Student Experiment
Student Experiment - Related Videos
10:17
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
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Cited by 3 •
2024
An adaptable Gibson Assembly molecular cloning module was employed in a course-based undergraduate research experience (CURE) format for molecular biology laboratory course students. Assessment of student learning outcomes showed improved understanding and confidence in molecular cloning after completion of the CURE, and novel plasmids were cloned for natural product biosynthesis...
06:58
The Factorial Experiment
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University A factorial design is a common type of experiment where there are two or more independent variables. This video demonstrates a 2 x 2 factorial design used to explore how self-awareness and self-esteem may influence the ability to decipher nonverbal signals. This video leads students through the basics of a factorial design including, the nature of a factorial design and what distinguishes it from...
01:25
Microsoft Excel: Student's t-Test
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2025
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis. To conduct a t-test in Excel, use the T.TEST function or the "Data Analysis...
01:31
Student t Distribution
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2025
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval. The Student t distribution was developed by William S. Goset (1876–1937) of the...
03:20
The Stanford Prison Experiment
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2020
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts. Social Roles One major social determinant of human behavior is our social role—a pattern of behavior that is expected of a person in a given setting or group (Hare, 2003). Each one of us has several social roles. You may be, at the same time, a student, a parent, an aspiring...
FAQs
A hypothesis gives the investigation a testable expectation, while variables specify what will change, what will be observed, and what conditions should remain consistent. This structure links the biological question to evidence that can support, challenge, or refine an explanation. Clear variable selection also helps learners interpret whether observed differences relate to the factor being examined.
Controls provide a comparison point for judging whether a biological effect is associated with the factor under investigation. Repeated trials help reveal whether a pattern remains consistent or may reflect experimental variation. Together, they strengthen interpretation by making it easier to distinguish a meaningful result from an isolated observation or an outcome produced by uncontrolled conditions.
An unexpected result does not automatically invalidate the investigation. Comparing observations with the hypothesis can show that the proposed explanation needs refinement, that the biological response differs from expectations, or that experimental variation influenced the evidence. Reviewing the collected measurements and procedure allows students to use disagreement between prediction and outcome as part of scientific reasoning.
Planning begins with a biological question and a hypothesis, followed by identification of variables, controls, and a consistent procedure. Students then collect observations or measurements, organize the evidence, and compare the results with the expected outcome. Repeated trials can be incorporated during data collection, while interpretation and scientific communication complete the investigation.
The scope can extend from cells and microorganisms to plants, animals, and ecological systems. This range allows learners to examine biological questions at different levels of organization while practicing the same core reasoning skills: collecting evidence, interpreting patterns, and evaluating explanations. The selected system determines the observations or measurements that are relevant to the investigation.
Students must communicate how they formed the question, handled variables, collected evidence, and interpreted the outcome. Explaining the relationship between results and the original hypothesis makes the reasoning visible rather than presenting observations alone. This process connects classroom work with authentic research practices and helps learners show how evidence can support, challenge, or refine biological explanations.