Statistical Thinking in Modern Journalism: A Quantitative Analysis of Data Literacy, News Accuracy, and Audience Trust

Abstract

The increasing availability of data and digital technologies has transformed journalism, making statistical literacy and data-driven reporting essential for credible news production. This study investigates the relationship between journalists’ statistical literacy, data journalism training, reporting accuracy, and audience trust in Lagos State media. Using a quantitative cross-sectional design, data were collected from 120 journalists and 450 news consumers through structured questionnaires and audience surveys. Descriptive statistics, correlation, and regression analyses were employed to examine relationships among the variables. The results indicate that statistical literacy significantly predicts reporting accuracy, while accurate reporting strongly influences audience trust. Training in data journalism further enhances reporting performance, suggesting that professional development is crucial for quality news production. The findings highlight the importance of integrating statistical literacy and data-driven practices into journalism education and newsroom protocols. Overall, the study demonstrates that quantitative competence strengthens journalistic credibility, reduces misinformation, and fosters audience confidence in media institution