The following boxplot summarizes the heights of a sample of 100 trees growing on a tree farm. The figure presents a graph of a boxplot over a number line titled Tree Height, in inches. The numbers 28 through 44, in increments of 2, are indicated. The data represented by the boxplot is as follows. Note that all values are approximate. The left whisker extends from 33 through 34. The box extends from 34 through 38, and a vertical line segment at 36 breaks the box into 2 parts. The right whisker extends from 38 through 43.
Emily claims that a tree height of 43 inches is an outlier for the distribution. Based on the 1.5×IQR rule for outliers, is there evidence to support the claim?

x is greater than 5

step-by-step explanation:

2x+7 is greater than 17

    -7                           -7

2x is greater than 10

divide by 2 each side

x is greater than 5

required rate of return = 0.166 = 16.6%

step-by-step explanation:

under the capital asset pricing model (capm), the required or expected rate of return for a particular security or asset is given using the formula:

required rate of return = risk-free rate + beta*(market risk premium)

we are given that;

risk-free rate = 4% = 0.04

beta = 1.4

market risk premium = 9% = 0.09

we simply plug these values into the above formula;

required rate of return = 0.04 + 1.4*(0.09)

required rate of return = 0.04 + 0.126

required rate of return = 0.166 = 16.6%

there is no graph so i cant sorry

step-by-step explanation: