A student wants to see if the number of times a book has been checked out of the library in the past year and the number of pages in the book are related. She guesses that the number of times a book has been checked out of the library in the past year will be a predictor of the number of pages it has. She randomly sampled 13 books from the library, test her claim at a 0.10 level of significance. number of times checked out number of pages 30 272 4 269 43 379 28 341 48 376 4 231 46 405 11 244 31 259 220 25 418 31 341 3 337 The correlation coefficient: r= (round to 3 decimal places) The equation y=a+bx is: (round to 3 decimal places) y= The hypotheses are: Ho:p = 0 (no linear relationship) HA:P + 0 (linear relationship) (claim) Since a is 0.10 the critical value is -1.796 and 1.796 The test value is: (round to 3 decimal places) The p-value is: (round to 3 decimal places) The decision is to O reject Ho O do not reject Ho Thus the final conclusion sentence is O There is enough evidence to reject the claim that there is a linear relationship. O There is not enough evidence to reject the claim that there is a linear relationship. O There is enough evidence to support the claim that there is a linear relationship. O There is not enough evidence to support the claim that there is a linear relationship.

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A student wants to investigate whether the number of times a book has been checked out of the library in the past year is related to the number of pages in the book. Her hypothesis is that the more a book is checked out, the more pages it has. She randomly sampled 13 books and is testing her hypothesis at a 0.10 level of significance.

**Data Table:**

| Number of times checked out | Number of pages |
|-----------------------------|-----------------|
| 30                          | 272             |
| 4                           | 269             |
| 43                          | 379             |
| 28                          | 341             |
| 48                          | 376             |
| 4                           | 231             |
| 46                          | 405             |
| 11                          | 244             |
| 31                          | 259             |
| 4                           | 220             |
| 25                          | 418             |
| 31                          | 341             |
| 3                           | 337             |

**Analysis:**

- **Correlation Coefficient (r):**   
  The correlation coefficient measures the strength and direction of a linear relationship between two variables.

- **Equation \( y = a + bx \):**  
  This linear equation represents the best fit line through the data points. \( a \) is the y-intercept and \( b \) is the slope.

- **Hypotheses:**

  \[
  H_0: \rho = 0 \quad \text{(no linear relationship)}
  \]

  \[
  H_A: \rho \neq 0 \quad \text{(linear relationship, claim)}
  \]

- **Level of Significance (α):**  
  The critical values at α = 0.10 are -1.796 and 1.796.

- **Test Value:**  
  This is the calculated value from the data to test the hypothesis.

- **p-value:**  
  The p-value indicates the probability of obtaining test results at least as extreme as the observed results, under the null hypothesis.

**Conclusion:**

Based on the test value and the p-value, you decide to either reject or not reject \( H_0 \):

- \"Reject \( H_0 \)\" or \"Do not reject \( H_0 \)\"

**Final Conclusion Sentence Options:**

- There is enough evidence to reject the claim that
Transcribed Image Text:A student wants to investigate whether the number of times a book has been checked out of the library in the past year is related to the number of pages in the book. Her hypothesis is that the more a book is checked out, the more pages it has. She randomly sampled 13 books and is testing her hypothesis at a 0.10 level of significance. **Data Table:** | Number of times checked out | Number of pages | |-----------------------------|-----------------| | 30 | 272 | | 4 | 269 | | 43 | 379 | | 28 | 341 | | 48 | 376 | | 4 | 231 | | 46 | 405 | | 11 | 244 | | 31 | 259 | | 4 | 220 | | 25 | 418 | | 31 | 341 | | 3 | 337 | **Analysis:** - **Correlation Coefficient (r):** The correlation coefficient measures the strength and direction of a linear relationship between two variables. - **Equation \( y = a + bx \):** This linear equation represents the best fit line through the data points. \( a \) is the y-intercept and \( b \) is the slope. - **Hypotheses:** \[ H_0: \rho = 0 \quad \text{(no linear relationship)} \] \[ H_A: \rho \neq 0 \quad \text{(linear relationship, claim)} \] - **Level of Significance (α):** The critical values at α = 0.10 are -1.796 and 1.796. - **Test Value:** This is the calculated value from the data to test the hypothesis. - **p-value:** The p-value indicates the probability of obtaining test results at least as extreme as the observed results, under the null hypothesis. **Conclusion:** Based on the test value and the p-value, you decide to either reject or not reject \( H_0 \): - \"Reject \( H_0 \)\" or \"Do not reject \( H_0 \)\" **Final Conclusion Sentence Options:** - There is enough evidence to reject the claim that
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