Precision and Accuracy in Data Data is collected during experiments. Data recorded should be strictly facts and not include personal feelings or beliefs. This allows data to be recorded as it should, in detail and without bias. Often there is both numerical data and observational data to record. Numerical data, known as quantitative data, is what can be measured in the experiment. Examples of quantitative data include: height, weight, and distance. Observational data, known as qualitative data, are detailed descriptions, such as color, gender, etc. Data should be recorded in detail and without what? bias numbers units precision

Answer 1

Data should be recorded in detail and without bias.