Data (IB)

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19 Terms

1
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What are the two main categories of data?

Qualitative and quantitative data

2
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Define qualitative data

Descriptive and conceptual information that is not easily reduced to numbers, including text, images, audio, and video

3
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What are the two types of quantitative data?

Discrete data (countable) and continuous data (measurable)

4
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Give an example of qualitative data

Customer feedback collected through open-ended survey questions, e.g., 'The product is very user-friendly'

5
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Give an example of quantitative data

The number of visitors to a website per day, e.g., 500 visitors

6
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List four common data collection methods

Surveys and questionnaires, observations, experiments, and secondary data

7
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What is secondary data?

Information collected by someone else for a different purpose but utilized for a new analysis

8
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Name three common data storage methods

Databases, cloud storage, and local storage

9
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What are the two main types of databases?

Relational (SQL) and non-relational (NoSQL) databases

10
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What is a potential risk of relying solely on local storage?

Data loss in case of hardware failure

11
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What are the four key measures in descriptive statistics?

Mean, median, mode, and standard deviation

12
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What is inferential statistics used for?

To make predictions or inferences about a population based on a sample of data

13
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Name three techniques used in inferential statistics

Hypothesis testing, regression analysis, and correlation

14
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Why is data visualization important?

It helps to communicate findings effectively through charts, graphs, and maps

15
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Name three tools useful for creating data visualizations

Tableau, Power BI, and Excel

16
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What are the three key ethical considerations when handling data?

Privacy, consent, and transparency

17
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How can privacy be respected when handling data?

By anonymizing data and protecting personal information

18
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What is the importance of obtaining informed consent?

To ensure ethical data collection and respect for participants' rights

19
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What are the potential consequences of ethical breaches in data handling?

Legal consequences and loss of trust