To clarify, are you asking for the z-scores (critical values) corresponding to specific confidence levels (such as 95%, 90%, etc.), or are you asking for the standard deviations of certain data sets? If you're referring to the z-scores used in hypothesis testing or constructing confidence intervals, I can provide the critical values.

For confidence levels, here are the approximate z-scores (or critical values) that correspond to common confidence intervals:

1. 95% confidence level: z ≈ 1.96
2. 90% confidence level: z ≈ 1.645
3. 85% confidence level: z ≈ 1.44
4. 80% confidence level: z ≈ 1.28
5. 75% confidence level: z ≈ 1.15
6. 70% confidence level: z ≈ 1.04
7. 65% confidence level: z ≈ 0.93
8. 60% confidence level: z ≈ 0.84
9. 55% confidence level: z ≈ 0.76

These z-scores represent how many standard deviations away from the mean a certain percentage of data falls, assuming a normal distribution.

Would you like to explore any specific applications of these values or ask further questions about their use? Feel free to clarify or expand the question!

---

Here are 5 related questions:

1. How are z-scores used to calculate confidence intervals?
2. What is the relationship between standard deviation and confidence intervals?
3. How do you calculate the sample size for a desired confidence level?
4. What is the formula for converting a z-score to a confidence interval?
5. What is the difference between z-scores and t-scores in hypothesis testing?

Tip: The critical z-value is key when constructing confidence intervals and determining the margin of error in statistics.