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Data Literacy - Data Collection to Data Analysis Part 3

Authored by Tushar Upadhyay

Other

11th Grade

Used 4+ times

Data Literacy - Data Collection to Data Analysis Part 3
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5 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What numerical values represent the intensity of pixels in a grayscale image?

-255 to 255

0 to 1

0 to 255

1 to 256

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is a "Channel" in the context of image processing?

A communication pathway in networks

A matrix representing pixel intensity values in an image

A single dimension of a dataset

A collection of multimedia data

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which method can handle datasets that are too large to process efficiently?

Outlier detection

Sampling techniques

Typographical error correction

Removing duplicate data

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the purpose of splitting the data into a training set and a testing set?

To eliminate the need for data cleaning

To reduce the size of the dataset

To train the model with the training set and evaluate its performance with the testing set

To only use one dataset for training and evaluation

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following is NOT a strategy for handling missing data?

Deleting rows or columns with missing values

Using algorithms that can handle missing data

Ignoring missing data without addressing it

Inputting missing values with estimates

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