Name each level of measurement for which data can be qualitati...

Question

Name each level of measurement for which data can be qualitative.

Accepted Answer

Hello there. Today we're gonna solve the following practice problem together. So first off, let us read the problem and highlight all the key pieces of information that we need to use in order to solve this problem. Which level or levels of measurement can consist of qualitative data? Awesome. So it appears for this particular problem, we're trying to determine what level or more than one level, so which level or levels of measurement can consist of qualitative data. So with that in mind, now that we know what we're ultimately trying to solve for, let's read off our multiple choice answers to see what our final answer might be. So A is ordinal and interval, B is nomal and ratio, C is nomial and ordinal, and D is interval. Awesome. So our first step to solve this particular problem is we need to make sure we understand the concept that is being investigated for this particular problem, so we need to define qualitative data. So, as we should recall, qualitative data refers to non-numeric information that represents characteristics or categories. So that's our first step. We had to define qualitative data, which I'll call QD for short, and we also need to understand the concept of, as we should recall, there are 4 levels of measurement, and these 4 levels of measurement that are used for statistics are nomial, ordinal, interval, and ratio. Awesome. So with that in mind, so once again, let us know that there are 4 levels of measurement, which I'll call 4L for short, and these 4 levels of measurement once again arenomial, which I'll define as N. So it's nomal ordinal, which I'll call O for ordinal. And interval, which I'll call I for interval. And our last unit, or rather our last level of measurement is ratio, which I'll just call R. Awesome. So now, our second step is we need to identify and define the 4 levels. So, our nomial level, which I'll call NL, so for the nomial level, this represents categories with no specific order, for example, types of flowers. Awesome. And for the ordinal level, which I'll call OL, so for the ordinal level, as we should recall, this is defined as it represents categories that have a meaningful order but no consistent difference in or between ranks. So there's no consistent difference between rings. And for example, this is customer service satisfaction levels such as low, medium, or high. And finally, for the interval level and for the ratio level, we need to note that interval and ratio levels, as we should recall, are associated with quantitative data, and it's important, this is quantitative, not qualitative, quantitative. So interval and ratio levels are associated with quantitative data, since they involve numerical values with meaningful differences. So with that in mind, our third and final step is we need to make our final conclusions. So that would mean the levels of measurement that can include qualitative data are nomial and ordinal, and this is Without a doubt has to be associated with multiple choice answer letter C, which once again isnomial and ordinal. And that's it. We've officially solved for this particular problem. Thank you so much for watching. Hopefully that helped, and I can't wait to see you in the next video. Bye.

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