A survey found that 55% of college presidents believe that their online education courses are as good as or superior to courses that use traditional face-to-face instruction. a. Give the null hypothesis for testing the claim made by the survey. b. Give the rejection region for a two-tailed test conducted at a = 0.01. a. What is the null hypothesis? = d:°H 0.55 (Type an integer or a decimal.) b. What is the rejection region? Select the correct choice below and fill in any answer boxes to complete your choice. (Round to three decimal places as needed.) O A. O C. z< O D. z>
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![**Survey Analysis on Online Education Perception Among College Presidents**
A recent survey found that 55% of college presidents believe that their online education courses are as good as or superior to traditional face-to-face instruction. The following prompts illustrate the steps to test the claim made by the survey statistically.
### Question:
**a. Give the null hypothesis for testing the claim made by the survey.**
**b. Give the rejection region for a two-tailed test conducted at α = 0.01.**
#### Answer:
**a. What is the null hypothesis?**
The null hypothesis (H₀) for the survey claim can be expressed as:
\[ H₀: p = 0.55 \]
where \( p \) represents the proportion of college presidents who believe that their online courses are as good as or superior to traditional face-to-face instruction.
**b. What is the rejection region?**
The rejection region for a two-tailed test at α = 0.01 requires determining the critical z-values that correspond to this significance level. The options given are:
- **A. \[ \_\_\_\ < z < \_\_\_\ ]**
- **B. \[ z < \_\_\ \text{ or } z > \_\_\ ]**
- **C. \[ z < \_\_\_\ ]**
- **D. \[ z > \_\_\_\ ]**
To find the critical z-values, we need to locate the z-scores that form the cutoff points for the tails. The area in each tail will be \(\frac{\alpha}{2} = 0.005\). Using z-tables or a statistical calculator, the critical values for a two-tailed test at α = 0.01 are approximately ±2.576.
Thus, the rejection region to test this hypothesis is:
\[ z < -2.576 \text{ or } z > 2.576 \]
Figuratively, this corresponds to option:
- **B. \[ z < -2.576 \text{ or } z > 2.576 \]**](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0d0fca7b-87e2-42be-9458-260269753889%2F27551480-f36b-41c0-96cb-5216638bfb6b%2F2eg3xg_processed.jpeg&w=3840&q=75)
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