The mean SAT score in mathematics is 530. The founders of a nationwide SAT preparation course claim that graduates of the course score higher, on average, than the national mean. Suppose that the founders of the course want to carry out a hypothesis test to see if their claim has merit. State the null hypothesis Ho and the alternative hypothesis H₁ that they would use. Ho: O H₁: 0 7 X a Р S 0<0
The mean SAT score in mathematics is 530. The founders of a nationwide SAT preparation course claim that graduates of the course score higher, on average, than the national mean. Suppose that the founders of the course want to carry out a hypothesis test to see if their claim has merit. State the null hypothesis Ho and the alternative hypothesis H₁ that they would use. Ho: O H₁: 0 7 X a Р S 0<0
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![The mean SAT score in mathematics is 530. The founders of a nationwide SAT preparation course claim that graduates of the course score higher, on average, than the national mean. Suppose that the founders of the course want to carry out a hypothesis test to see if their claim has merit. State the null hypothesis \( H_0 \) and the alternative hypothesis \( H_1 \) that they would use.
**Hypotheses:**
\( H_0: \) [ ]
\( H_1: \) [ ]
**Explanation:**
To test the claim that the SAT preparation course improves scores, we set up the hypotheses as follows:
- **Null Hypothesis (\( H_0 \))**: This is the statement we aim to test against. In this case, the null hypothesis would claim that the mean score of graduates is less than or equal to the national mean score of 530.
- **Alternative Hypothesis (\( H_1 \))**: This represents the claim the founders are making. Here, the alternative hypothesis would state that the mean score of graduates is greater than the national mean score of 530.
**Symbols and Operators Box:**
A box is provided for statistics symbols and comparison operators such as:
- Mean (\( \mu \))
- Sample mean (\( \bar{x} \))
- Population proportion (\( p \))
- Sample proportion (\( \hat{p} \))
- Population standard deviation (\( \sigma \))
- Sample standard deviation (\( s \))
Comparison operators include:
- Less than or equal (\( \leq \))
- Greater than or equal (\( \geq \))
- Less than (<)
- Greater than (>)
- Not equal (\( \neq \))](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe9977e7e-4f83-45c0-bd68-cae44a883613%2F17659461-69ca-457f-a246-159cd1719668%2F8xkngxc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The mean SAT score in mathematics is 530. The founders of a nationwide SAT preparation course claim that graduates of the course score higher, on average, than the national mean. Suppose that the founders of the course want to carry out a hypothesis test to see if their claim has merit. State the null hypothesis \( H_0 \) and the alternative hypothesis \( H_1 \) that they would use.
**Hypotheses:**
\( H_0: \) [ ]
\( H_1: \) [ ]
**Explanation:**
To test the claim that the SAT preparation course improves scores, we set up the hypotheses as follows:
- **Null Hypothesis (\( H_0 \))**: This is the statement we aim to test against. In this case, the null hypothesis would claim that the mean score of graduates is less than or equal to the national mean score of 530.
- **Alternative Hypothesis (\( H_1 \))**: This represents the claim the founders are making. Here, the alternative hypothesis would state that the mean score of graduates is greater than the national mean score of 530.
**Symbols and Operators Box:**
A box is provided for statistics symbols and comparison operators such as:
- Mean (\( \mu \))
- Sample mean (\( \bar{x} \))
- Population proportion (\( p \))
- Sample proportion (\( \hat{p} \))
- Population standard deviation (\( \sigma \))
- Sample standard deviation (\( s \))
Comparison operators include:
- Less than or equal (\( \leq \))
- Greater than or equal (\( \geq \))
- Less than (<)
- Greater than (>)
- Not equal (\( \neq \))
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