Data Collection Methods Quiz

Which of the following data collection methods involves actively participating in the environment being studied?

What is a potential drawback of conducting online surveys?

Which data collection method is most suitable for gathering in-depth understanding of a specific topic?

What is a key characteristic of an unstructured interview?

In which type of observation are predefined criteria and behaviors observed?

What is the primary purpose of data collection methods?

What type of data is organized in a predefined manner, typically in rows and columns?

Which of the following is NOT considered a primary data collection method?

Which data collection method is best suited for gathering information on a specific topic from a large population?

Which of the following is NOT a characteristic of Big Data?

What characteristic of Big Data refers to the speed at which data is generated, collected, and processed?

Which of the following is an example of unstructured data?

Why is it more challenging to analyze unstructured data compared to structured data?

What characteristic of Big Data refers to the quality, accuracy, and trustworthiness of the data?

What aspect of Big Data refers to the different types of data formats, including structured, semi-structured, and unstructured?

Which of the following is an example of the 'Volume' characteristic of Big Data?

Which type of data visualization is best suited for comparing the sales figures of different products in a store?

What type of data visualization is used to represent the distribution of a single variable by showing the frequency of data within certain ranges?

Which data visualization method is best for displaying the relationship between two variables and identifying potential correlations?

Which type of data visualization effectively represents hierarchical data using nested rectangles, with the size and color of each rectangle representing different attributes?

What type of data visualization is most effective for showing the distribution of a dataset by highlighting the median, quartiles, and potential outliers?

Which data visualization technique utilizes color to represent data values in a matrix, often used to show intensity or frequency?

Which of the following data visualizations is best for depicting the market share of different smartphone brands?

Which data visualization method is most suitable for tracking stock prices over several months?

If a customer database has duplicate entries for the same individual, which data quality characteristic is being violated?

If a product's price is listed as $100 in one system and $90 in another, which data quality characteristic is lacking?

Which of the following is an example of data that is not relevant?

Which data quality characteristic ensures that each record is distinct and not duplicated within a dataset?

If a customer database includes future dates in the birthdate field, which data quality characteristic is violated?

Which data quality characteristic ensures that data is available when needed?

In a relational database, if a foreign key in one table references a non-existent primary key in another table, which data quality characteristic is compromised?

Which of the following best describes the concept of consistency in data quality?

Which research method is most likely to establish cause-and-effect relationships?

What is a key disadvantage of the Observation method?

Which research method relies on analyzing existing data?

What is a potential bias associated with Focus Groups?

Which type of experiment involves manipulating variables in a natural environment?

Which research method is particularly useful for exploring complex and nuanced issues within specific contexts?

What is a common application of Sensor and Instrument Data?

Which research method typically involves a guided discussion with a small group?

Which of the following is NOT a task associated with Data Transformation?

What is the purpose of Binning in Data Preparation?

In Data Integration, what does "merging" datasets typically involve?

Which of the following is NOT a task included in Data Formatting?

What is the main goal of Standardization in Data Transformation?

Which of these methods is NOT used for handling missing values?

Which data preparation task involves transforming data into the desired format or structure?

What is the primary purpose of Data Visualization?