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Power BI: Quartiles and Percentiles Quiz

Authored by Vinay Singh

Computers

12th Grade

Used 2+ times

Power BI: Quartiles and Percentiles Quiz
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11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of merging data in Power BI?

To create a new data source

To combine data from multiple sources into a single table

To delete unnecessary data

To format data for visualisation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a step in the data merging process in Power BI?

Selecting the tables to merge

Defining the join type

Creating a new Power BI account

Matching columns from different tables

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Power BI, what is a 'Left Outer Join'?

A join that includes all rows from the left table and matching rows from the right table

A join that includes only matching rows from both tables

A join that includes all rows from the right table and matching rows from the left table

A join that excludes all matching rows

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first quartile (Q1) in a dataset?

The median of the dataset

The value below which 25% of the data falls

The value below which 75% of the data falls

The highest value in the dataset

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the third quartile (Q3) calculated in a dataset?

By finding the median of the entire dataset

By finding the median of the lower half of the dataset

By finding the median of the upper half of the dataset

By finding the average of the dataset

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes the interquartile range (IQR)?

The difference between the maximum and minimum values

The difference between the first quartile (Q1) and the third quartile (Q3)

The sum of the first quartile (Q1) and the third quartile (Q3)

The average of the first quartile (Q1) and the third quartile (Q3)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a percentile in a dataset?

A value below which a given percentage of observations fall

The average value of the dataset

The sum of all values in the dataset

The highest value in the dataset

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