Computers and statistical packages greatly speed up tasks such as data entry, cleaning, coding and complex calculations, reducing human error in routine processing and allowing researchers to handle large datasets. However, software cannot decide whether methods are appropriate or what the results mean; human judgment is needed for design, analysis choice and interpretation.
Option A:
This option implies that understanding of statistics is unnecessary, which is dangerous. Without conceptual knowledge, researchers may misuse software and misinterpret output.
Option B:
This option suggests that thinking can be automated, which overestimates the capability of software; programs can follow procedures but cannot understand context or theoretical implications.
Option C:
This option is correct because it treats computers and software as tools that handle storage and computation efficiently while leaving responsibility for interpretation and critical decisions with the researcher.
Option D:
At present, software cannot independently generate meaningful research problems. Identifying worthwhile questions still depends on human creativity and domain knowledge; computers may assist with literature searches but do not replace the researcher.
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