In an experiment, data can be categorized into quantitative and qualitative types. Quantitative data consists of numerical measurements that can be analyzed statistically, such as heights, weights, or temperatures. Qualitative data, on the other hand, includes non-numerical observations, such as descriptions of behaviors, colors, or textures. Both types of data are crucial for drawing conclusions and understanding the effects of the experimental variables.
conclusion or data
data
There are multiple trials conducted, and the procedure for collecting data is properly designed.
Data are values of qualitativeor quantitative variables, belonging to a set of items collected from the experiment.
RESULT
A pie chart or a graph.
Data is the information collected during an experiment
conclusion or data
data
The information collected during an experiment is called data. This data is used to analyze the results of the experiment and draw conclusions based on the findings.
conclusion based on data expected to be collected in the experiment
The facts collected during an experiment are called data. Data can be quantitative (numbers and measurements) or qualitative (descriptions and observations) and are used to analyze and draw conclusions from the experiment.
IT is data
Stuff...
data
data
There are multiple trials conducted, and the procedure for collecting data is properly designed.