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Which descriptive statistics are appropriate for qualitative variables and what are appropriate for quantitative variables and why?
For qualitative variables, appropriate descriptive statistics include frequencies and proportions, as they help summarize categorical data and show the distribution of different categories. For quantitative variables, measures such as mean, median, mode, range, variance, and standard deviation are suitable because they provide insights into the central tendency, spread, and overall distribution of numerical data. The choice of statistics depends on the nature of the data: qualitative data is categorical and non-numeric, while quantitative data is numeric and can be measured.
Are data at the nominal level of measurement qualitative or quantitative?
This kind of data is qualitative, meaning it is an observation of a particular facet of the observed thing. Quantitative date is numerically-based.
Difference between quantitative and qualitative traits?
Quantitative means it can be measured. Qualitative is something that is subjective meaning there is no way to really measure it. Example: Quantitative: 2=2=4 This is always true. Qualitative: Puppies are cute. (this is only an opinion. No facts)
What measures the strength of the linear relationship between two quantitative variables?
The strength of the linear relationship between two quantitative variables is measured by the correlation coefficient. The correlation coefficient, denoted by "r," ranges from -1 to 1. A value of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship. The closer the absolute value of the correlation coefficient is to 1, the stronger the linear relationship between the variables.
Is the students age qualitative or quantitative?
It is quantitative.
What is the meaning of quantitation?
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
Quantitative variables can be separated into what two types?
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Does a crosstabulation have to have both categorical and quantitative?
No, a crosstabulation does not have to include both categorical and quantitative variables. It is primarily used to summarize the relationship between two categorical variables. However, quantitative variables can be categorized into groups or bins to create a crosstabulation, but it's not a requirement.
Is cellphone number a qualitative variables?
No, it is quantitative.
How to graph independent and dependent variables?
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Quantitative variables use which two levels of measurement?
Interval and ratio
A graphical presentation of the relationship between two quantitative variables is?
A scatter diagram.
Does qualitative research not control variables?
In qualitative research, researchers do not typically control variables in the same way as in quantitative research. Instead, they aim to explore and understand the complexities and nuances of a phenomenon without manipulating variables. The focus is on gaining in-depth insights and understanding the context in which the research is conducted.
What data can be referred to things that can be counted?
A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.
What is the meaning of declare value?
When forming a hypothesis for quantitative research, a declarative hypothesis states the expected relation between variables, whereas a null hypothesis states that there is no significant relation.
Is anova qualitative or quantitative?
! ANOVA is generally computed for two or more QUANTITATIVE variables. If the quantitative variables are two or less in number, people prefer the t test (one sample t, paired t, or independent samples t) The Independent variable however is qualitative( for example, Girls and boys or Names of Schools.) It is the dependent variable that is Quantitative (for example, the ages - 2, 5 , 70, etc or weight or number of somethings). If you have 2 independent variables, you go for the two way ANOVA. Else, it's the one way ANOVA. !
Does quantitative research typically use independent and dependent variables?
Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).
