Quantitative observations refer to empirical and/or calculated data, while the latter refer to things such as colour and smell.
The main difference between qualitative and quantitative observations lies in their focus and measurement methods. Qualitative observations describe characteristics or qualities, often using descriptive language, such as colors, textures, or behaviors. In contrast, quantitative observations involve numerical measurements and data, allowing for statistical analysis, such as counts, lengths, or temperatures. Essentially, qualitative is about "what" is observed, while quantitative is about "how much" or "how many."
An inference is a logical conclusion based on observations. A generalization is a logical conclusion based on many observations and data. The difference between the two is that inferences deal with specifics pertaining to the experiment being worked on, while generalizations are more "general" and apply more to the idea than the specific experiment.
in mathematical statistics qualitative means not numbers so it has to be expressed in words e.g. a color quantative: means a number e.g. age.
With an observation, you simply take note of your surroundings or what you happen to notice. In an inference on the other hand, the observations are then analyzed and a conclusion is made.
a hypothesis is a statement to a certain opinion whereas a problem is an issue between 1 or more people the most significant difference between problem and hypotheses is a hypotheses can be tested but a problem can not ,as problem is just question.a question can not be tested unless it is not transferred in to hypotheses
Quantitative observations are observations that can be precisely measured. Qualitative observations, meanwhile, are subjective observations that are based on the characteristics of what is being observed.
The main difference between qualitative and quantitative research/observations are the purposes of the observations. Qualitative research uses a small number of cases to determine the underlying reasons and motivations of an action. Quantitative research uses a large number of cases to create a generalized result.
Qualitative observations involve characteristics that can be observed but not measured, such as color or texture. Quantitative observations involve measurements or numerical data, such as weight or temperature.
they are both incredibly boring so no there is no difference ;)
a qualitive observation is observing something without using numbers like here is an example: the cell is round with blue cytoplasm in it. a quanitive observation is with using numbers only. here is an example: the tree is 23 inches round and 17ft off the ground. that is the difference.
Quantitative observations are the data collected in an experiment, mostly numbers. Qualitative observations would usually include written answers to analysis questions.
Qualitative usually refers to the quality of the work, how good, or bad, the work is. Quantitative refers to the amount, or quantity, of the work.
quantitive risk assessment is to do with numers, high, medium and low numbers can range from 5 to 1 qualitive risk assessments are words, descriptive words
what is the difference between qualitative and quantitative
Qualitative is the senses determining the value of information, such as "variable x was much bigger and hotter than variable y", while quantitative is the exact measurements, such as "variable x was 72 degrees hotter and 15 cubic inches bigger than variable y"
A qualitative observation has to do with things you can't count, "The fish has black scales" is a qualitative observation. A quantitative observation has to do with things you can count, "The fish has 125 scales" is a quantitative observation. You can combine these two, an example would be "The fish has 125 black scales."
the difference is that results are the answers to the observations.