
Power BI: Quartiles and Percentiles Quiz
Authored by Vinay Singh
Computers
12th Grade
Used 2+ times

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11 questions
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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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