## Write an abstract up to 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings

A social scientist wants to determine if a person’s height might be correlated with his or her sense of self-confidence. To explore this, the scientist recruits a group of participants and gathers two metrics: First the researcher administers the Acme Self-Confidence Instrument (ASCI), a self-administered survey that produces a score between 0 and 50 (0 = very low self-confidence, 50 = very high self-confidence). Second, the scientist measures the height (in inches) of each participant.

Data set: Ch 08 – Exercise 07A.sav Codebook Variable: height Definition: Height of participant (in inches) Type: Continuous Variable: asci Definition: Acme Self-Confidence Instrument score Type: Continuous (0 = very low self-confidence, 50 = very high self-confidence)

1. Write the hypotheses.

2. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.

3. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution.

4. Write an abstract up to 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.

### If so, how do you think these goals will provide direction for school boards, curriculum developers, and teachers?

Select one national goal and visit your state department of education website (see www.nasbe.org; click on “Links” and then on ”State Education Agencies”). How does your state education agency address….

### Define the characteristics of a rhetorical analysis.

Focusing Your LearningLesson Objectives By the end of this lesson, you should be able to: Define the characteristics of a rhetorical analysis. Examine sample rhetorical analysis essays. Demonstrate the use….

### Comment on what these successive R2 values suggest about goodness‐of‐ fit for each addition to the simple model.

Researchers suggested that the value of the carbon isotope δ13C in human serum might reflect dietary consumption of corn‐based and cane‐based sweeteners. This might then offer a measure that objectively….