The question asks for the probability $P(Z < 2.23)$ from the standard normal distribution, where the mean $\mu = 0$ and standard deviation $\sigma = 1$.

Step-by-Step Solution:

1. Locate Z = 2.23 on the Z-table, which gives the cumulative probability from $-\infty$ to 2.23.

2. From the Z-table, the cumulative probability for $Z = 2.23$ is:

   $P(Z < 2.23) = 0.9871$

3. Answer:
   Expressing the probability rounded to 4 decimal places:

   $P(Z < 2.23) = 0.9871$

This means the area to the left of $Z = 2.23$ under the standard normal curve is 0.9871.

Would you like further details or have any questions?

Related Questions:

1. What is the cumulative probability for $Z < 1.96$?
2. How do you interpret probabilities in a standard normal distribution?
3. What is the probability $P(Z > 2.23)$ using the complement rule?
4. How do we calculate probabilities when Z-scores are negative?
5. What is the total area under the standard normal curve?

Tip: When calculating probabilities for normal distributions, if Z-scores aren't integers, a Z-table or software tools (like Excel or calculators) can be very handy.