Analyzing Bar Graphs Through City Temperature Comparisons

Analyzing Bar Graphs Through City Temperature Comparisons

Assessment

Interactive Video

Mathematics, Science, Geography

6th - 7th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains how to use bar graphs to understand data, specifically focusing on average temperatures of six cities. It demonstrates how to identify the hottest city, list warm cities with temperatures above 25°C, and calculate the temperature difference between the hottest and coldest cities. The tutorial highlights the effectiveness of bar graphs in providing a clear visual representation of data categories.

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7 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using a bar graph in this context?

To measure the rainfall in different regions

To understand the average temperature of various cities

To compare the population of different cities

To analyze the economic growth of cities

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which city has the highest average temperature according to the bar graph?

City B

City E

City A

City F

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What temperature is considered the threshold for a city to be classified as warm?

30 degrees Celsius

25 degrees Celsius

35 degrees Celsius

20 degrees Celsius

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following cities are classified as warm?

Cities B, C, and F

Cities A, D, and E

Cities A, B, and C

Cities D, E, and F

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the approximate temperature difference between the hottest and coldest cities?

39 degrees Celsius

29 degrees Celsius

59 degrees Celsius

49 degrees Celsius

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the temperature of the coldest city?

9 degrees Celsius

39 degrees Celsius

19 degrees Celsius

29 degrees Celsius

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the key benefits of using a bar graph?

It predicts future temperature changes

It shows historical trends over time

It allows for easy comparison of categories

It provides detailed numerical data