AP CSP - Unit 5 Data Review

What is a data set?

• A data set is a collection of unrelated data points.

• A data set is a collection of related data points or values that can be analyzed.

• A data set is a single data point used for analysis.

• A data set is a type of software used for data management.

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What is the difference between qualitative and quantitative data?

• Qualitative data involves numerical values that can be measured, while quantitative data describes characteristics or qualities.

• Qualitative data describes characteristics or qualities, while quantitative data involves numerical values that can be measured.

• Qualitative data is always more accurate than quantitative data.

• Quantitative data is subjective, while qualitative data is objective.

What is a data trend?

• A data trend is a specific value at a given time.

• A data trend is a general direction in which something is developing or changing over time.

• A data trend is a random fluctuation in data points.

• A data trend is a method of data collection.

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Why are graphs important in data analysis?

• Graphs help in visualizing data, making it easier to interpret values, trends, and proportions.

• Graphs are only used for aesthetic purposes and do not provide any analytical value.

• Graphs can replace the need for statistical analysis entirely.

• Graphs are primarily used to display text data rather than numerical data.

What is the significance of open data?

• Open data is data that is kept private and confidential.

• Open data refers to data that is made publicly available for anyone to use and analyze, promoting transparency and innovation.

• Open data is only accessible to government agencies.

• Open data is a type of data that is only used for commercial purposes.

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What is metadata?

• Data that provides information about other data, such as its source, format, and context.

• A type of software used for data analysis.

• A method of data encryption.

• A database management system.

What type of data can be derived from an e-commerce database?

• Price, colors, quantity available, and customer comments

• Seasonal popularity of colors

• Customer demographics and purchase history

• Shipping costs and delivery times

What is the purpose of data visualization?

• To represent data in a visual context, making it easier to understand patterns, trends, and insights.

• To store data in a database for future retrieval.

• To analyze data using complex algorithms and statistical methods.

• To create textual reports that summarize data findings.

What is a correlation in data analysis?

• A method to collect data from multiple sources.

• A statistical relationship between two variables, indicating how one may change in relation to the other.

• A technique used to visualize data trends over time.

• A process of cleaning and organizing data for analysis.

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What does it mean to filter data?

• Filtering data involves selecting a subset of data based on specific criteria to focus on relevant information.

• Filtering data means deleting unnecessary data from a database.

• Filtering data refers to the process of backing up data to prevent loss.

• Filtering data is the act of compressing data to save storage space.