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T Student Distribution

Normal Distribution

Chi Square Distribution

F Distribution

Вкажіть розподіл

Continuous Distribution

Geometric Distribution

Poisson Distribution

Normal Distribution

Hypergeometric Distribution

Weibull Distribution

T Student Distribution

Non-normal Distribution

Chi Square Distribution

F Distribution

What is a box plot?

is a graphical representation of the distribution of a dataset

is a graphical representation of the distribution of a dataset, displaying the frequencies or occurrences of data within specific intervals or "bins"

is a graphical data representation that displays individual data points as dots or markers on a two-dimensional plane

is a graphical representation of data using rectangular bars or columns of varying heights

is a circular graphical representation of data that divides a whole into segments or "slices"

What is technical metadata?

This type of metadata provides information about the operations and processes associated with the data stored in the warehouse, such as data ingestion, data quality, and data security

This type of metadata describes the technical aspects of the data warehouse and its components, such as data storage, data retrieval, and data processing

This type of metadata provides information about the business context and meaning of the data stored in the warehouse

Is it true?
Time-to-resolution - In the event of an incident, how quickly are you alerted? In extreme cases, this quantity can be measured in months if you don’t have the proper methods for detection in place. Silent errors made by bad data can result in costly decisions, with repercussions for both your company and your customers.

True

False

Is it true?
Time-to-resolution - Following a known incident, how quickly were you able to resolve it?

True

False

100%

Choose 2 types of numerical data

Continuous

Nominal

Discrete

Ordinal

Binary

What are the benefits of Decision Trees in data mining?

Easily understood and interpreted

Handle non-linear data well

Large trees with large

numbers of variables

become difficult to

understand

Missing data must be

appropriately

managed in

construction and use

Represent complexity in a compact form

Що таке упередженість відбору (Selection bias)?

Похибка або невідтворюваність у результаті повторного моделювання даних або моделювання
дані з великою кількістю прогностичних змінних

Упередження, що виникає внаслідок способу відбору спостережень

Широке полювання за даними в пошуках чогось цікавого

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