quantitative
The name for observations made during an experiment is "data." This includes both qualitative (descriptive) and quantitative (numerical) information collected during the course of the experiment.
When observing and recording the results of an experiment, observations may include both quantitative data (measurable, numerical) and qualitative data (descriptive, non-numeric). Quantitative data provide specific measurements, while qualitative data describe qualities, characteristics, or behaviors observed during the experiment. Both types of data are important in drawing conclusions and interpreting the results of an 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.
The observations made during an experiment are called data. This data can be qualitative, which describes characteristics or qualities, or quantitative, which involves numerical measurements. Analyzing this data helps researchers draw conclusions and make inferences about the hypothesis being tested.
I believe Qualitative and Quantitative observations?
1. Qualitative: this girl is tall. 2. Quantitative: this girl has 1,75 m.
the length of an event in time or distance is quantitative and the number of things is also
Qualitative observations focus on describing characteristics, qualities, and attributes of the subject being studied, often using words to capture feelings or perceptions. In contrast, quantitative observations involve measurable data, often expressed in numbers, which can be statistically analyzed. Both types of observations are crucial in research, as they provide a comprehensive understanding of the phenomena being studied. By combining qualitative and quantitative data, researchers can gain deeper insights and draw more robust conclusions.
Data
Data in an experiment refers to the information collected during the investigation, which can be quantitative (numerical measurements) or qualitative (descriptive observations). It serves as the foundation for analysis, allowing researchers to draw conclusions, identify patterns, and assess the validity of their hypotheses. Properly recorded and analyzed data is essential for ensuring the reliability and reproducibility of experimental results.
The measured result in an experiment is the data or information collected during the experiment that is used to analyze and draw conclusions. It is typically recorded in numerical or qualitative form and reflects the outcome of the experiment.
Observation is used in an experiment during the data collection phase to gather information about the phenomena being studied. It allows researchers to record measurable changes, behaviors, or reactions in response to specific variables. Observations can be qualitative or quantitative and help validate hypotheses or inform conclusions about the experimental results. Additionally, careful observation is critical throughout the experiment to ensure accuracy and reliability.