Q: Could a frequency distribution contain qualitative data?

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Qualitative observations could also be called qualitative data, and would be data not related to exact numbers. Such observations could be warmth, flavor, gender, or yes-no answers to questions.

No, it could be a qualitative variable.

Qualitative means what is it while quantative means how much is there. Some examples of qualitative data might be whether a solution is of copper or iron or if a compound is formed with nitrate or carbonate. Quantative data could be the concentration of a solution or the mass present in a sample.

It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.

Stem-and-leaf plots are a method for showing the frequency with which certain classes of values occur. You could make a frequency distribution table or a histogram for the values, or you can use a stem-and-leaf plot and let the numbers show the same information.For instance, suppose you have the following list of values: 12, 13, 21, 27, 33, 34, 35, 37, 40, 40, 41. You could make a frequency distribution table showing how many tens, twenties, thirties, and forties you have:FrequencyClassFrequency10 - 19220 - 29230 - 39440 - 493You could make a histogram, which is a bar-graph showing the number of occurrences, with the classes being numbers in the tens, twenties, thirties, and forties. (The shading of the bars in a histogram isn't necessary, but it can be helpful by making the bars easier to see, especially if you can't use color to differentiate the bars.)The downside of frequency distribution tables and histograms is that, while the frequency of each class is easy to see, the original data points have been lost.You can tell, for instance, that there must have been three listed values that were in the forties, but there is no way to tell from the table or from the histogram what those values might have been.

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The frequency distribution shows in a graph or a table all the possible values of a variable, called the random variable, and the frequency or the count of each value. For example, if you had the ages of 100 people you could do a frequency distribution and split the ages into 10 year categories and then show how many of the 100 people were in the 20s, how many in their 30s, how many in their 40s and so on.

A qualitative observation for a penny could be that it is round, small, and made of metal.

Qualitative observations could also be called qualitative data, and would be data not related to exact numbers. Such observations could be warmth, flavor, gender, or yes-no answers to questions.

by qualitative analysis

Quantitative means in measurable amounts as opposed to qualitative. For instance, if someone asked you what the weather was like you could say, "it is hot" (qualitative), or you could say, "it is 95 degrees" (quantitative).

Using a quantitative sampling method in a qualitative study could result in a lack of in-depth understanding of participants' experiences and perspectives. On the other hand, using a qualitative sampling method in a quantitative study could introduce bias and limit the generalizability of the findings.

Qualitative observations for plants could include the color, texture, size, and shape of leaves or flowers. For liquids, qualitative observations might involve the color, clarity, viscosity, odor, and presence of bubbles or sediment.

No, it could be a qualitative variable.

With either a digital frequency meter or an oscilloscope.

Qualitative means what is it while quantative means how much is there. Some examples of qualitative data might be whether a solution is of copper or iron or if a compound is formed with nitrate or carbonate. Quantative data could be the concentration of a solution or the mass present in a sample.

It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.

Not necessarily. Qualitative data could be coded to enable such analysis.