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.
A real variable is a quantitative measure that can take on a wide range of numerical values, allowing for meaningful mathematical operations such as addition and subtraction; examples include height, weight, and temperature. In contrast, a nominal variable is a categorical measure that represents distinct categories without any inherent order or ranking; examples include gender, nationality, and colors. Essentially, real variables express quantities, while nominal variables classify data into groups.
The least level of measurement for a mode is the nominal level. In nominal measurement, data is categorized without a specific order, allowing for the identification of the most frequently occurring category, which is the mode. Examples include categorical data like colors, types of animals, or brands, where the mode represents the most common category.
Race, Sex, Age group, education level, hair color... Good examples but we might elaborate: we may give categories names. Take for example the variable, hair color. We might name each of the categories like this: red, blonde, black, etc. In this case we would have nominal categorical variables. Further we can think or categorical variables as being ordered such as income level: high, medium, low, very low or socioeconomic class: low, middle, high. These are called ordinal categorical variables because they represent levels and are grouped in levels say from high to low. As another example you might group temperature levels (categories) as cold, cool, warm and hot. So you have nominal categorical variables and ordinal categorical variables. We like to put things into categories. We have classrooms, offices, addresses, etc. We have grade levels in school. What type of categorical variables is "grade"? I graduated from the 3rd grade but my father graduated from the sixth grade. Who has the highest level of education? Why do we categorize things in the world? We group things so we can make sense of the diversity around us. We catgorize animals into species; we even name people when they are born. Is a person's name a variable? Sure is! It's nominal variable. Why is a person's name a variable? Because name changes or varies from person to person. What about the number of people in a classroom. Is that a categorical variable?name of the school
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc
It depends on how the variable is used. At its simplest, it would be a nominal or categorical value but, if used as part of a time series, it would be an ordinal variable.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
Nominal (categorical), and Dependent (it is measured and accounted for, but a researcher cannot manipulate gender).
Examples of nominal accounts are losses and expenses of gains or income.
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 real variable is a quantitative measure that can take on a wide range of numerical values, allowing for meaningful mathematical operations such as addition and subtraction; examples include height, weight, and temperature. In contrast, a nominal variable is a categorical measure that represents distinct categories without any inherent order or ranking; examples include gender, nationality, and colors. Essentially, real variables express quantities, while nominal variables classify data into groups.
The least level of measurement for a mode is the nominal level. In nominal measurement, data is categorized without a specific order, allowing for the identification of the most frequently occurring category, which is the mode. Examples include categorical data like colors, types of animals, or brands, where the mode represents the most common category.
Race, Sex, Age group, education level, hair color... Good examples but we might elaborate: we may give categories names. Take for example the variable, hair color. We might name each of the categories like this: red, blonde, black, etc. In this case we would have nominal categorical variables. Further we can think or categorical variables as being ordered such as income level: high, medium, low, very low or socioeconomic class: low, middle, high. These are called ordinal categorical variables because they represent levels and are grouped in levels say from high to low. As another example you might group temperature levels (categories) as cold, cool, warm and hot. So you have nominal categorical variables and ordinal categorical variables. We like to put things into categories. We have classrooms, offices, addresses, etc. We have grade levels in school. What type of categorical variables is "grade"? I graduated from the 3rd grade but my father graduated from the sixth grade. Who has the highest level of education? Why do we categorize things in the world? We group things so we can make sense of the diversity around us. We catgorize animals into species; we even name people when they are born. Is a person's name a variable? Sure is! It's nominal variable. Why is a person's name a variable? Because name changes or varies from person to person. What about the number of people in a classroom. Is that a categorical variable?name of the school
Yes, a phone number is considered a nominal variable in statistics. Nominal variables are categorical data that represent distinct categories without a meaningful order or ranking. Since phone numbers are used to identify individuals or entities and do not have inherent numerical value or order, they fit this classification.
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.
Yes, race is considered a categorical variable because it represents distinct groups or categories based on shared physical, cultural, or social characteristics. Categorical variables can be nominal, where there is no inherent order (e.g., different racial groups), or ordinal, where categories have a meaningful order. In statistical analysis, race is often used to categorize individuals for various studies and comparisons.