Analytical Skills
Analytical Skills - Related Videos
05:40
Fabricating Cotton Analytical Devices
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2016
To investigate simple fabrication approaches for multiple assay needs, we created a fluid-absorbing channel system made of cotton material. This device was used to establish a multiple detection platform, and solve contamination issues that commonly affect lateral flow-based biomedical devices, for clinical urinalysis of nitrite, total protein, and urobilinogen.
04:34
Scientific Measurement and Lab Skills - Concepts
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2020
Two-Dimensional Graphs Some chemistry experiments take the form of directly changing one property of the system that you are studying otherwise known as the independent variable, like temperature, and measuring the effects on another property, otherwise known as the dependent variable, like volume. Once the data have been collected, the interaction between the two parameters must be quantified — or converted into a form that can be evaluated — and compared to other relationships.
03:08
Scientific Measurement and Lab Skills - Instructor Prep
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2020
Source: Smaa Koraym at Johns Hopkins University, MD, USA Preparation of the LaboratoryExpand Here, we show the laboratory preparation for 10 students working individually, with some excess. Please adjust quantities as needed. To set up for this lab experiment, wear the appropriate personal protective equipment, including a lab coat, chemical splash goggles, and gloves. Prepare a 1.5 x 10-5 M erythrosin B red dye solution. To prepare 500 mL of this solution, weigh 0.0066 g of...
05:12
Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
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Cited by 11 •
2017
We describe a novel virtual-reality based setup which exploits voluntary control of one hand to improve motor-skill performance in the other (non-trained) hand. This is achieved by providing real-time movement-based sensory feedback as if the non-trained hand is moving. This new approach may be used to enhance rehabilitation of patients with unilateral hemiparesis.
09:51
Sample Preparation for Analytical Characterization
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2023
Source: Laboratory of Dr. B. Jill Venton - University of Virginia Sample preparation is the way in which a sample is treated to prepare for analysis. Careful sample preparation is critical in analytical chemistry to accurately generate either a standard or unknown sample for a chemical measurement. Errors in analytical chemistry methods are categorized as random or systematic. Random errors are errors due to change and are often due to noise in instrument. Systematic errors are due to...
FAQs
A useful starting point is to translate the physical situation into measurable variables and a diagram that shows relevant relationships. The solver then selects governing equations that match those relationships, rather than inserting values into formulas indiscriminately. This approach clarifies which quantities are known, which must be found, and which assumptions control the result.
Assumptions determine whether a mathematical model represents the physical situation adequately. Simplifying conditions can identify which effects matter and which may be neglected, but they must remain consistent with the observations and governing principles. Making them explicit helps physicists evaluate the model, recognize its limitations, and avoid treating a mathematically correct result as universally applicable.
Checking units provides an independent test of whether an equation or calculation is physically consistent. Comparing the relationships among variables also helps reveal whether a result changes in the expected direction when conditions change. These checks can expose incorrect substitutions, missing factors, or unsuitable equations before the result is interpreted as a physical conclusion.
Analytical reasoning separates information that supports a physical relationship from irregularities that may obscure it. By examining patterns, comparing observations with a model, and considering uncertainty, physicists can judge how strongly the evidence supports a conclusion. This distinction is important when interpreting measurements, because an apparent trend should not automatically be treated as a reliable physical effect.
Begin by identifying the question and translating it into variables, diagrams, or a mathematical model. Next, select governing relationships, state assumptions, and organize the relevant measurements. After calculating or analyzing the data, check units and uncertainty, compare the outcome with physical principles, and communicate the conclusion together with the evidence and limitations.
They help connect an experimental question with the quantities that must be measured and the relationships that should be tested. Analytical planning can clarify which information is relevant, how uncertainty may affect the outcome, and what comparison would distinguish competing explanations. During interpretation, the same reasoning links observed data to a defensible physical conclusion.
The same reasoning supports different kinds of questions in mechanics, electricity and magnetism, thermodynamics, and modern physics. Although the variables and governing equations change, the process of identifying relationships, checking assumptions, evaluating evidence, and interpreting results remains useful. This consistency allows analytical skills to transfer across physics topics rather than remain tied to one calculation method.
A clear analytical explanation shows how the evidence leads to the conclusion. Presenting the selected variables, relevant relationships, assumptions, calculations or comparisons, and uncertainty allows others to evaluate the reasoning rather than only accept the final result. This structure also makes it easier to distinguish established findings from interpretations that depend on limited evidence or a particular model.