A Physics Toolkit Chapter 1 1 1 Physics

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A Physics Toolkit Chapter 1

A Physics Toolkit Chapter 1

1. 1 Physics • Energy, matter and their relationship • Understanding the physical world

1. 1 Physics • Energy, matter and their relationship • Understanding the physical world • Careers – Scientists, astronomers, engineers, teachers, computer science, medicine

Mathematics • Language of physics • Model observations • Representations – Equations, pictures, force

Mathematics • Language of physics • Model observations • Representations – Equations, pictures, force diagrams, written descriptions, motion maps…

DOES IT MAKE SENSE? ? • Numbers, units, blah, blah • Copper ball falls

DOES IT MAKE SENSE? ? • Numbers, units, blah, blah • Copper ball falls 5 m. – Calculated answers: 0. 002 s or 17 s

SI Units • 7 base units: Meter, Kilogram, Second, Kelvin, Mole, Ampere, Candela •

SI Units • 7 base units: Meter, Kilogram, Second, Kelvin, Mole, Ampere, Candela • Everything else is derived – Joule – Coulomb – Newton

Conversions • Femto (10 -15) to tera (1012) • Same as chemistry • Dimensional

Conversions • Femto (10 -15) to tera (1012) • Same as chemistry • Dimensional analysis – 1 kg/1000 g = 1

Significant Figures • Zeros to locate the decimal are not significant • Scientific notation

Significant Figures • Zeros to locate the decimal are not significant • Scientific notation makes it easier to identify significant zeros • Arithmetic result may never be more precise than the least precise measurement – Addition, subtraction, multiplication, division • Counting numbers are exact

Scientific Methods • Make observations • Do experiments • Create models or theories to

Scientific Methods • Make observations • Do experiments • Create models or theories to explain results • Repeat for many iterations • How are variables related?

MODELS, Laws, Theories • Models based on experimentation – Atomic model, Bohr model, Quantum

MODELS, Laws, Theories • Models based on experimentation – Atomic model, Bohr model, Quantum model • New data that doesn’t fit existing model – Evaluate both data and model • Reproducibility of data • Validity of model

Models, LAWS, Theories • Rule of nature • Sums up related observations • Describes

Models, LAWS, Theories • Rule of nature • Sums up related observations • Describes pattern in nature – Conservation laws, Law of reflection • Do NOT explain why things happen

Models, Laws, THEORIES • • Explanation based on many observations Based on experimental results

Models, Laws, THEORIES • • Explanation based on many observations Based on experimental results May be explanations of laws Only a well supported explanation • Theory of Universal Gravitation, Atomic Theory

1. 2 Measurement • Comparison between a standard and unknown quantity • Often reported

1. 2 Measurement • Comparison between a standard and unknown quantity • Often reported with uncertainty • If values overlap within uncertainty, data agrees – Figure 1 -10, pg 12

PRECISION versus Accuracy • Degree of exactness of measurement – Smallest amount of uncertainty

PRECISION versus Accuracy • Degree of exactness of measurement – Smallest amount of uncertainty is most precise • Depends on instrument and technique • Finest division on device • Precision is ½ smallest division – Graduated cylinder with 1 m. L division – Beaker with 50 m. L division • Shown by significant figures

Precision versus ACCURACY • Describes how well measurements agree with the accepted value •

Precision versus ACCURACY • Describes how well measurements agree with the accepted value • Real value versus Accepted value – Can you ever know the exact measurement? • Yes and no

Good Measurements • Read measurements at eye level – Reduces error caused by parallax

Good Measurements • Read measurements at eye level – Reduces error caused by parallax • Carefully • Multiple times as necessary • Correct device for type of measurement

1. 3 Graphing Data • Represent relationships between variables • Independent variable is manipulated

1. 3 Graphing Data • Represent relationships between variables • Independent variable is manipulated • Dependent variable responds • Rule of One

Line of Best Fit • Best model of the data • Drawn close to

Line of Best Fit • Best model of the data • Drawn close to all data points possible • Problem-solving strategies, pg 16

Linear Relationships • Dependent variable varies linearly with independent variable • Relationship is y=mx+b

Linear Relationships • Dependent variable varies linearly with independent variable • Relationship is y=mx+b • Use points on the line of best fit to calculate slope and y-intercept • Slope = change in y over change in x

Nonlinear Relationships • Quadratic – y = ax 2 + bx + c –

Nonlinear Relationships • Quadratic – y = ax 2 + bx + c – One variable depends on the square of another • Inverse (hyperbola) – y = a/x – One variable depends on the inverse of the other • Others

Predicting Values • Can use the graph to make predictions – Interpolation – Extrapolation

Predicting Values • Can use the graph to make predictions – Interpolation – Extrapolation • Can use the equation for the graph to make predictions

Lab • Graphing activity – after finishing slides • Vernier Caliper lab – after

Lab • Graphing activity – after finishing slides • Vernier Caliper lab – after section 2 discussion