A quantitative observation can observe numerical information, a control, non numerical information, and a system. A quantitative observation is observed through looking at things.
Quantitative and Qualitative. :)
quantitative observations can be expressed in numerical terms while quantitative observations are based on your senses - what you can see, hear, smell, etc.
quantitative and qualitative
Quantitative observations refer to empirical and/or calculated data, while the latter refer to things such as colour and smell.
They are dissimilar - not alike. "she was tall" is qualitative. "she was 2.01m tall" is quantitative. It embodies a quantity or measurement.
A graduated cylinder is typically used to make quantitative observations of the volume of liquids in a laboratory setting. Its marked volume graduations allow for accurate measurements of the liquid's volume.
Quantitative observations are observations with numbers
Quantitative and Qualitative. :)
quantitative observations can be expressed in numerical terms while quantitative observations are based on your senses - what you can see, hear, smell, etc.
Quantitative observations involve quantinty or numbers .
quatitative observations have to do with QUANTITY and qualitative observations have to do with QUALITY.
Quantitative observations are observations made only describing color, shape, look and feel. No numbers can be used. This means if you are describing an object, you cannot state it's weight because it contains a number.
Such observations are said to be quantitative.
The two types of observations are qualitative and quantitative. Qualitative observations are descriptive and based on qualities, while quantitative observations involve measurements and numerical data.
Quantitative observations (as opposed to qualitative observations, which do not include numbers)
Quantitative observations are the data collected in an experiment, mostly numbers. Qualitative observations would usually include written answers to analysis questions.
Yes, you can graph quantitative observations, as they represent numerical data that can be visualized. Common types of graphs used for this purpose include bar graphs, line graphs, and scatter plots, which effectively display relationships and trends within the data. By plotting quantitative observations on these graphs, you can easily interpret and analyze patterns or variations in the data set.