0
This statement is absolutely False due to the fact that quantitative level consist mainly in numeric situations.
Wiki User
∙ 12y ago
Add your answer:
Earn +20 pts
Is Gender nominal or ordinal?
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
Which measure of central tendency can be calculated for both quantitative data and for qualitative data?
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
What are the differences between quantitative and qualitative?
Quantitative means measurable and/or a reference to a specific amount.Examples of quantitative data:3kg1l9lbsQualitative means data that are more easily (or only) expressed by description and not measurementsExamples of qualitative:"My ball is red.""That sword is sharp."
What is the difference between quantitative and qualitative data in statistics?
Quantitative data is data that is relating to, measuring, or measured by the quantity of something, rather than its quality. ex: the number of people in a townQualitative data is data that can be captured that is not numerical in nature ex: the color of people's skin.Thus, essentially the distinction is that quantitative data deals with numbers and numerical values of what is being tested, where as qualitative data deals with the quality of what is being tested.Qualitative data's description cannot be describe in numbers. Quantitative data's description ca only be described in numbers.
What if the data doesnt have a median how do we make a box and whisker plot?
If the data are quantitative they must have a median. If there is no median it is only because the data are qualitative and, in that case, a box and whiskers plot is meaningless.
True or false Data at the ordinal level are quantitative only?
false
Is Gender nominal or ordinal?
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
What is the data includes only numbers?
Quantitative data
What is quantative data?
The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
What is the difference between ordinal and nominal data?
Ordinal data has an inherent order, i.e. ranking, in its possible values. For example 'poor, fair, good, excellent' is ordinal becaused there is an assumption that the four possible values are higher from one to the next. It can be coded as 1,2,3,4 but there is no assumption of equal spacing. Nominal data has no inherent ranking, only labeling-e.g. 'apple, strawberry, orange'. The choices are three levels with no assumed value. Any numerical coding does not reflect any quantitative meaning. Georgette Asherman, Direct Effects, LLC
Which measure of central tendency can be calculated for both quantitative data and for qualitative data?
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
Compare Quantitative and Qualitative Data?
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
What are the differences between quantitative and qualitative?
Quantitative means measurable and/or a reference to a specific amount.Examples of quantitative data:3kg1l9lbsQualitative means data that are more easily (or only) expressed by description and not measurementsExamples of qualitative:"My ball is red.""That sword is sharp."
What is the difference between quantitative and qualitative data in statistics?
Quantitative data is data that is relating to, measuring, or measured by the quantity of something, rather than its quality. ex: the number of people in a townQualitative data is data that can be captured that is not numerical in nature ex: the color of people's skin.Thus, essentially the distinction is that quantitative data deals with numbers and numerical values of what is being tested, where as qualitative data deals with the quality of what is being tested.Qualitative data's description cannot be describe in numbers. Quantitative data's description ca only be described in numbers.
What does ordinal data mean?
There are four levels of measures, one of them being ordinal. Ordinal data merely orders subjects according to a certain rationale. Numbers indicates a position, indicating that the individual or object possesses more or less of the studied characteristic. As such, an example of ordinal data would be to put all the students in a classroom in order of height, or according to their average in mathematics. However, as we can see, this would not allow to know the height or average of the students. It also doesn't indicate the quantitative difference between each rank. As a consequence, the difference between two ranks does not mean there is a significant difference on what is measured. (Example:1st:95%, 2nd:90%, 3rd: 89%. We would not know the average, only the rank. Also, as we can see, between the first and second rank there is a 5% difference, whereas there is only a 1% difference between the second and third rank.)
What are discrete quantitive data?
First let's look at what quantitative data is.Quantitative data are numeric.Discrete data are numeric data that have a finite number of possible values.So it is numerical data that can only have a finite number of possible values.One often used example of discrete quantitative data is the number 1,2 3, and 4 corresponding to strongly agree, agree, neutral, and don't agree,
What if the data doesnt have a median how do we make a box and whisker plot?
If the data are quantitative they must have a median. If there is no median it is only because the data are qualitative and, in that case, a box and whiskers plot is meaningless.
