Graphing and Experimental Variables

The video tutorial guides students through the BMC germination lab, focusing on setting up the experiment, collecting and presenting data, and forming hypotheses. Students learn to differentiate between independent and dependent variables, present data in tables, and graph results using line and bar graphs. The tutorial emphasizes the importance of clear labeling and titling in data presentation and concludes with writing a reflective conclusion on the experiment's outcomes.

What is the primary role of the independent variable in an experiment?

• It is the variable that is used as a control.

• It is the variable that is changed or manipulated.

• It is the variable that is kept constant.

• It is the variable that is measured.

In the context of the BMC Germination Lab, what was the independent variable?

• The number of seeds in each bag.

• The type of seeds used.

• The type of paper towel used.

• The type of liquid cleaner used.

Which of the following best describes a hypothesis?

• A list of materials needed for the experiment.

• A summary of the experiment's results.

• A detailed explanation of the experiment.

• A prediction about the outcome of the experiment.

What should be included in the title of a data table?

• Only the independent variable.

• Only the dependent variable.

• Neither the independent nor dependent variables.

• Both the independent and dependent variables.

How should independent variables be organized in a data table?

• In a separate section below the table.

• Horizontally across the top.

• Vertically down the side.

• Randomly throughout the table.

When is it appropriate to use a line graph?

• When data is collected over time.

• When data is collected at a single point in time.

• When comparing two unrelated variables.

• When data is qualitative.

What type of data is best represented by a bar graph?

• Data with no independent variable.

• Qualitative data.

• Discontinuous data collected at a single point.

• Continuous data collected over time.

What is the purpose of a key in a graph?

• To explain the variables used in the experiment.

• To differentiate between different data sets or variables.

• To list the materials used in the experiment.

• To provide a summary of the experiment.

What should be considered when writing a conclusion for an experiment?

• The procedure followed during the experiment.

• The materials used in the experiment.

• The data, graph, and table to support or reject the hypothesis.

• Only the data that supports the hypothesis.

What is a good practice when reflecting on an experiment?

• Repeating the experiment without any changes.

• Only focusing on the successful parts of the experiment.

• Considering how the experiment could be improved.

• Ignoring any errors that occurred.