Question # 1

What is an outlier in a dataset.

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The middle value when all values are arranged in order

An usual or extremetn value that deosen't fit the pattern

The most frequent value

the avarage of all values

How does data sciecne add value to bing data.

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By creating more data

By extracting insights and predictions from data

By making data storage more efficient

By ensuring data quality and consistency

What is the types of data is used to categorize items without implying any order.

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Ordinal data

Discrete Data

Nominal Data

Continous Data

What does data encryption do?

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It automatically delet old data

It speeds up internet connection

It converts data into a code to prevent unauthorized access

It makes data availabel to every one online

------include the dtat which can only take certain values and cannot be further subdivided into smaller units.

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Ordinal Data

Referral data

Statitical data

Referral data

Which programming language is commonly used for bign data analytics and machine learning tasks.

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Java

C++

Phyton

Ruby

What is the main purpose of data collection ?

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to delete old data

To format text documents

To gather information to answer questions or make decisions

to create random numbers

What is the primary challenge associated with traditional data processing techniques when dealing with big data.

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Lack of storage capacity

Limited availability of data visualization tools

Inability to handle diverse data types and large volumes

Slow processing speed

What type of data involves distinct, separate values that are countable?

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Nominal data

Discrete Data

Continous data

Ordinal Data

Which of the following key concepts involves transforming raw data into a structured format that is suitable fof analyis.

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Data ethics

Data modeling

Data exploration

Data collection

What is the primary purpose of data visualization in data sciecne?

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Data Collection

Data modeling

Extracting insights

Data exploration

In the context of bign data what does the 3 Vs refer to?

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Varacity velocity, veracity

Variety, velocity, volume

Volume, value, velocity

Validity, variety, volume

What is the primary function of data collection in the context of data science?

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Data analysis

Data retrieval

Data generation

Data Storaage

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