A psychologist has developed a new aptitude test and claims more than 75% of the public should score above 50 on the test. From a sample of 200 people, 164 scored above 50. Is there statistical evidence to support the psychologist’s claim? Use a = 0.01. 1. Identify the parameter 5. р-value 2. Null Hypothesis 3. Alternative Hypothesis
A psychologist has developed a new aptitude test and claims more than 75% of the public should score above 50 on the test. From a sample of 200 people, 164 scored above 50. Is there statistical evidence to support the psychologist’s claim? Use a = 0.01. 1. Identify the parameter 5. р-value 2. Null Hypothesis 3. Alternative Hypothesis
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
Transcribed Image Text:**Problem Statement:**
A psychologist has developed a new aptitude test and claims that more than 75% of the public should score above 50 on the test. From a sample of 200 people, 164 scored above 50. Is there statistical evidence to support the psychologist’s claim? Use α = 0.01.
**Steps for Hypothesis Testing:**
1. **Identify the Parameter:**
- The parameter of interest is the proportion of the public that would score above 50 on the test.
2. **Null Hypothesis (H0):**
- The null hypothesis is that 75% or fewer of the public score above 50 on the test. Mathematically, \( H_0: p \leq 0.75 \).
3. **Alternative Hypothesis (H1):**
- The alternative hypothesis is that more than 75% of the public score above 50 on the test. Mathematically, \( H_1: p > 0.75 \).
4. **Test Statistic:**
- Calculate the test statistic, typically using the formula for the standard Normal distribution \( (z) \).
5. **p-value:**
- Determine the p-value to compare with the level of significance (α = 0.01).
6. **Conclusion:**
- Draw the conclusion whether to reject or not reject the null hypothesis based on the comparison of the p-value and α.
**Graph Explanation:**
- **Normal Distribution Bell Curve:**
- A bell-shaped curve is illustrated, which represents the standard Normal distribution. This curve is typically used to visualize the relationship between the test statistic and the critical value or p-value for hypothesis tests.
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