What is a variable in statistics class 11?

A variable is a characteristic which is capable of being measured and capable of change in its value from time to time. Basis of classification: Raw data can be classified as: 1.

What is a variable class 11?

A measurable characteristic whose value changes overtime is called variable. It refers to that quantity which keeps on changing and which can be measured by some unit. For example, if we measure the height of students of a class, then height is regarded as a variable.

What is meant by variable in Statistics?

A variable is any characteristics, number, or quantity that can be measured or counted. A variable may also be called a data item. Age, sex, business income and expenses, country of birth, capital expenditure, class grades, eye colour and vehicle type are examples of variables.

What is a variable characteristic in Statistics class 11?

Concept of Variable A characteristic or a phenomenon which is capable of being measured and changes its value overtime is called a variable. The variable may be either discrete or continuous. Discrete Variable These are those variables that increase in jumps or in compete numbers.

What is a variable distinguish?

A measurable characteristic which takes different value at different points of time and in different circumstance is called a variable. Different variable vary differently and depending on the way they vary, they are broadly classified into two types.

Variable - Organisation of Data | Class 11 Economics - Statistics

What are continuous variables Class 11?

If a variable can take on two or more distinct real values so that it can also take all real values between them (even values that are randomly close together). In this case, the variable is continuous in the given interval.

What is variable difference between discrete and continuous?

Discrete and continuous variables are two types of quantitative variables: Discrete variables represent counts (e.g. the number of objects in a collection). Continuous variables represent measurable amounts (e.g. water volume or weight).

What are the two types of statistical variables?

Variables may be classified into two main categories: categorical and numeric.

What kind of variable is time?

Continuous variable: a variable with infinite number of values, like “time” or “weight”.

What are the variables in economics?

There are three variables in economics: GDP ( gross domestic product ), the unemployment rate, and the inflation rate.

What are variables and constants?

Variables are specially written in letters or symbols. Constants usually represent the known values in an equation, expression or in line of programming. Variables, on the other hand, represent the unknown values. Constants are used in computer programming.

What is a variable in math?

variable, In algebra, a symbol (usually a letter) standing in for an unknown numerical value in an equation. Commonly used variables include x and y (real-number unknowns), z (complex-number unknowns), t (time), r (radius), and s (arc length).

Why is variable important in statistics?

The importance of variables is that they help in operationalization of concepts for data collection. For example, if you want to do an experiment based on the severity of urticaria, one option would be to measure the severity using a scale to grade severity of itching. This becomes an operational variable.

What are the types of variables Class 11?

Answer. Explanation: A variable can be either discrete or continuous. A variable that takes only whole number as its value is called discrete variable.

What are the 5 types of variables?

There are different types of variables and having their influence differently in a study viz. Independent & dependent variables, Active and attribute variables, Continuous, discrete and categorical variable, Extraneous variables and Demographic variables.

What is nominal in statistics?

Nominal data is data that can be labelled or classified into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way. For example, for the nominal variable of preferred mode of transportation, you may have the categories of car, bus, train, tram or bicycle.

What is nominal and ordinal?

Nominal data is classified without a natural order or rank, whereas ordinal data has a predetermined or natural order. On the other hand, numerical or quantitative data will always be a number that can be measured.

What is dependent variable and independent variable in statistics?

The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable.

What is variable in statistics PPT?

1. Variable is any characteristic of an individual. It can take on different values for different individuals. Quantitative •Discrete •Continuous Qualitative •Ordinal •Categorical.

What are the 3 types of variables?

A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by the scientist.

How do you classify a variable?

Classifying variables can be somewhat contentious. Standard statistical textbooks will state that variables can be broadly classified as categorical or continuous. Categorical variables can be further categorised into nominal (e.g. ethnic group), ordinal (e.g. tumour staging) and dichotomous (e.g. sex).

What is discrete in statistics?

A discrete distribution is one in which the data can only take on certain values, for example integers. A continuous distribution is one in which data can take on any value within a specified range (which may be infinite).

How many types of variables are there?

Every experiment has at least two variables—an independent variable and a dependent variable. The independent variable is what you are testing, and the dependent variable is the result. Any other variables in your experiment build on or affect the independent or dependent variables.

What is qualitative variable in statistics?

Qualitative Variables - Variables that are not measurement variables. Their values do not result from measuring or counting. Examples: hair color, religion, political party, profession. Designator - Values that are used to identify individuals in a table.