Statements A, B, C, D and F correctly describe aspects of quantitative data analysis, while E is false. Statement A is true because descriptive statistics use measures like mean and standard deviation, and statement B correctly notes that inferential statistics enable generalisation. Statement C is accurate since graphs such as histograms summarise distributions, and statement D is true because data often need to be coded before software analysis. Statement F is also correct in stating that test choice depends on measurement level and research questions, whereas E is false because even rigorous quantitative analysis cannot guarantee correctness if design is flawed.
Option A:
Option A includes only A, B and C, omitting D and F. While the included statements are correct, leaving out the need for coding and the dependence of test choice on measurement level and questions results in an incomplete description. Therefore this option cannot be the correct answer.
Option B:
Option B adds D but still omits F, failing to mention that test selection depends on measurement scales and the nature of questions. Although it captures more aspects than Option A, it still does not include all the true statements from the list.
Option C:
Option C contains B, C, D and F but omits A. Since A is a foundational statement about descriptive statistics, excluding it weakens the completeness of the combination. A correct answer must encompass all the true statements A, B, C, D and F.
Option D:
Option D correctly groups A, B, C, D and F and excludes E, which is the only false statement. It recognises both descriptive and inferential aspects, the role of coding, graphical summaries and principled test selection. As it contains all and only the true statements, this option is the correct answer.
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