The combined SAT scores for the students at a local high school are normally distributed with a mean of 1476 and a standard deviation of 307. The local college includes a minimum score of 985 in its admission requirements. What percentage of students from this school earn scores that fail to satisfy the admission requirement? P(x < 985) = % Enter your answer as a percent accurate to 1 decimal place (do not enter the "%" sign). Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.

P(X < 985) = 5.5%

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 problem, we have that:

What percentage of students from this school earn scores that fail to satisfy the admission requirement? P(x < 985) = %

This is the pvalue of Z when X = 985. So

has a pvalue of 0.055.

So

P(X < 985) = 5.5%

y = 0.77(x)

step-by-step explanation:

the jacket retains this value after 23% cut or retains 77% of original value. plug original 87 jacket price for x and the remaining value should be y.

because linear equations are a lot simpler than quadratics equations, and linear equations formula is a lot easier to memorize. that's why i think they're harder.