yes
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.
no
a descriptive investigation is a scientific ivestigation that collects data which measure or decribe objects or events. it collects qualitative & quantitative data. it includes a question, but no hypothesis ; no variables are manipulated .
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
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.
Qualitative variables are variables that are used to categorize data based on characteristics or qualities, such as color, gender, or type of vehicle. They are non-numeric and are used to label or describe observations rather than measure them.
to quantify the qualitative variables.
Qualitative and quanitative are two types of variables.
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.
Qualitative research typically does not use independent and dependent variables in the same way that quantitative research does. Instead, it focuses on understanding phenomena through themes, experiences, or meanings derived from data, such as interviews or observations. The goal is to explore complex issues in depth rather than to measure relationships between specific variables. However, qualitative studies may still involve concepts that can inform or contextualize variables in a broader research framework.
No, it is quantitative.
Yes, the mode is considered a qualitative measure when applied to categorical data. It represents the most frequently occurring category or value within a dataset, which can be particularly useful for analyzing non-numeric variables. However, it can also be applied to quantitative data, making it a versatile measure of central tendency.
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.
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
A qualitative variable, also known as a categorical variable, refers to a type of variable that describes non-numeric characteristics or attributes. These variables can be divided into distinct categories based on qualitative traits, such as colors, names, or labels. For example, variables like gender, marital status, or types of cuisine are qualitative. Unlike quantitative variables, they do not have a numerical value or order.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
In qualitative studies, variables are the concepts or factors that are being studied. These variables are often abstract and subjective in nature, such as beliefs, experiences, or feelings. Researchers aim to understand the relationship or connections between these variables through in-depth analysis and interpretation.