Data Science

Data Science Basics

30 питань

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efficient use of binary digits and reduces the overall size of the data without losing any information during

Питання 1

What is Huffman coding primarily used for?

Data encryption

Data compression

Data storage

Data retrieval

Питання 2

Which of the following is NOT a characteristic of big data storage solutions?

High performance for data access

Ability to handle large volumes of data

Limited scalability

Reliability

Питання 3

What is a primary function of relational databases?

Organizing data in tables

Handling unstructured data

Storing data as objects

Providing remote accessibility

Питання 4

What technique does B-tree indexing use to organize data?

Tree-like structure

Hash functions

Bitmap creation

Sequential searching

Питання 5

In data chunking, what is the purpose of adding metadata to each chunk?

To compress the data

To provide information about the chunk

To encrypt the data

To increase data redundancy

Питання 6

Which storage solution is best suited for unstructured data?

Relational databases

Data warehouses

NoSQL databases

Cloud storage

Питання 7

What is one advantage of data chunking?

Increased data redundancy

Reduced processing time

Simplified data encryption

Improved data compression

Питання 8

What is the main role of a Database Management System (DBMS) in data science?

To analyze data

To visualize data

To manage data storage and retrieval

To encrypt data

Питання 9

What does conditional probability indicate when two events are independent?

The occurrence of Event A affects Event B.

Event A is not affected by the occurrence of Event B.

Event A and Event B are mutually exclusive.

The probability of Event A is always greater than the probability of Event B.

Питання 10

In the context of the document, how is the probability of at least one successful knee surgery calculated?

By adding the probabilities of each surgery being successful.

By finding the probability of none being successful and subtracting from 1.

By multiplying the probabilities of each surgery being successful.

By averaging the probabilities of all surgeries.

particular age might be selected again as part of the sample.

Питання 11

What is the first step in the bootstrapping process as described in the text?

Calculate the standard deviation of the samples

Sort the sample means from smallest to largest

Form hundreds or thousands of samples

Calculate the confidence interval

Питання 12

How do you find the 5th percentile (P5) according to the text?

Add the last two data values and divide by 2

Multiply the percentile by the number of data values

Add the first and second data values and divide by 2

Sort the data values in descending order

Питання 13

What is the purpose of the `bootstrap()` function in Python's SciPy library?

To calculate the mean of a dataset

To automate the bootstrapping process

To sort sample means

To calculate percentiles

Питання 14

What is the resulting 90% confidence interval based on the example provided in the text?

(22.05, 28.6)

(11.03, 13.97)

(22.45, 26.7)

(12.5, 15.5)

Питання 15

Which Python function is used to calculate the confidence interval when the population standard deviation is known?

t.interval()

norm.interval()

proportion_confint()

bootstrap()

Питання 16

What is the sample size used in the example for calculating a 90% confidence interval?

Питання 17

What does the `n_resamples` parameter in the `bootstrap()` function specify?

The number of data values

The number of times the bootstrap function is called

The number of samples to be created

The confidence level to be used

Питання 18

What is the output of the confidence interval when using 50,000 bootstrapped samples as per the example?

(22.05, 28.6)

(22.45, 26.7)

(11.03, 13.97)

(15.8, 19.0)

Питання 19

What is the primary purpose of the null hypothesis in hypothesis testing?

To assume there is a difference between two proportions

To state that there is no difference between two proportions

To reject the alternative hypothesis

To calculate the p-value

Питання 20

In the context of correlation analysis, what is the independent variable?

The variable that is measured or observed

The variable that is controlled or changed

The variable that represents the outcome

The variable that has no effect on the dependent variable

particular day that you happen to be planning to go to the beach? A manufacturer may want to know how the

Питання 21

What is the primary purpose of time series analysis?

To analyze data collected at random intervals

To make predictions about future data based on current and historical data

To clean and format data for analysis

To visualize data trends without making predictions

Питання 22

Which of the following is NOT a step in the time series analysis process?

Data Gathering

Data Cleaning

Model Selection

Data Visualization

Питання 23

In time series analysis, what does 'anomaly detection' refer to?

Identifying seasonal trends in data

Forecasting future data points

Quantifying risk in financial data

Detecting significant deviations from expected data patterns

Питання 24

What type of data is considered 'time series data'?

Data collected from different sources at the same time

Numerical measurements of the same variable collected at regular time intervals

Data that is analyzed without any specific temporal context

Qualitative data gathered from surveys

Питання 25

Which of the following industries commonly utilizes time series analysis?

Culinary arts

Fashion design

Finance and economics

Graphic design

Питання 26

What is the first step in the time series analysis process?

Data Gathering

Model Evaluation

Problem Identification/Definition

Data Cleaning

Питання 27

Why is model evaluation considered a critical step in time series analysis?

It helps in gathering new data for analysis

It ensures the model is accurate enough for predictions

It simplifies the data cleaning process

It allows for the visualization of trends

Питання 28

What might a significant deviation in a family's spending patterns indicate according to time series analysis?

A seasonal trend in spending

A potential fraud or a sudden increase in earnings

An improvement in budgeting skills

A decrease in overall household income

Питання 29

What does the 'I' in ARIMA stand for?

Integration

Independence

Invariance

Increment

Питання 30

Which test is used to assess the presence of non-stationarity in a time series?

T-test

Augmented Dickey-Fuller (ADF) test

Chi-square test

F-test

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