Data Science 🐍 Statistical Analysis

Data Science 🐍 Statistical Analysis

Assessment

Interactive Video

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Created by

Quizizz Content

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Information Technology (IT), Architecture, Social Studies

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12th Grade - University

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Hard

The video tutorial covers data analysis in Python using Numpy and Pandas. It begins with an introduction to summary statistics and generating sample data. The tutorial then demonstrates data analysis using Numpy, including calculating mean, standard deviation, and skewness. It also covers data analysis with Pandas, highlighting the describe function. Finally, a temperature control lab is conducted, and data is analyzed using CSV files.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

What is the first step in analyzing a large dataset in Python?

Exporting the data to a CSV file

Cleaning the data

Performing summary statistics

Visualizing the data with graphs

2.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

Which library is used to generate sample data with a random uniform distribution?

Pandas

Scipy

Matplotlib

Numpy

3.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

What is the purpose of using matplotlib inline in a Jupyter notebook?

To import data from a CSV file

To perform statistical analysis

To display plots within the notebook

To generate random data

4.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

How can you calculate the average of all rows in a dataset using Numpy?

By using axis=-1

By using axis=2

By using axis=1

By using axis=0

5.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

What does a skew value greater than 0 indicate about a data distribution?

The distribution is uniform

The distribution is skewed to the left

The distribution is skewed to the right

The distribution is normal

6.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

Which function in Pandas provides a summary of count, mean, and quartiles?

info()

summary()

head()

describe()

7.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

What is the main advantage of using the describe function in Pandas?

It imports data from external sources

It visualizes data with plots

It cleans the dataset

It provides detailed summary statistics

8.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

What is the purpose of the temperature control lab experiment in the context of data analysis?

To perform advanced statistical analysis

To collect and analyze real-time data

To generate random data points

To visualize data using histograms

9.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

Which Python library is used to download data from a URL in the temperature control lab experiment?

Numpy

Pandas

Matplotlib

Requests

10.

MULTIPLE CHOICE QUESTION

30 sec β€’ 1 pt

How many data points were collected in the second dataset of the temperature control lab experiment?

601

500

120

1000

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