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.
Categorical variables are variables that represent categories or groups. They are qualitative in nature and can take on values that are in a finite set of distinct categories, but do not have a inherent order or numerical significance. Examples include color (red, blue, green) or gender (male, female).
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 scatter graph.
You're probably used to the word "variable" in algebra. Letters like x and y are used in place of numbers. Twotypes of variables are used in statistics: Quantitative and categorical. Quantitative variables are numerical: counts, percents, or numbers. Categorical variables are descriptions of groups or things, like "breeds of dog" or "voting preference".Examples of Quantitative Variables:High school Grade Point Average.Number of pets owned.Bank account balance.Number of stars in a solar system.Average number of lottery tickets sold.How many cousins you have.The amount in your paycheck.General rule: if you can add it, it's quantitative. For example, a G.P.A. of 3.3 and a G.P.A. of 4.0 can be added together (3.3 + 4.0 = 7.3), so that means it's quantitative.Examples of Categorical Variables:Class in college (freshman, sophomore, junior, senior).Party affiliation (Republican, Democrat, Independent).Type of pet owned (dog, cat, rodent, fish).Favorite author.Preferred airline.Hair color.Your race.Types of hats.As a general rule, if you can't add something, then it's categorical. For example, you can't add cat + dog, or Republican + Democrat.
bar graphs use categorical data