Analyzing Dot Plots and Data

Analyzing Dot Plots and Data

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Patricia Brown

FREE Resource

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, shoe sizes, and math test scores. The tutorial emphasizes the importance of not making assumptions without complete data and introduces the concept of outliers and clusters. The lesson concludes with a transition to comparing dot plots numerically.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Time, speed, and distance

Shape, center, and spread

Color, size, and shape

Height, width, and depth

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you visually identify the center of a dot plot?

By finding where most dots are concentrated

By counting the total number of dots

By looking at the tallest peak

By identifying the first dot

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

The type of treadmill used

The time of day he walked

The number of days he walked

The speed he walked

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Saturday

Sunday

Monday

Friday

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference in customer arrival times between Monday and the weekend?

Monday arrivals are mostly in the morning

Monday arrivals are mostly at noon

Monday arrivals are evenly spread throughout the day

Monday arrivals are mostly in the evening

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

6

10.5

9

7.5

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an outlier in a dot plot?

A data point far from others

A data point at the center

A data point with the highest frequency

A data point with the lowest frequency

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