Final answer:
The probability of earning a negative return for the risky fund is approximately 0.2514, and for the less risky fund, it is approximately 0.2368, after looking up the calculated Z-scores in a Z-table and rounding to four decimal places.
Step-by-step explanation:
To calculate the probability of earning a negative return for each mutual fund, we'll model the returns using a normal distribution with the respective expected returns and standard deviations. We use the Z-score formula to find the number of standard deviations our point of interest (a return of 0%) is from the mean (expected return).
For the relatively risky fund with an expected return of 7.5% and standard deviation of 11.2%, the Z-score is calculated as:
Z = (0 - 7.5%) / 11.2%
Z ≈ -0.6696
For the relatively less risky fund with an expected return of 4.8% and a standard deviation of 6.7%, the Z-score is:
Z = (0 - 4.8%) / 6.7%
Z ≈ -0.7164
Next, we look up these Z-scores on a standard normal distribution table to find the probabilities of a negative return.
Using a Z-table and rounding to four decimal places:
Probability of a negative return (risky fund) ≈ 0.2514
Probability of a negative return (less risky fund) ≈ 0.2368
Thus, the fund with a higher expected return also has a higher probability of a negative return, reflecting its higher risk.