Which statistical method is commonly used for data quality assessment?
- Descriptive statistics
- Hypothesis testing
- Inferential statistics
- Regression analysis
Descriptive statistics are commonly used for data quality assessment as they provide a summary of the key characteristics of a dataset, such as measures of central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and distribution (histograms, box plots). These statistics help analysts understand the underlying patterns, trends, and outliers in the data, enabling them to assess data quality and make informed decisions based on the findings.
Loading...
Related Quiz
- What are some common challenges faced during the implementation of a data warehouse?
- Scenario: Your company is planning to migrate its monolithic application to a distributed microservices architecture. What factors would you consider when designing this transition, and what challenges might you anticipate?
- In an ERD, a(n) ________ relationship indicates that one instance of an entity is related to exactly one instance of another entity.
- Scenario: You are designing an ERD for an online shopping platform. Each product can belong to multiple categories, and each category can have multiple products. What type of relationship would you represent between the "Product" and "Category" entities?
- What is the role of a consumer group in Kafka?