Question
Assume that the normal distribution applies and find the critical values.
The significance level is 0.00042 and alternative hypothesis is: p≠0.7.
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The significance level is 0.00042 and alternative hypothesis is: p≠0.7.
If you need this symbol in your answer, you can copy it from here:
Answers
GPT-4o mini
To find the critical values for a hypothesis test under the normal distribution for the given significance level (α = 0.00042) and the alternative hypothesis \( H_a: p \neq 0.7 \) (which indicates a two-tailed test), follow these steps:
1. **Determine the critical values for a two-tailed test:**
Since this is a two-tailed test, we split the significance level into two tails:
\[
\alpha/2 = 0.00042 / 2 = 0.00021
\]
2. **Find the z-scores corresponding to the critical values:**
Look for the z-scores that correspond to the cumulative probabilities of \( 0.00021 \) (for the lower tail) and \( 1 - 0.00021 = 0.99979 \) (for the upper tail).
- For \( P(Z < z_1) = 0.00021 \), you can find \( z_1 \) using a standard normal distribution table or a calculator:
- This z-score is approximately \( z_1 \approx -3.75 \) (using z-table or calculator).
- For \( P(Z < z_2) = 0.99979 \):
- This z-score is approximately \( z_2 \approx +3.75 \).
3. **Critical values:**
Therefore, the critical values for the test based on the significance level of 0.00042 are:
- \( z \approx -3.75 \) (left tail)
- \( z \approx +3.75 \) (right tail)
In summary, the critical values are approximately:
\[
z \approx -3.75 \quad \text{and} \quad z \approx 3.75
\]
1. **Determine the critical values for a two-tailed test:**
Since this is a two-tailed test, we split the significance level into two tails:
\[
\alpha/2 = 0.00042 / 2 = 0.00021
\]
2. **Find the z-scores corresponding to the critical values:**
Look for the z-scores that correspond to the cumulative probabilities of \( 0.00021 \) (for the lower tail) and \( 1 - 0.00021 = 0.99979 \) (for the upper tail).
- For \( P(Z < z_1) = 0.00021 \), you can find \( z_1 \) using a standard normal distribution table or a calculator:
- This z-score is approximately \( z_1 \approx -3.75 \) (using z-table or calculator).
- For \( P(Z < z_2) = 0.99979 \):
- This z-score is approximately \( z_2 \approx +3.75 \).
3. **Critical values:**
Therefore, the critical values for the test based on the significance level of 0.00042 are:
- \( z \approx -3.75 \) (left tail)
- \( z \approx +3.75 \) (right tail)
In summary, the critical values are approximately:
\[
z \approx -3.75 \quad \text{and} \quad z \approx 3.75
\]