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Technically, the answer is zero. Since zero times anything is always zero, the smallest product that can be made is always zero no matter what other factors are at play.

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Michael Scalise

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3y ago

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How do you write binary numbers in scientific notation?

To write binary numbers in scientific notation, you express the number in the form of ( m \times 2^n ), where ( m ) is a binary number between 1.0 and 1.111... (which is the binary equivalent of 1), and ( n ) is an integer representing the exponent. For example, the binary number 101100 can be written as 1.01100 × 2^5. You shift the binary point to the right of the leading 1 and adjust the exponent accordingly.


What is the smallest raised number in a power that tells how many times the base is used as a factor?

The exponent.


Do you express scientific notation?

Scientific Notation is expressed by using a number, using an exponent as a number (usually a decimal) multiplied by a 10, and an exponent (the number on the exponent is the number of zeros the number has).Example: 120,000,000 in scientific notation is 1.2 X 107


What is the exponent in a number expressed in scientific notation called?

It is called the exponent.


What is the smallest number that can be represented as binary?

0


What is the largest binary number that can be obtained with 64 bits?

the largest binary number is 1.84467440737e19. to figure this out you put 2 to the exponent of the certain amount of bits. Eg: 2^64 equals the binary number


What is the value of the exponent in the scientific notation expression for the number 6140000000?

The value of the exponent is 9: (6,140,000,000 in Scientific Notation = 6.14 x 109)


If a number written in scientific notation was doubled would the exponent change?

Te exponent would not change if the number is less than 5.


How do you compare expressions in scientific notation?

A number with a small exponent is smaller than a number with a large exponent. If two numbers have the same exponent then compare the mantissae. The smaller mantissa represents the smaller number.


What is the smallest number that can be represented by a 16-bit unsigned binary number?

The smallest number that can be represented by a 16-bit unsigned binary number is 0. In a 16-bit unsigned binary system, all bits can be set to 0, which corresponds to the decimal value of 0. The range of values for a 16-bit unsigned binary number is from 0 to 65,535.


What is 97 in binary code?

You can easily convert decimal to binary in the scientific calculator - for example, the scientific calculator found in Windows. In this case, type the number in decimal, then click on "binary" to convert to binary.


Clearly explain the functions that the mantissa and exponent have in floating point number?

Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.