Categorical.
Neither, since it is "qualitative data", not "quantitative". Only quantitative data can be discrete or continuous. (Unless your assigning a numerical "value" to each nationality type, in which case it would be quantitative discrete). Answer 2: If considering the percentage, eg 100% Irish, 50% Irish, etc., then it is theoretically a continuous variable, assuming an infinite number of generations. However, in terms of currently existing and past living people, for any nationality, it is a discrete variable.
continuous
A comparative variable is a variable used in research or analysis to compare different groups or conditions. It allows for the assessment of differences or similarities between these groups, helping to draw conclusions about the effects of certain factors. This type of variable is often employed in experiments, surveys, and statistical analyses to highlight relationships and outcomes. By examining comparative variables, researchers can better understand the impact of specific interventions or characteristics.
Question 2 of 9Fill in the blank: Type your answer in the box and then click "submit."Translate the phrase into a variable expression. Use the letter p to name the variable. If necessary, use the asterisk ( * ) for multiplication and the slash ( / ) for division.... the total number of pages plus the 6 in the introduction ...Answer: FeedbackThe correct answer is: p + 6.Click Next to Continue
The data type you are referring to is typically called a "text" or "blob" type in databases. In SQL, for example, types like TEXT or VARCHAR (with a specified length greater than 255) can store variable-length strings. These types are capable of holding large amounts of text or a combination of text and numbers, making them suitable for storing longer entries like descriptions or notes.
Yeah that's a question online in your stats class. Read it more carefully. They are asking if Major (area of study) is a quantitative or categorical type of data Answer: Categorical.
'Quantitative' has to do with the answer to the question, "How much, or how many?" 'Categorical' has to do with the answer to the question, "What kind?" 'Type of wood' would fall under the latter category.
Color is considered a categorical variable.
A qualitative variable is a variable that has categorized values and the difference cannot be measured. A quantitative variable is a variable that consist of ordinary values and the difference can be measured. Depending on the type of class rank it can be both qualitative as quantitative.
continuous discrete
To determine whether the independent variable is continuous or categorical, you need to consider its nature. A continuous variable can take on an infinite number of values within a given range, such as height or temperature. In contrast, a categorical variable consists of distinct categories or groups, such as gender or type of cuisine. The classification depends on how the variable is measured and the context of the study.
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.
A qualitative variable: such as your favourite fruit.
Categorical variables take on a limited and at times a fixed number of value possibilities. If in fields such as Compute Science or Mathematics, they are referred to as enumerated types. In some cases possible values of a variable may be classified as levels.
Nominal (categorical), and Dependent (it is measured and accounted for, but a researcher cannot manipulate gender).
A nominal variable is a type of categorical variable that represents distinct categories without any inherent order or ranking. Examples include gender, nationality, or favorite color, where the values serve to label different groups. Since nominal variables do not have a quantitative value, statistical analysis typically involves counting occurrences or determining proportions within each category.
Household income is a quantitative variable, specifically a continuous variable, since it can take on a wide range of numerical values.