To find the percentage of values in a normal distribution that are less than or equal to $z = -1.94$, you can follow the same procedure as before.

Result:

Looking up $z = -1.94$ in the Z-table, the cumulative probability corresponding to this z-score is approximately 0.0262.

Interpretation:

This means that approximately 2.62% of the values in a normal distribution are less than or equal to $z = -1.94$.

Would you like to explore this concept further or have any additional questions?

Here are some related questions you might find helpful:

1. How does the area under the curve relate to z-scores?
2. What is the z-score for a certain percentile in a normal distribution?
3. How can you calculate the probability between two z-scores?
4. What is the relationship between z-scores and standard deviations?
5. How do you interpret a z-score in terms of standard deviations from the mean?

Tip: Always remember that the Z-table gives you the cumulative probability from the far left up to the specified z-score. For z-scores below zero, this represents the percentage of values that are less than or equal to that z-score in the distribution.