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HomeHomework Helpdata-scienceInvestigative Data Analysis

Investigative Data Analysis

Investigative Data Analysis refers to the systematic examination and interpretation of biological data to uncover patterns, relationships, and insights that inform scientific hypotheses and conclusions. This process often involves statistical methods and computational tools to analyze experimental results and observational data.

intermediate
5 hours
Data Science
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Overview

Investigative Data Analysis is a vital skill in today's data-driven world. It involves collecting, cleaning, and analyzing data to extract meaningful insights that can guide decision-making. By understanding different data types, employing effective data collection methods, and utilizing statistical...

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Key Terms

Qualitative Data
Data that describes qualities or characteristics.

Example: Survey responses about customer satisfaction.

Quantitative Data
Data that can be measured and expressed numerically.

Example: Sales figures for a product.

Outlier
A data point that differs significantly from other observations.

Example: A person with an unusually high income compared to their peers.

Descriptive Statistics
Statistics that summarize data from a sample.

Example: Mean, median, and mode of test scores.

Inferential Statistics
Statistics that allow us to make inferences about a population based on a sample.

Example: Using a sample to predict election outcomes.

Data Cleaning
The process of correcting or removing inaccurate records from a dataset.

Example: Removing duplicate entries from a database.

Related Topics

Predictive Analytics
Using statistical techniques to predict future outcomes based on historical data.
advanced
Machine Learning
A subset of AI that enables systems to learn from data and improve over time.
advanced
Data Mining
The process of discovering patterns and knowledge from large amounts of data.
intermediate

Key Concepts

Data CollectionData CleaningData VisualizationStatistical Analysis