Understanding Data Types for Numerical Values

In programming, data types define the type of data a variable can hold. Different types are used for different kinds of values, such as whole numbers, decimal numbers, text, or true/false values.

The question asks which data type represents the value \(136.24\). This value is a number that includes a fractional part, indicated by the decimal point.

Analyzing the Data Type Options

• Int: The Int data type is used to store integer values, which are whole numbers (positive, negative, or zero) without any decimal part. Examples include \(5\), \(-10\), and \(0\). Since \(136.24\) has a decimal part, it cannot be stored directly as an Int.
• Bool: The Bool (Boolean) data type is used to store logical values, specifically true or false. It is used to represent the truth value of expressions or conditions. The value \(136.24\) is a number, not a logical value, so it cannot be stored as a Bool.
• Void: The Void type indicates the absence of a type or value. It is typically used in function signatures to specify that a function does not return a value, or as a pointer type that can point to any data type (void pointer). It is not a data type used to store numerical values like \(136.24\).
• Double: The Double data type is a floating-point data type used to store numbers that have a decimal point. It typically stores numbers with high precision, allowing for fractional values. Examples include \(3.14\), \(-0.5\), and \(136.24\). This data type is suitable for representing values like \(136.24\).

Identifying the Correct Data Type

Based on the analysis of the options, the value \(136.24\) is a number with a decimal part. Data types designed to handle such numbers are called floating-point types. Among the given options, Double is the standard data type used for representing floating-point numbers, especially when higher precision is required.

Therefore, the data type that represents the value \(136.24\) is Double.

Revision Table: Common Data Types

Additional Information on Floating-Point Types

While Double is a common data type for numbers with decimal points, another important one is Float. The primary difference lies in their precision and storage size:

• Float (Single-Precision): Uses less memory but offers lower precision (fewer decimal places can be stored accurately).
• Double (Double-Precision): Uses more memory but offers higher precision (more decimal places can be stored accurately).

For most general-purpose calculations involving numbers with decimal points, Double is often preferred due to its higher precision, unless memory usage is a critical constraint.