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.
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.
Quantitative observations are the data collected in an experiment, mostly numbers. Qualitative observations would usually include written answers to analysis questions.
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
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.
A "conjecture" is a conclusion reached simply from observations...this is a process known as "inductive reasoning". An example would be a weather forecast. The difference between "inductive reasoning" and "deductive reasoning" is that with deductive reasoning, the answer must "necessarily" follow from a set of premises. Inductive reasoning is the process by which you make a mathematical "hypothesis" given a set of observations
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.
Quantitative observations refer to empirical and/or calculated data, while the latter refer to things such as colour and smell.
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.
the difference is that results are the answers to the observations.
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.
they are both incredibly boring so no there is no difference ;)
what is the difference between an observation and an assumption
Quantitative observations are the data collected in an experiment, mostly numbers. Qualitative observations would usually include written answers to analysis questions.
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
WikiAnswers cannot describe something that you noticed. We were not there. Your assignment is to use your own observations to tell the difference between these properties.
Observation is the act of noticing and recording something that has been directly perceived. Inference involves making logical conclusions based on observations and prior knowledge. Prediction is a statement about what will happen in the future based on observations, inferences, and patterns.
Formal observations are planned, structured, and systematic observations that follow a specific protocol or method, such as a checklist or rubric. Informal observations are more relaxed, spontaneous, and subjective observations that may not follow a specific structure or method. Formal observations are often used in research or evaluations, while informal observations are more commonly used in everyday situations or interactions.