A poll of 2,139 randomly selected adults showed that 92% of them own cell phones. The technology display below results from a test of the claim that 91% of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a 0.05 significance level. identify the tests statistical, P- value, null hypotheses, two -tailed left tailed or both and the conclusion.
A poll of 2,139 randomly selected adults showed that 92% of them own cell phones. The technology display below results from a test of the claim that 91% of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a 0.05 significance level. identify the tests statistical, P- value, null hypotheses, two -tailed left tailed or both and the conclusion.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A poll of 2,139 randomly selected adults showed that 92% of them own cell phones. The technology display below results from a test of the claim that 91% of adults own cell phones. Use the
identify the tests statistical, P- value, null hypotheses, two -tailed left tailed or both and the conclusion.

Transcribed Image Text:---
**Hypothesis Testing Example**
**Test of \( p = 0.91 \) vs \( p \neq 0.91 \)**
| Sample | X | N | Sample p | 95% CI | Z-Value | P-Value |
|--------|-----|--------|------------|-------------------------------|---------|---------|
| 1 | 1967| 2,139 | 0.919589 | (0.908065, 0.931112) | 1.55 | 0.121 |
**a. Is the test two-tailed, left-tailed, or right-tailed?**
- ☐ Left-tailed test
- ☐ Right-tailed test
- ☐ Two-tailed test
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**Explanation of Table:**
- **Sample**: The identifier for the sample tested.
- **X**: The number of successes in the sample.
- **N**: The total number of trials in the sample.
- **Sample p**: The proportion of successes in the sample.
- **95% CI**: The 95% confidence interval for the proportion.
- **Z-Value**: The test statistic used to test the hypothesis.
- **P-Value**: The probability value associated with the Z-Value.
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When conducting a hypothesis test, it is important to determine the direction of the test:
1. **Left-tailed test**: Tests whether the population proportion is less than the hypothesized proportion.
2. **Right-tailed test**: Tests whether the population proportion is greater than the hypothesized proportion.
3. **Two-tailed test**: Tests whether the population proportion is different from the hypothesized proportion (could be either less than or greater than).
In this example, the test is conducted for \( p = 0.91 \) vs \( p \neq 0.91 \), indicating a two-tailed test. Therefore, the option "Two-tailed test" should be selected.
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