in this video we're going to talk about data and the different types of data as you can see we have it on the board there's two types quantitative and qualitative when you hear the word quantitative what do you think of i think of numbers such as 5 8 12 that's quantitative data it's numerical data and there's two types of numerical data you have the form that is discrete and the form that is continuous now discrete data it's based on counting for instance let's say if there are eight cats that's a discrete number you cannot have 8.5 cats that's not possible you can't have 2.37 cats and so when you're counting let's say animals or objects it's based on whole numbers or zero as well but you can't have any number in between you can't have 7.46 cats so counting is based on a discrete numerical data now something that can be measured is based on a continuous form of numerical data such as distance the distance between point a to point b it doesn't have to be an integer it doesn't have to be five meters or eight meters it could be somewhere in between it could be 5.56 meters it could be 7.283 meters and so it doesn't have to be a whole number or an integer it can be any number in between so that would be a type of continuous numerical data so to review remember this anything that can be counted would fall in the category of discrete data which is also quantitative and anything that can be measured is continuous data which also falls under the category of quantitative data so things like a distance speed weights these are numbers that can be measured or these are properties that can be measured with numbers now let's move on into qualitative data qualitative data is basically descriptive data based on observations and you use words to describe this data not numbers and that's a key difference between quantitative and qualitative data quantitative data use numbers qualitative data use words now qualitative data usually involves the five senses it could be visual like what you see such as color it can be feel that something feels soft or hard it could be taste that food tasted good or maybe that one tasted bad it can be what you hear is it is the volume low or is it high that's descriptive data what about the smell does it smell good or smell bad or doesn't smell at all so these are different forms of qualitative data and as you can see you use words to describe it now let's see if you remember what you've learned what i'm going to do at this point is i'm going to quiz you and i'm going to give you some situations and i want you to determine is it quantitative or is it qualitative and if it is quantitative would it fall under the category of being discrete numerical data or continuous numerical data so let's say if we have seven dogs is that quantitative or qualitative well in this case we're dealing with a number so that would be quantitative now are we dealing with discrete data or continuous data the number of dogs can't be 0.5 you can't have 7.5 dogs so it has to be discrete we are counting the number of dogs so let's say if the cat's fur is black is that quantitative or qualitative here we're dealing with color there's no numbers here and so this is dealing with the uh visual senses we're seeing the color and we are describing it using words so this would fall under the category of qualitative data now let's say that michael is six feet tall so this six feet his height is it quantitative or qualitative so we're dealing with numbers that is quantitative now is it discrete or continuous we are measuring his height it doesn't have to be a whole number he could be five feet and 11 inches tall or he could be 5.983 feet tall it doesn't have to be exactly six so because this involves some measurement it is a form of continuous numerical data now let's say the cat's fur is rough so this is not quantitative there's no numbers this is basically how it feels so we're using words to describe that this is qualitative so hopefully those examples gave you a better understanding of the difference between quantitative data and qualitative data