Student Experiment

A student experiment is a structured investigation in which learners test a question by collecting and interpreting evidence, making it a practical foundation for scientific reasoning. In biology, students typically formulate a hypothesis, identify variables, apply controlled procedures, record observations or measurements, and compare results with expected outcomes; repeated trials and appropriate controls help distinguish biological effects from experimental variation. These investigations can examine cells, microorganisms, plants, animals, or ecological systems while developing skills in experimental design, data analysis, and scientific communication. Student experiments also connect classroom concepts to authentic research practices and can reveal how evidence supports, challenges, or refines explanations of living systems.

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Research

JoVE Journal - Biochemistry

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

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Cited by 2 •

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...

Education

JoVE Core - Statistics

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...

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...

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...

Comparing Experimental Results: Student's t-Test

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2024

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...

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