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No, you generally do not need to compute the values of the standard normal cumulative distribution function $N(d_1)$ and $N(d_2)$ yourself. In typical exams or exercises, these values are usually provided directly, or you are allowed to simply write the expression containing $N(d)$ without computing the final numerical result.

Conditions: The context is standard exams or practice problems for option pricing.; The problem requires evaluating the Black-Scholes-Merton formula.

No, you generally do not need to compute the values of the standard normal cumulative distribution function $N(d_1)$ and $N(d_2)$ yourself. In typical exams or exercises, these values are usually provided directly, or you are allowed to simply write the expression containing $N(d)$ without computing the final numerical result.

Conditions: The context is standard exams or practice problems for option pricing.; The problem requires evaluating the Black-Scholes-Merton formula.

To compute $d_1$ and $d_2$, first convert the time to maturity into years. Then substitute the given parameters into the formula for $d_1$: $d_1 = \frac{\ln(S_0/X) + (r + \sigma^2/2)T}{\sigma\sqrt{T}}$.

Conditions: The parameters are $S_0=60$, $X=65$, $r=11\%$, $\sigma=45\%$, and maturity is 4 months.; Time $T$ must be expressed in years, so $T = 4/12$.; Values of $d_1$ and $d_2$ must be rounded to the nearest hundredth before table lookup.

To compute $d_1$ and $d_2$, first convert the time to maturity into years. Then substitute the given parameters into the formula for $d_1$: $d_1 = \frac{\ln(S_0/X) + (r + \sigma^2/2)T}{\sigma\sqrt{T}}$.

Conditions: The parameters are $S_0=60$, $X=65$, $r=11\%$, $\sigma=45\%$, and maturity is 4 months.; Time $T$ must be expressed in years, so $T = 4/12$.; Values of $d_1$ and $d_2$ must be rounded to the nearest hundredth before table lookup.