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Related Concept Videos

Numerical Calculations01:24

Numerical Calculations

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In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
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How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Nominal Level of Measurement00:56

Nominal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Ordinal Level of Measurement00:55

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Multiple Intelligences Theory01:20

Multiple Intelligences Theory

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Related Experiment Videos

Multiple numeric competencies: When a number is not just a number.

Ellen Peters1, Par Bjalkebring2

  • 1Psychology Department, The Ohio State University.

Journal of Personality and Social Psychology
|October 7, 2014
PubMed
Summary
This summary is machine-generated.

Understanding numeracy involves more than just math skills. This study identifies three distinct numeric competencies: objective numeracy, subjective numeracy, and symbolic-number mapping, revealing their unique impacts on decision-making and cognitive performance.

Related Experiment Videos

Area of Science:

  • Cognitive Psychology
  • Behavioral Economics
  • Decision Science

Background:

  • Numeracy is crucial for evaluating numeric information, extending beyond basic calculation accuracy.
  • Numeric competency is likely multifaceted, yet research has not fully separated these influences on evaluations and choices.
  • Understanding these distinctions is key to explaining diverse outcomes in numeric tasks.

Purpose of the Study:

  • To identify and differentiate three key numeric competencies: objective numeracy, subjective numeracy, and symbolic-number mapping.
  • To examine the distinct effects of these competencies on numeric and non-numeric tasks.
  • To explore the relationships between these competencies and cognitive processes like memory, intuition, and emotional responses to numbers.

Main Methods:

  • A structural equation model analyzed the relationships between objective numeracy, subjective numeracy, and symbolic-number mapping abilities in 111 participants.
  • Participants completed tasks over four 1-hour sessions to assess performance in numeric and non-numeric domains.
  • Evaluations of gambles and memory recall were used to probe dissociations in competency effects.

Main Results:

  • Objective numeracy correlated with explicit number operations (comparisons, calculations).
  • Accurate symbolic-number mapping was linked to better numeric memory and improved intuition for expected values.
  • Lower subjective numeracy was associated with negative emotional responses, reduced motivation, and lower confidence in numeric tasks.

Conclusions:

  • Numeric competencies are separable and exert distinct influences on cognitive performance and decision-making.
  • Objective numeracy relates to computational skills, while symbolic-number mapping impacts intuition.
  • Subjective numeracy affects emotional and motivational aspects of engaging with numbers.
  • Future research should target these specific competencies to understand their mechanisms in various life outcomes.