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For a 95% confidence interval:

1. **α** (the significance level) is equal to **1 - confidence level**, so:
   \[
   \alpha = 1 - 0.95 = 0.05
   \]

2. **α/2** is the value needed to calculate the critical value from the standard normal distribution (z-score). Dividing α by 2 gives:
   \[
   \alpha / 2 = 0.05 / 2 = 0.025
   \]

Thus, for a 95% confidence interval:
- **α = 0.05**
- **α/2 = 0.025**

Would you like further details or have any questions?

Here are 5 related questions you might explore:
1. What is the z-score corresponding to a 95% confidence interval?
2. How would the α value change for a 99% confidence interval?
3. What is the critical t-value for a 95% confidence interval with a small sample size?
4. How does increasing the confidence level affect the width of the confidence interval?
5. Can you calculate a 95% confidence interval given a sample mean and standard deviation?

**Tip:** When you halve the significance level (α/2), you determine the tail probability used in many statistical tests, such as when looking up z-scores.

For a 95% confidence interval, what are the values of α and α/2?

Learn how to find the significance level (α) and its half (α/2) for a 95% confidence interval. This involves calculating α as 0.05 and α/2 as 0.025, using standard statistical formulas.

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