Box Plot Scale Selection

The video tutorial discusses how to select the appropriate scale for creating a box plot. It emphasizes the importance of choosing a scale that includes the minimum and maximum data values and provides suitable increments for accurate data representation. The tutorial evaluates different scale options, ultimately recommending a scale from 120 to 160 with increments of two for precise data placement on the box plot.

What is the first step in selecting a scale for a box plot?

• Determining the minimum and maximum values

• Deciding the type of graph

• Selecting the data source

• Choosing the color of the plot

Why are scale choices A and B not suitable for the data?

• They do not cover the entire range of the data

• They include too many data points

• They are too complex to understand

• They use incorrect units

What is the minimum value for the correct scale choice?

• 130

• 120

• 100

• 0

What is the maximum value for the correct scale choice?

• 150

• 160

• 200

• 180

Why are increments of 40 not suitable for the scale?

• They are too complicated

• They are too small

• They are not visually appealing

• They do not allow precise placement of values

What increment size is chosen for the correct scale?

• 5

• 2

• 10

• 1

How many tick marks are needed for the chosen scale?

• 15

• 20

• 25

• 10

What is the advantage of using smaller increments on the scale?

• It simplifies the calculation process

• It makes the plot more colorful

• It allows for more precise placement of values

• It reduces the number of data points

What is the correct scale choice for the box plot?

• Choice A

• Choice D

• Choice C

• Choice B

What is the purpose of having room on either side of the data range in the scale?

• To provide a buffer for future data

• To ensure all data points are included

• To allow for potential data errors

• To make the plot look bigger