Why do we use number bases like binary (base-2) in computers instead of the familiar decimal (base-10)?
Question 2
2.
How would a base-3 or base-5 system change how data is represented and stored in a computer? Explain to the best of your knowkledge
Question 3
3.
Imagine you are compressing an image with lossy compression. How would you decide which data to remove? What factors would you consider to minimize the loss of quality in the image?. Note, we have two questions here!!!!
Question 4
4.
You’re given a dataset with some entries having missing values. Explain how “data cleaning” can handle this issue and name at least two different methods for managing the missing values.
Question 5
5.
Why is metadata important in managing large data sets? Give an example of metadata that would help organize or locate a specific photo within a large collection.
Question 6
6.
You’re building a digital storage system, and a user enters data that exceeds your system’s byte limit. Explain what an overflow error is and discuss one strategy to prevent this error from occurring.
Question 7
7.
If a program is designed to handle text data (strings) and suddenly receives numeric data (integers), what kinds of issues might arise? How could data types prevent these issues in programming?
Question 8
8.
Suppose you compress a document using both lossy and lossless methods. How would the outcome differ, and in which scenarios would each method be preferred?
Question 9
9.
In a study collecting primary data, what could be some sources of data bias? Suggest a way to reduce one type of data bias in a survey.
Question 10
10.
Why might data cleaning be especially challenging with large datasets? List two potential pitfalls when cleaning data and explain how they might impact analysis results.
Question 11
11.
What is data compression? Please give an in depth explanation !!!!
Question 12
12.
Describe a situation where data compression is essential. What trade-offs must be considered when using data compression for transmitting or storing information?
Question 13
13.
In binary data, if you add 1 to the binary number 11111111 (8 bits), what happens? How does this demonstrate the concept of overflow, and how might it be prevented in digital systems?
Question 14
14.
When downloading a desktop app for you PC, You discovered that you have a choice of 32 bits or 64 bit. What does this imply? What would happen if i download a 64 bit whereas my PC uses 32bit?
Question 15
15.
I have a file on my PC named school.txt: It contains a single string "Aggieland Highschool". What would be the approximate file size of this file in bytes and in bits?
Question 16
16.
If a particular digital file was created on January 1, 2020, and last modified on October 31, 2024, how can this metadata be useful for someone trying to find the most current version of a document?
Question 17
17.
When processing digital data, what challenges can arise from overflow errors, and what are the potential consequences for calculations in financial or scientific applications?
Question 18
18.
Why might it be risky to assume that primary data collected from a small sample represents a larger population? How does this relate to data bias?
Question 19
19.
Give an in depth explanation to differentiate between the words: Data and Information