Math Phrases
Math Phrases - Related Videos
14:43
Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
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Cited by 8 •
2020
This work presents a protocol to administrate Spanish Curriculum-Based Measures for the early detection of reading, math, and writing difficulties. These tools could help practitioners and applied researchers working in the context of the Response to Intervention model.
09:20
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cited by 9 •
2019
We present a protocol and associated programming code as well as metadata samples to support a cloud-based automated identification of phrases-category association representing unique concepts in user selected knowledge domain in biomedical literature. The phrase-category association quantified by this protocol can facilitate in depth analysis in the selected knowledge domain.
01:24
Convolution: Math, Graphics, and Discrete Signals
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2024
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time. To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
07:31
Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
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Cited by 1 •
2019
Here we present a protocol for familiarization-test paradigms which provide a direct test of infant categorization and help to define the role of language in early category learning.
06:12
Experimentation using a Confederate
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University When orchestrating an experiment, it is important that the experience elicits the most natural reactions from the participants as possible. Researchers accomplish much of this through their creation of the experimental settings. Many research projects focus on interactions between two or more people. In these situations the environment or setting must often be less natural; often only one person...
FAQs
The order of words determines which quantity comes first in an expression, especially for subtraction and difference phrases. For example, “the difference between x and y” must preserve the stated relationship rather than treating the terms as interchangeable. Attention to sequence keeps a translated expression faithful to the original mathematical meaning and prevents silent changes in a word problem.
Words such as “at least” communicate a relationship involving a lower limit, so they lead to an inequality rather than an ordinary equation. The phrase identifies a boundary and indicates that values meeting or exceeding it are included. Recognizing this distinction helps students represent constraints accurately when converting verbal conditions into mathematical symbols.
The word “of” cannot be translated reliably in isolation because its mathematical role depends on the surrounding phrase. A reader should identify the quantities, operation, or relationship connected by the wording before selecting symbols. Examining the complete statement reduces ambiguity and supports expressions that preserve the intended meaning instead of assigning a symbol automatically.
First, identify the quantities and the words that describe their relationship. Next, locate operation terms such as “sum” or “difference,” along with comparison language such as “at least.” Then arrange the symbols in the same logical order as the statement and determine whether the result is an expression, inequality, or equation. This workflow turns language into a solvable model.
Students can reread the original phrase after writing the symbols and compare each part of the wording with the corresponding mathematical element. They should verify the operation, order of quantities, and type of relationship represented. This check supports precision because an expression may contain familiar symbols yet still misrepresent the original verbal condition.
Interpreting verbal mathematical relationships supports communication in science, engineering, economics, and other quantitative fields. In these settings, written descriptions must become expressions, inequalities, or equations before a problem can be analyzed systematically. The skill therefore connects mathematical literacy with modeling, problem-solving, and the precise communication of quantities and patterns across disciplines.