Answer:
Have a talk with your teacher. Ask why she doesn't believe you, and if it still doesn't work, have a talk with someone that can physically help you - a principle or another teacher may be the best solution.
Answer:
C) Computer-aided Design
Explanation:
Options:
a. Computer-aided engineering
b. Computer-aided evaluation
c. Computer-aided design
d. Computer-aided manufacturing
C) Computer-aided design is correct answer
(Hope this helps can I pls have brainlist (crown)☺️)
The way sampling is used to store audio recordings are:
- Sound capture.
- converting digital signal.
- sound wave capture, etc.
<h3>How is sampling used to store audio recordings?</h3>
In this process, sound is taken in by the use of a microphone and so it is later converted into a digital signal.
Note that an analogue-to-digital converter is often used to taken in or capture a sound wave at frequent time intervals. This recording is then regarded as a sample and the data is stored in a file for future use.
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Answer: Web authoring
Explanation:
Here's the complete question:
General-purpose applications include all of the following except:
Select one:
a. web authoring
b. word processors
c. spreadsheets
d. database management systems
General purpose application refers to the application which can be used for different tasks. Examples of General purpose application are Spreadsheet, Word processors, Presentation software, Database management system etc.
The general purpose applications are quite different from the specialized application which focuses on a particular discipline. Therefore, the option that isn't a general purpose application is the web authoring.
Answer: Rate
Explanation:
- Rate is the one that is used to describe the number of legitimate users who are denied access because there is a failure happening in the biometric device and that type of failure is also known as Type I Error.
When it comes to hypothesis testing we can say that this kind of error is considering the rejection of the null hypothesis. On the other side, there is also Type II Error who is not rejecting the false null hypothesis and it is the opposite of a Type I Error.
