Answer:
You'd use an if statement if something happens. What I mean is that {If this happens} Then that happens but if the if doesnt happen then the then doesnt happen
Explanation:
OMR, OCR and MICR are all types of character and mark recognition devices. They are scanners <span>that are able to recognize special </span>characters and marks<span>.
</span>OMR stands for Optical Mark Recognition,which <span>senses the presence or absence of a mark.</span>
OCR stands for Optical Character recognition, which reads special preprinted characters by light source.<span>
MICR stands for Magnetic Ink Character Recognition, where </span><span>machine reads character made of ink containing magnetized particles.
</span>
Well if you put sad/mad/scared/tired/ect it should pop up with the same person.
Answer:
Program
Explanation:
Program is like a set of instructions that helps hardware process data into information.
Every hardware needs a program to process data into information.
For example take the example of a data processing software like MS Excel.
You open a spreadsheet and enter some data into your sheet. and then ask the program to do some calculations with this data and give you output results. The spreadsheet software does this processing in the background for you and provides you the results.
Without program a hardware doesn't know what to do with the data. Therefore, a program is like a instruction set that guides the hardware what to do with the data.
Note: The terms software and program are usually used together but there is a difference between software and program
A software is a generalized term and program is more like a specific term.
software can be made up of several different programs which performs many different tasks. On the other hand, a program only carry out a specific task or set of instructions.
Answer:
c. Skewness
Explanation:
Cluster analysis involves analyzing a set of object by grouping the set of objects in such a way that objects in the one group or cluster are more similar to each other than to those in other groups or clusters. The characteristics of data that can strongly affect cluster analysis includes the size, sparseness, scale, etc.
