Testing Strategies

Which of the following strategies is most effective for testing the hypothesis that plants grow faster under blue light compared to red light?

• Conducting a survey of plant growth under different light conditions

• Performing a controlled experiment with plants under blue and red light

• Observing plants in a natural environment

• Using computer simulations to predict plant growth

What is the primary purpose of using a control group in a scientific experiment?

• To increase the sample size

• To provide a standard for comparison

• To ensure the experiment is ethical

• To test multiple variables simultaneously

In a scientific experiment, what is the independent variable?

• The variable that is measured

• The variable that is changed or controlled

• The variable that remains constant

• The variable that is dependent on others

Tags

NGSS.MS-PS3-4

Which of the following is a qualitative data collection method?

• Measuring temperature with a thermometer

• Counting the number of leaves on a plant

• Interviewing participants about their experiences

• Weighing a sample on a scale

What is the best strategy for ensuring the reliability of experimental results?

• Conducting the experiment once

• Using a large sample size

• Changing multiple variables at once

• Ignoring outliers in the data

Which of the following is an example of a hypothesis?

• Plants need sunlight to grow

• If plants are given more sunlight, then they will grow taller

• Plants are green

• Sunlight is a form of energy

What is the role of a placebo in a scientific study?

• To enhance the effects of the treatment

• To serve as a control to compare with the treatment

• To ensure all participants receive the treatment

• To increase the sample size

Which graph is most appropriate for displaying the relationship between two continuous variables?

• Bar graph

• Pie chart

• Line graph

• Histogram

In the context of scientific research, what does the term 'peer review' mean?

• Reviewing the work of colleagues in the same field

• Publishing research findings in a journal

• Conducting experiments with peers

• Collaborating with other scientists

What is the significance of a p-value in hypothesis testing?

• It indicates the probability of the null hypothesis being true

• It measures the strength of the experimental design

• It shows the correlation between variables

• It determines the sample size needed