Quantitative, if you're counting the numbers of males and females for any survey or question. It is qualitive if you are using it in the context "Jim is a male." That doesn't tell you how many. Instead it tells you what.
I can't tell you which one is most reliable because data (or information) can be collected in so many different situations to answer different questions. If I am conducting a very scientific experiment, for example I want to know if a type of tomato grows better in an acid soil, then I need to collect and analyze quantitative data.But in many fields, both types of data are needed. Sociology and psychology studies use qualitative data. For example, I want to know if people who have lived in hot climates for long periods of time, are more comfortable with heat and humidity. So I ask people if they are feeling uncomfortable (qualitative data), how long they have lived in a hot climate (quantitative data) , and also recorded the heat and humidity (quantitative data).- See related link. From the third link, the author opines:"What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description."
the midpoint of the data set
I think it means that our data includes outliers.
The easiest way to tell if data is normally distributed is to plot the data.line plot apex
Quantitative, if you're counting the numbers of males and females for any survey or question. It is qualitive if you are using it in the context "Jim is a male." That doesn't tell you how many. Instead it tells you what.
I can't tell you which one is most reliable because data (or information) can be collected in so many different situations to answer different questions. If I am conducting a very scientific experiment, for example I want to know if a type of tomato grows better in an acid soil, then I need to collect and analyze quantitative data.But in many fields, both types of data are needed. Sociology and psychology studies use qualitative data. For example, I want to know if people who have lived in hot climates for long periods of time, are more comfortable with heat and humidity. So I ask people if they are feeling uncomfortable (qualitative data), how long they have lived in a hot climate (quantitative data) , and also recorded the heat and humidity (quantitative data).- See related link. From the third link, the author opines:"What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description."
The added value services that Portakabin provide give them a competitive advantage as they would be the only company to offer these services. For example- if someone wanted to order a cabin and then realised that they needed more space, one of Portakabin's added value services may be to offer extensions to existing cabins at a reduced rate, whereas another company may not offer this service and the person would then have to pay for a totally new and separate building, thus costing more money. This would mean that, if the customer needed a cabin again, he/she would order from Portakabin again because of the easy and cheap experience that they had last time. In addition to this, the same customer might tell other people about the company, and they in turn may decide to use one of Portakabin'sservices.
The conclusion is based on the data that you got from the experiment (experimental results). To write a conclusion you should tell if your hypothesis was correct or incorrect then support your answer from your data. You should always use Quantitative details from the data.
Testing magnesium and sulfate by qualitative analytical chemistry methods.
Unless you tell me the current format of your current data, your operating system, and something about your hard drive, I can not tell you how to transfer your data.
it gives you the adverage of all data represented
It gives a measure of the spread of the data.
the midpoint of the data set
Range is a measure of variation; mode is a measure of center. Range will tell you how much the data vary, mode does not tell you how much the data vary.
Because i'm smart and your not i will tell you the answer it helps people find data and it updates it and it can tell you anything and updates anything with in seconds
It means that there is little variability in the data set.