Returns TRUE if the first number equals the second number, otherwise FALSE
EQ(numberOne, numberTwo)
You could use "=" instead, either way works.
Example:
If numberOne contains 2 and numberTwo contains 2:
EQ(2, 2) or 2 = 2
returns TRUE
If numberOne contains 3 and numberTwo contains 2:
EQ(3, 2) or 3 = 2
returns FALSE
numberOne:
numberTwo:
Result:
Quality Control Inspection
An EQ (Equal) function is commonly used in quality control and data validation to check if a specific condition is met.
Imagine a manufacturing company, "Widgets Inc.," that produces a particular type of bolt. The quality control standard for this bolt dictates that the length must be exactly 50 mm. A quality control inspector takes a sample of bolts and measures their lengths.
The company wants to quickly identify which bolts pass the inspection (i.e., have a length of 50 mm) and which ones fail.
An EQ function is perfect for this task. It compares the measured length of each bolt to the required length (50 mm) and returns TRUE if they are equal, indicating the bolt passed, and FALSE if they are not, indicating the bolt failed.
Function: EQ(measured_length, required_length)
Table:
Bolt ID | Measured Length (mm) | Required Length (mm) | EQ(Measured Length, Required Length) | Quality Check Result | ||
|---|---|---|---|---|---|---|
A | B | C | D | E | ||
1 | B-001 | 50 | 50 | TRUE | Pass | |
2 | B-002 | 49.8 | 50 | FALSE | Fail | |
3 | B-003 | 50 | 50 | TRUE | Pass | |
4 | B-004 | 50.1 | 50 | FALSE | Fail | |
5 | B-005 | 50 | 50 | TRUE | Pass | |
6 | B-006 | 49.9 | 50 | FALSE | Fail | |
7 | B-007 | 50 | 50 | TRUE | Pass |
In this table, the EQ function is applied to each row. For each bolt, the function compares the value in the "Measured Length" column to the value in the "Required Length" column (which is 50 for all bolts). The "Quality Check Result" column is then populated based on the TRUE or FALSE output of the EQ function. This provides a clear and automated way to determine which products meet the quality standard.
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