1.
______________ can be defined as pictures, numbers, or words with no context.
Correct Answer
A. Data
Explanation
Data can be defined as pictures, numbers, or words with no context. It refers to raw facts or observations that have not been organized or processed in any meaningful way. Data by itself does not provide any understanding or meaning, and it requires further analysis and interpretation to become useful information or knowledge. Therefore, data without context lacks any meaningful explanation or interpretation.
2.
When data has a meaning for the recipient, it is known as _________.
Correct Answer
B. Information
Explanation
When data has a meaning for the recipient, it is known as information. Data by itself is raw and unprocessed, but when it is organized, analyzed, and interpreted, it becomes meaningful and useful to the recipient. Information provides context and understanding, allowing individuals to make informed decisions and take appropriate actions based on the data presented.
3.
Which of these is a type of data?
Correct Answer
C. Both A & B
Explanation
Both quantitative and qualitative data are types of data. Quantitative data refers to numerical data that can be measured and expressed in numbers, such as age, height, or income. On the other hand, qualitative data refers to non-numerical data that is descriptive, such as opinions, observations, or interviews. Therefore, the correct answer is "Both A & B" because quantitative and qualitative data are data types.
4.
Which of these statements is true?
Correct Answer
B. Data is a part of information.
Explanation
Data and information are often used interchangeably, but they have different meanings. Data refers to raw facts or figures that are collected, while information is the processed and organized form of data that provides meaning and context. Therefore, data is a part of information because data needs to be processed and organized to become meaningful information.
5.
The data has to be converted into information for its usefulness.
Correct Answer
A. True
Explanation
The statement is true because data, in its raw form, lacks context and meaning. It is necessary to process and analyze the data to extract relevant patterns, insights, and conclusions, thus converting it into meaningful information. This information can then be used for decision-making, problem-solving, and gaining knowledge. Without this conversion, data remains unorganized and lacks practical value.
6.
The data that expresses or shows a certain amount is an example of quantitative data.
Correct Answer
A. True
Explanation
Quantitative data refers to information that can be measured or expressed numerically. In this case, the data mentioned in the question is described as expressing or showing a certain amount, which implies that it can be quantified. Therefore, it can be concluded that the given statement is true, as the data described is an example of quantitative data.
7.
Which of these is an example of data?
Correct Answer
D. All of these
Explanation
All of these options are examples of data. Data refers to any information or facts that can be collected and stored. Dates, prices, and costs are all specific types of data that can be recorded and analyzed. Therefore, all of these options can be considered examples of data.
8.
What of these is an example of information?
Correct Answer
D. All of these
Explanation
All of the options provided (report card, receipt, and identity card) can be considered examples of information. A report card contains information about a student's academic performance, a receipt contains information about a transaction, and an identity card contains personal information about an individual. Therefore, all of these options can be classified as examples of information.
9.
Which of the following best describes the relationship between data and information?
Correct Answer
B. Information is processed data.
Explanation
Data is raw, unorganized facts and figures. When data is processed, organized, structured, or interpreted in a way that gives it meaning and context, it becomes information. Information is useful for decision-making, analysis, and understanding patterns.
10.
What type of data is the first rank in school?
Correct Answer
C. Ordinal
Explanation
The first rank in school is an example of ordinal data. Ordinal data is a type of categorical data where the values have a specific order or ranking. In this case, the ranks in school have a clear order from first to last.