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. Finally, it introduces the concept of comparing dot plots numerically.

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

• Speed, distance, and time

• Shape, center, and spread

• Color, size, and shape

• Height, width, and depth

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

• The speed he walked

• The number of days he walked

• The type of treadmill used

• The time of day 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 has a narrower spread

• Monday has a wider spread

• Monday and the weekend have the same spread

• Monday has no spread

What time is the center of customer arrivals on Monday?

• 11 AM

• 1 PM

• 6 PM

• 4 PM

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

• Men's shoe sizes are more varied

• Both have the same size range

• Women's shoe sizes are generally larger

• Men's shoe sizes are generally larger

What is an outlier in the context of dot plots?

• A data point that is at the center

• A data point that is the largest

• A data point that is the smallest

• A data point that is far from the others

What is a cluster in a dot plot?

• A group of closely grouped data points

• A single data point

• A data point that is far from others

• A data point at the center

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

• Size 5 to size 9

• Size 9 to size 13

• Size 6 to size 10

• Size 7 to size 11