## Why we use double data type?

# Why we use double data type?

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## Why we use double data type?

Double is more precise than float and can store 64 bits, double of the number of bits float can store. Double is more precise and for storing large numbers, we prefer double over float. For example, to store the annual salary of the CEO of a company, double will be a more accurate choice.

## What is difference between double and float?

While float has 32 bit precision for floating number (8 bits for the exponent, and 23* for the value), i.e. float has 7 decimal digits of precision. As double has more precision as compare to that of flot then it is much obvious that it occupies twice memory as occupies by the float data type.

## What is data gathering process?

Data Collection. Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes.

## What is data type float?

The FLOAT data type stores double-precision floating-point numbers with up to 17 significant digits. FLOAT corresponds to IEEE 4-byte floating-point, and to the double data type in C. The range of values for the FLOAT data type is the same as the range of the C double data type on your computer.

## How do you create a data gathering procedure?

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- Step 1: Identify issues and/or opportunities for collecting data.
- Step 2: Select issue(s) and/or opportunity(ies) and set goals.
- Step 3: Plan an approach and methods.
- Step 4: Collect data.
- Step 5: Analyze and interpret data.
- Step 6: Act on results.

## What is double in database?

DOUBLE(size, d) A normal-size floating point number. The total number of digits is specified in size. The number of digits after the decimal point is specified in the d parameter. DOUBLE PRECISION(size, d)

## What are sources of data?

Following are the two sources of data:

- Internal Source. When data are collected from reports and records of the organisation itself, it is known as the internal source.
- External Source. When data are collected from outside the organisation, it is known as the external source.