You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly less than 0.16. Thus you are performing a left-tailed test. Your sample data produce the test statistic z = -2.963. Find the p-value accurate to 4 decimal places. p-value

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### Statistical Test for True Negative Probability

**Problem Statement:**
You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly less than 0.16. Thus, you are performing a left-tailed test. Your sample data produce the test statistic \( z = -2.963 \). Find the p-value accurate to 4 decimal places.

**Calculation:**

To find the p-value:

1. Use the z-score of -2.963.
2. Look up the z-score in a standard normal distribution table or use statistical software/calculator to find the corresponding p-value.

**Answer:**

\( \text{p-value} = \) [Calculated p-value]

### Notes:

- **Left-Tailed Test:** This test checks if the actual parameter is significantly less than the hypothesized parameter.
- **Z-Score:** The z-score represents how many standard deviations an element is from the mean. In this problem, \( z = -2.963 \) indicates that the sample mean is 2.963 standard deviations below the hypothesized mean.

For students: Understanding how to interpret and calculate p-values in hypothesis testing is crucial in making statistically informed decisions. The p-value helps determine the significance of your results in the context of your study.
Transcribed Image Text:### Statistical Test for True Negative Probability **Problem Statement:** You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly less than 0.16. Thus, you are performing a left-tailed test. Your sample data produce the test statistic \( z = -2.963 \). Find the p-value accurate to 4 decimal places. **Calculation:** To find the p-value: 1. Use the z-score of -2.963. 2. Look up the z-score in a standard normal distribution table or use statistical software/calculator to find the corresponding p-value. **Answer:** \( \text{p-value} = \) [Calculated p-value] ### Notes: - **Left-Tailed Test:** This test checks if the actual parameter is significantly less than the hypothesized parameter. - **Z-Score:** The z-score represents how many standard deviations an element is from the mean. In this problem, \( z = -2.963 \) indicates that the sample mean is 2.963 standard deviations below the hypothesized mean. For students: Understanding how to interpret and calculate p-values in hypothesis testing is crucial in making statistically informed decisions. The p-value helps determine the significance of your results in the context of your study.
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