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

Question

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

Accepted Answer

Hello there. Today we're going to 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 quantitative data? Awesome. So it appears for this particular problem we're asked to determine what level or levels, more than one, levels of measurement or level of measurement can consist of quantitative data. So now that we know what we're ultimately trying to solve for, let's take a moment to read off our multiple choice answers to see what answer might be our final answer. So A is ordinal, B is nomal and ratio, C is nomial and ordinal, and finally, D is interval and ratio. Awesome. So our first step that we need to take in order to solve this particular problem is we need to understand the following concepts. So we need to recall and note that quantitative data. Which I'll just call Q for short, quantitative data consists of numerical values that measure quantities or amounts, and we also need to recall and use the four levels of measurement, because as we should recall, there are 4 main levels of measurement or statistic or statistics, and the 4 levels of measurement are as followsnomial. Ordinal Interval and ratio, which I'll call NOI and R for short. So, our second step now is we need to identify out of our 4 levels of measurement, which 4 levels of measurement show quantitative levels. So as we should recall, because we're trying to identify which of these 4 levels of measurement have quantitative levels, we need to recall and note that the levels of measurement that can be quantitative are Interval, because interval, as we should recall, represents numerical data where differences are meaningful, but ratios are not, for example, temperature values in degrees Celsius. As and also ratio level, which represents numerical data where both differences and ratios are considered meaningful, and a true value exists. And for example, of this particular level of measurement is weight or height, and then finally for nomial and ordinal levels are typically qualitative. Because they represent categories or ordered ranks rather than numerical qualities, or I should say numerical quantities, a set of qualities. So once again, it's important to note that gnomial and ordinal levels are typically qualitative, not quantitative qualitative. And they represent categories or ordered ranks rather than numerical quantities. So that means our third and final step is to make our final conclusions, and as you should note and recall, the levels of measurement that can be quantitative are interval and ratio. So those are our final two answers. So it's going to be interval. And ratio, so that means our final answer without a doubt has to be multiple choice answer letter D, which once again is interval and ratio. 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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