Quantitative Data is only as good as the following:
1)The accuracy of the tools or machines used to measure whatever it is that is obtaining the data. For example, one of the reasons that the calipers to measure bolts for spacecrafts cost the huge amounts we all laugh about is not a laughing matter. The required precision is so high it is not the same as the precision that one might need for a school project!
2) Human error. Somebody is doing the measurements or adding reagents if it is an experiment, and so on. For example, someone came to my home to test the water. They had a type of device that could measure how much color was caused by a reagent added to water. Sounds good right? Not so right. The people did not know how to add water correctly to a test tube so that the correct amount of water mixed with the correct amount of reagent!
3) Computer error. Don't think it does not happen!
Despite the drawbacks, overall quantitative data is generally BETTER than qualitative, but it is not perfect. Remeber Apollo 13!
Quantitative measurements are those which involve the collection of numbers. It is the opposite of qualitative data which are observations. For example, if you were interested in looking at height. Quantitative measurements would be taking an accurate measurement of everyone. Qualitative data would be looking at the person and putting them into a category of 'tall,' 'medium,' 'short.'
No, not always. It depends on the type of data you collect. If it is quantitative data, you will be able to calculate a mean. If it is qualitative data, a mean can't be calculated but you can describe the data in terms of a mode.
Any kind of graph can be used for quantitative data.
Quantitative data is Information that can be expressed in numerical terms, counted, or compared on a scale. An example of a quantitative data is: 'the number of 911 calls received in a month'.
The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
No, because there can be measurement errors as well as errors in recording the data.
don't you mean quantitative data and qualitative data?
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
Numerical data is quantitative research
Quantitative measurements are those which involve the collection of numbers. It is the opposite of qualitative data which are observations. For example, if you were interested in looking at height. Quantitative measurements would be taking an accurate measurement of everyone. Qualitative data would be looking at the person and putting them into a category of 'tall,' 'medium,' 'short.'
No, not always. It depends on the type of data you collect. If it is quantitative data, you will be able to calculate a mean. If it is qualitative data, a mean can't be calculated but you can describe the data in terms of a mode.
Quantitative methods of studying are important because they give greater picture ideas of a population. This means that the data collected is a more accurate picture of what is going on in the population.
The length of a movie is quantitative data.
One disadvantage of using the median is that it may not accurately represent the entire dataset if there are extreme outliers present, as the median is not influenced by the magnitude of these outliers. Additionally, the median may not be as intuitive to interpret as the mean for some individuals, as it does not provide a direct measure of the total value of the dataset. Finally, calculating the median can be more computationally intensive compared to other measures of central tendency, especially with large datasets.
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
Any kind of graph can be used for quantitative data.