Graphing and Data Analysis Techniques

Graphing and Data Analysis Techniques

Assessment

Interactive Video

Chemistry

10th - 12th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

Ryan Rice from Washington State University guides viewers through creating and analyzing graphs in Excel for an enthalpy of formation experiment. The tutorial covers data entry, graph creation, formatting, adding trendlines, extrapolating data, and calculating temperature changes. The video is designed for users with the 2016 version of Excel, but the principles apply to other versions as well.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in preparing for the enthalpy of formation experiment using Excel?

Creating a scatterplot

Entering data into an Excel spreadsheet

Adding trendlines

Calculating temperature changes

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of chart is used to visualize the pre-reaction and post-reaction data?

Pie chart

Scatterplot

Line chart

Bar chart

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you adjust the y-axis to better display the data on the graph?

Remove the x-axis

Add more data points

Set the axis bounds

Change the chart type

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you do to add a title to the y-axis?

Use the insert symbol option

Click on the x-axis

Click on axis titles and enter the title

Change the chart type

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of adding trendlines to the graph?

To adjust the axis bounds

To remove data points

To visualize the data trend

To change the chart type

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you make a trendline more visible on the graph?

Add more data points

Remove the x-axis

Change its color and thickness

Change the chart type

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of extending trendlines in the graph?

To change the chart type

To adjust the axis bounds

To remove data points

To visualize data beyond the collected points

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