The first step for solving this expression is to distribute -2 through the first parenthesis.
x - 2xy + 2y + 4xy - x × (3 + y)
Distribute -x through the second set of the parenthesis.
x - 2xy + 2y + 4xy - 3x - xy
Now collect together the like terms with a single x as a variable.
-2x - 2xy + 2y + 4xy - xy
Lastly,, collect the like term with an xy variable to find your final answer.
-2x + xy + 2y
Let me know if you have any further questions.
:)