Find the percentage of all values in a normal distribution for the following​ z-score.

zless than or equals≤negative 1.94−1.94

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.

Learn how to calculate the percentage of values in a normal distribution that are less than or equal to z = -1.94. Understand the Z-score formula and cumulative probability concept. Suitable for high school students learning statistics.

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