wk7assgn_1

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Walden University *

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8110

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Sociology

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Jan 9, 2024

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docx

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4

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1 Testing for a One Way ANOVA Walden University RSCH-8201: Evaluating Significance of Findings Dr. Hijazi 2023
2 Testing for a One Way ANOVA ANOVA testing is the analysis of the difference between groups using the method of group variance (ANOVA, Kim, 2014). A single independent variable with several categories and a single continuous dependent variable must be present to perform a single-sided ANOVA. The one-sided ANOVA is used to answer the question, ‘How does education affect employment?’ Answering this question can result in social change by emphasizing the need for more job-related training and the potential for other job-related interventions. ANOVA using the one-sided method will be conducted using a dataset of 37.23 median ages (AFrobarometer). The null hypothesis is rejected when analyzing the Afrobarometer variable education and employment data using ANOVA testing. Sample variance Is 1 further describes the lower degree of freedom, meaning less power to accept the null hypothesis without validating the significant result. The null hypothesis additionally implies that there is no significance to education and getting a job. This information provides insight into the wages within the employment sector and how the economy may devalue education or that education may be inaccessible.
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