Data Mining Techniques Are Well-Suited to Analyze Financial Time Series

question 11

True/False

Data mining techniques are well-suited to analyze financial time series data to find patterns,detect anomalies and outliers,recognize situations of chance and risk,and predict future demand,prices,and rates.

---

Definitions:

Null Hypothesis

A statement suggesting that there is no significant difference or relationship between specified populations, any observed effect being due to sampling or experimental error.

Type I Error

The mistake of rejecting the null hypothesis when it is actually true, commonly referred to as a "false positive."

Type II Error

The error that occurs when a false null hypothesis is not rejected.

Type I Error

The incorrect rejection of a true null hypothesis, also known as a "false positive," occurring when a statistical test falsely indicates the presence of an effect.