Sat scores were originally scaled so that the scores for each section were approximately normally distributed with a mean of 500 and a standard deviation of 100. use the empirical rule to estimate the probability that a randomly selected student gets with a section score of 700 or better.
a. 2.5%
b. 95%
c. 5%
d. 97.5%

  a.  2.5%

Step-by-step explanation:

The Z-score of the given test score is ...

  Z = (X -μ)/σ = (700 -500)/100 = 2

The empirical rule tells you 95% of a normal distribution is within 2σ of the mean. The other 5% is split evenly between the two tails of the distribution, so the probability of a score 2σ or more above the mean is about 1/2×5% = 2.5%.

18

step-by-step explanation:

draw the shape and you will see that f and k are actually at adjacent vertices (points of the hexagon that are neighboring).   so find the distance between (1,2) and (4,2).   that is easy since (1,2) and (4,2) is just a vertical distance to count, which is 3.   it is a regular polygon which means all sides are congruent.   you have 6 sides (hexa) so multiply 6 by 3 to receive 18.

susie has 7 apples