Analyzing Customer Arrival Patterns

The video tutorial explains how to visually compare dot plots by examining their shapes, centers, and spreads. It provides examples using treadmill walking times, customer arrival times, and shoe sizes. The tutorial also discusses identifying outliers and clusters in dot plots. The lesson concludes with a preview of comparing dot plots numerically.

What are the three main aspects to consider when visually comparing dot plots?

• Shape, center, and spread

• Color, size, and shape

• Height, width, and depth

• Speed, distance, and time

What information is missing from Dave's treadmill dot plot?

• The time of day he walked

• The type of treadmill used

• The speed he walked

• The number of days he walked

On which day did most customers arrive before noon at the hardware store?

• Sunday

• Friday

• Saturday

• Monday

What is the center of the data for Sunday customer arrivals?

• 9 AM

• 11 AM

• 3 PM

• 1 PM

How does the spread of customer arrivals on Monday compare to the weekend?

• Monday and the weekend have the same spread

• Monday has a wider spread

• Monday has no spread

• Monday has a narrower spread

What is the center of the data for Monday customer arrivals?

• 1 PM

• 4 PM

• 11 AM

• 6 PM

What is the main difference in shoe sizes between men and women according to the dot plots?

• Both have the same size range

• Women's shoe sizes are generally larger

• Men's shoe sizes are more varied

• Men's shoe sizes are generally larger

What is an outlier in the context of dot plots?

• A data point that is far from the others

• A data point that is very common

• A data point that is at the center

• A data point that is missing

What is a cluster in a dot plot?

• A data point that is missing

• A data point that is far from others

• A single data point

• A group of closely grouped data points

What is the spread of women's shoe sizes in the dot plot?

• Size 9 to size 13

• Size 7 to size 11

• Size 5 to size 9

• Size 6 to size 10