An educator estimates that the dropout rate for seniors at high schools in a certain state is 15%. Last year, 38 seniors from a random sample of 200 seniors in that state withdrew. The test statistic is (Round answer to two decimal places. Do not write 0.12 as .12.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
### Understanding Correlation in Scatter Plots

The image showcases four scatter plots labeled A, B, C, and D, which illustrate different types of correlation between two variables. Below is a detailed explanation of each part:

1. **Scatter Plot A**:
   - **Description**: This plot shows a clear descending pattern, where the data points trend from the top left to the bottom right.
   - **Interpretation**: This indicates a strong negative correlation, meaning as one variable increases, the other variable tends to decrease. The correlation coefficient (r) is likely close to -1.

2. **Scatter Plot B**:
   - **Description**: The points here form an ascending pattern from the lower left to the upper right.
   - **Interpretation**: This suggests a positive correlation, indicating that as one variable increases, the other variable also tends to increase. The correlation coefficient (r) is positive and likely closer to 1.

3. **Scatter Plot C**:
   - **Description**: The data points are more scattered and do not form a clear pattern, though there may be a slight downward trend.
   - **Interpretation**: This could indicate a weak negative correlation. The correlation coefficient (r) might be around -0.5, though not as strong as in Plot A.

4. **Scatter Plot D**:
   - **Description**: Here, the points are randomly dispersed without any apparent upward or downward trend.
   - **Interpretation**: This indicates no correlation between the two variables. The correlation coefficient (r) is close to 0.

### Key Insight

- **This graph has an \( r \) of -0.5.**
  - This statement likely refers to Scatter Plot C, where the data points exhibit a weak negative correlation. While there is a slight tendency for the variables to be inversely related, it is not a strong or perfect correlation.

Understanding these concepts is crucial for analyzing data patterns and making informed conclusions based on the strength and direction of relationships between variables.
Transcribed Image Text:### Understanding Correlation in Scatter Plots The image showcases four scatter plots labeled A, B, C, and D, which illustrate different types of correlation between two variables. Below is a detailed explanation of each part: 1. **Scatter Plot A**: - **Description**: This plot shows a clear descending pattern, where the data points trend from the top left to the bottom right. - **Interpretation**: This indicates a strong negative correlation, meaning as one variable increases, the other variable tends to decrease. The correlation coefficient (r) is likely close to -1. 2. **Scatter Plot B**: - **Description**: The points here form an ascending pattern from the lower left to the upper right. - **Interpretation**: This suggests a positive correlation, indicating that as one variable increases, the other variable also tends to increase. The correlation coefficient (r) is positive and likely closer to 1. 3. **Scatter Plot C**: - **Description**: The data points are more scattered and do not form a clear pattern, though there may be a slight downward trend. - **Interpretation**: This could indicate a weak negative correlation. The correlation coefficient (r) might be around -0.5, though not as strong as in Plot A. 4. **Scatter Plot D**: - **Description**: Here, the points are randomly dispersed without any apparent upward or downward trend. - **Interpretation**: This indicates no correlation between the two variables. The correlation coefficient (r) is close to 0. ### Key Insight - **This graph has an \( r \) of -0.5.** - This statement likely refers to Scatter Plot C, where the data points exhibit a weak negative correlation. While there is a slight tendency for the variables to be inversely related, it is not a strong or perfect correlation. Understanding these concepts is crucial for analyzing data patterns and making informed conclusions based on the strength and direction of relationships between variables.
**Estimation of High School Dropout Rates**

An educator estimates that the dropout rate for seniors at high schools in a certain state is 15%. Last year, 38 seniors from a random sample of 200 seniors in that state withdrew.

**Calculation of Test Statistic**

To determine if this sample provides significant evidence that the dropout rate is different from the estimated 15%, we compute the test statistic.

The test statistic is: [Blank for answer]

(Round answer to two decimal places. Do not write 0.12 as .12.)
Transcribed Image Text:**Estimation of High School Dropout Rates** An educator estimates that the dropout rate for seniors at high schools in a certain state is 15%. Last year, 38 seniors from a random sample of 200 seniors in that state withdrew. **Calculation of Test Statistic** To determine if this sample provides significant evidence that the dropout rate is different from the estimated 15%, we compute the test statistic. The test statistic is: [Blank for answer] (Round answer to two decimal places. Do not write 0.12 as .12.)
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman