To find the Z-score for Arc's income, we use the formula:
\[ z = \frac{X - \mu}{\sigma} \]
where:
Substituting the values, we have:
\[ z = \frac{20 - 15}{7} = \frac{5}{7} \approx 0.7143 \]
Thus, the Z-score for Arc's income is:
\[ \text{Z-score for Arc's income: } 0.7143 \]
Next, we need to find the probability that a randomly selected firm will earn more than Arc did last year. This is given by:
\[ P = \Phi(Z_{end}) - \Phi(Z_{start}) \]
In this case, \(Z_{start} = 0.7143\) and \(Z_{end} = \infty\). Therefore, we can express the probability as:
\[ P = \Phi(\infty) - \Phi(0.7143) \]
Since \(\Phi(\infty) = 1\), we have:
\[ P = 1 - \Phi(0.7143) \approx 1 - 0.7625 = 0.2375 \]
Thus, the probability that a randomly selected firm will earn more than Arc did last year is:
\[ \text{Probability: } 0.2375 \]
The probability that a randomly selected firm will earn more than Arc did last year is:
\[ \boxed{0.2375} \]
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