Experimental Design and Data Analysis

This video tutorial covers the basics of experimental design, including choosing variables, writing research questions, and creating procedures for data collection. It explains how to organize data in tables, process it using graphs, and analyze trends. The video also discusses how to draw conclusions from the data, evaluate errors, and suggest improvements.

What is the first step in designing an experiment?

• Writing a research question

• Choosing variables

• Analyzing results

• Collecting data

What should be done with other independent variables once one is chosen?

• They should be kept constant

• They should be varied

• They should be ignored

• They should be measured

How many different values should be planned for the independent variable?

• Five

• Seven

• Three

• Ten

What is the purpose of the average column in a data table?

• To calculate the mean of trials

• To display units of measure

• To list all measurements

• To show the highest value

What type of graph is recommended for numerical data?

• Line graph

• Bar graph

• Pie chart

• Scatter plot

Where should the independent variable be placed on a graph?

• Vertical axis

• Horizontal axis

• In the legend

• In the title

What does a trend line in a graph indicate?

• The units of measurement

• The errors in the data

• The overall pattern of the data

• The exact values of data points

What is the first part of a conclusion in an experiment?

• Identifying errors

• Stating the relationship between variables

• Describing the procedure

• Listing all data points

What type of error should be identified in the conclusion?

• Expected or unexpected

• Major or minor

• Human or machine

• Random or systematic

What is the final step in drawing conclusions from an experiment?

• Repeating the experiment

• Revising the research question

• Identifying ways to reduce error

• Writing a new hypothesis