Descriptive Analytics Quiz

Choose a study mode

Play Quiz

Study Flashcards

Spaced Repetition

Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the purpose of descriptive analytics?

To apply advanced statistical techniques to data sets
To analyze distributions and sampling methods
To build predictive models designed to identify and predict future trends
To identify possible trends in large data sets or databases (correct)

Which methodology is NOT typically associated with descriptive analytics?

Charts
Measures of central tendency (mean, median, mode)
Distributions (correct)
Probability

What distinguishes predictive analytics from descriptive analytics?

It identifies trends and relationships not readily observed in a descriptive analysis (correct)
It aims to get a rough picture of what the data looks like
It focuses on building descriptive statistics
It uses simple statistical techniques

Which measure is a part of descriptive analytics?

Standard deviation (A) Signup and view all the answers

What is the purpose of predictive analytics?

To build predictive models designed to identify and predict future trends (B) Signup and view all the answers

Match the following with their respective analytics type:

Measures of central tendency (mean, median, mode) = Descriptive Analytics Distributions and sampling methods = Predictive Analytics Charts, graphs, sorting methods = Descriptive Analytics Building predictive models to identify future trends = Predictive Analytics Signup and view all the answers

Flashcards are hidden until you start studying

Study Notes

Descriptive Analytics

Purpose: to summarize and describe historical data to understand past business performance
Methodology: NOT typically associated with Machine Learning
Measured by: mean, median, mode, frequency, and percentiles

Predictive Analytics

Purpose: to forecast what may happen in the future based on patterns in historical data
Distinguishing feature: uses statistical models and machine learning to forecast, whereas descriptive analytics focuses on summarizing past data