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
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 maximum number of significant digits in value belonging to the double type is 15. The maximum number of significant digits is called the precision.
The word for a statement that is true for any number or variable is a "universal statement" or a "universal quantification." In mathematical logic, this type of statement is typically denoted using the universal quantifier symbol (∀), which signifies "for all" or "for every." Universal statements are used to make generalizations that apply to all elements in a given set or domain.
'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.
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.
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
A qualitative variable: such as your favourite fruit.
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.
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).
Household income is a quantitative variable, specifically a continuous variable, since it can take on a wide range of numerical values.
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.
A scatter graph.