Final answer:
We are performing a right-tailed hypothesis test to determine if more than 50% of Americans believe corporations make too much profit, using a 1% level of significance. After establishing the requirements, null and alternative hypotheses, and calculating the test statistic and p-value, we conclude based on whether the p-value is less than the significance level.
Step-by-step explanation:
To assess if a proportion of Americans think business corporations make too much profit is greater than 50%, we use hypothesis testing with the following elements:
- Null Hypothesis (H0): The proportion of Americans who feel businesses make too much profit (p) is 50% or less (p ≤ 0.50).
- Alternative Hypothesis (Ha): The proportion of Americans who feel businesses make too much profit is greater than 50% (p > 0.50).
- This test is a right-tailed test.
- The random variable P' represents the sample proportion of Americans who agree that businesses make too much profit.
- The test statistic is calculated using the formula for a proportion z-test.
- The p-value is found by comparing the test statistic to a standard normal distribution.
If the p-value is less than the 1 percent significance level (α = 0.01), we reject the null hypothesis.
Requirements for the hypothesis test include a random sample, and a sufficiently large sample size for the normal approximation to be valid (np≥ 5 and n(1-p) ≥ 5). In the case of the study with 300 Americans, these requirements are met.
In real world terms, our conclusion would address whether we have sufficient evidence to support the claim that a greater proportion of Americans than previously thought believe corporations make too much profit.