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# Chem unit 1 presentation

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## Chem unit 1 presentationPresentation Transcript

• What is data and what can it tell us?
Chemistry: Unit 1
• What is data?
• What can data tell us?
• Skills
• Metric Conversions
• Dimensional Analysis
• Graphing
• Scientific Notation
• Data Pattern Recognition
• Calculations with Significant Figures
• 1:1 Units and Measurements
Goals and Objectives:
Define SI base units for time, length, mass, and temperature.
Explain how adding a prefix changes a unit.
Compare the derived units for volume and density.
• Units and Measurements
Base unit – is a defined unit in a system of measurement that is based on an object.
• SI Units
• Prefixes
Objective: Explain how adding a prefix changes a unit.
How important are prefixes?
• SI Unit Prefixes
• Units and Measurements
Kelvin – The SI unit for temperature. Based on Absolute Zero.
Kelvin – Celsius Conversion Equation
K = °C + 273
• Derived Unit
Derived unit – a unit that is defined by a combination of base units.
Examples:
g/ml
cm3
m/s2
• Derived Unit
Liter – the SI unit for volume.
1L = dm3
1ml = 1cm3
• Density
Density – is a physical property of matter and is defined a s the amount of mass per unit volume.
D = m/v
• Practice Problems
CALM: Unit 1:1
End 1:1
• 1:2 Scientific Notation
Goals and Objectives:
Express numbers in scientific notation.
Convert between units using dimensional analysis.
• Scientific Notation
Scientific notation – a method that conveniently restates a number without changing its value.
Coefficient – is the first number in scientific notation. (1-10)
Exponent – the multiplier of the coefficient by the power of 10.
• Scientific Notation
Example
• Adding and Subtracting Scientific Notation
Exponents must be the same. Convert if necessary.
• Adding and Subtracting Scientific Notation
Example
• Multiplication and Division using Scientific Notation
Exponents do not need to be the same.
Multiply or divide coefficients
When dividing, subtract exponents. (divisor from dividend)
• Multiplication and Division using Scientific Notation
Example
• Dimensional Analysis
Dimensional Analysis – is a systematic approach to problem solving that uses conversion factors to move, or convert, from one unit to another.
Example
• Conversion Factor
Conversion Factor - Is a ratio of equivalent values having different units.
Examples:
1000m / 1km
1 hr / 3600s
1 ml / 1 cm3
• Practice Problems
CALM: Unit 1:2
End 1:2
• 1:3 Uncertainty in Data
Goals and Objectives:
Define and compare accuracy and precision.
Describe the accuracy of experimental data using error and percent error
Apply rules for significant figures to express uncertainty in measured and calculated values.
• Uncertainty in Data
Accuracy – is how close a measure value is to an accepted value.
Precision - Is how close a series of measurements are to one another.
The amount of uncertainty in a measurement
More precise = less uncertainty
• Precision in Measurements
When measuring any item, write all digits that are confirmed and one estimated digit.
Example
• Error
Error is the difference between an experimental value and an accepted value.
Error = experimental value – accepted value
Example
• Percent Error
Percent error expresses error as a percentage of the accepted value
Percent error =
• Significant Figures
Rules for Significant Digits
Nonzero digits are always significant.
Zeroes are sometimes significant, and sometimes they are not.
Zeroes at the beginning of a number (used just to position the decimal point) are never significant.
Zeroes between nonzero digits are always significant.
Zeroes at the end of a number that contains a decimal point are always significant.
Zeroes at the end of a number that does not contain a decimal point may or may not be significant.
Scientific notation is used to clarify these numbers.
• Significant Figures
Rules for Significant Digits
Exact numbers can be considered as having an unlimited number of significant figures.
In addition and subtraction, the number of significant digits in the answer is determined by the least precise number in the calculation.
The number of significant figures to the right of the decimal in the answer cannot exceed any of those in the calculation.
In multiplication and division, the answer cannot have more significant digits than any number in the calculation.
• Significant Figures
Examples
• Rounding Numbers
When rounding numbers to the proper number of significant digits, look to the right of the last significant digit.
1-4: round down the last sig fig
5-9: round up the last sig fig.
• Rounding Numbers
Examples:
54.3654 to 4 sig figs:
To 3 sig figs:
To 2 sig figs:
To 1 sig fig:
• Practice Problems
CALM: 1:3
• 1:4 Representing Data
Goals and Objectives
Create graphs to reveal patterns in data.
Interpret graphs.
Explain how chemists describe submicroscopic matter.
• Representation of Data
Graph is a visual display of data
Circle graphs (pie chart) – display parts of a whole.
Bar graphs – shows how a quantity varies across categories
Line graphs – most graphs used in chemistry
• Rules for Good Graphing
Rules for Good Graphing on Paper:
All graphs should be on graph paper.
Identify the independent and dependent variables in your data.
The independent variable is plotted on the horizontal axis (x-axis) and the dependent variable is plotted on the vertical axis (y-axis).
Determine the range of the independent variable to be plotted.
Spread the data out as much as possible. Let each division on the graph paper stand for a convenient unit. This usually means units that are multiples of 2, 5 or 10…etc.
• Rules for Good Graphing
Rules for Good Graphing on Paper:
Number and label the horizontal axis. The label should include units.
Repeat steps 2. through 4. for the dependent variable.
Plot the data points on the graph.
Draw the best-fit straight or smooth curve line that passes through as many points as possible. Do not use a series of straight-line segments to connect the dots.
Give the graph a title that clearly tells what the graph represents (y vs. x values).
• Rules for Good Graphing
Rules for Good Graphing on the Computer:
From the insert menu on the Microsoft word program choose insert chart.
Identify the independent and dependent variables in your data.
The independent variable is plotted on the horizontal axis (x-axis) and the dependent variable is plotted on the vertical axis (y-axis).
Insert data in the excel window that opens. Be sure to pay attention to the excel column vs. graph axes location.
Through the toolbox menu, give the graph a title that clearly tells what the graph represents. (y vs. x variable).
Through the toolbox menu, give the axes in the graph labels that include units.
• Representing Data
Linear relationship – variables are proportionally related
Line of best-fit is a straight line but is not perfectly horizontal or vertical.
• Representing Data
Slope – is equal to the change in y divided by the change in x
Rise/run
Δy/Δx
• Representing Data
Interpolation – the reading of a value from any point that falls between recorded data points
When points on a line graph are connected, the data is considered to be continuous.
• Representing Data
Extrapolation – the process of estimating values beyond the plotted points.
The line of best fit is extended beyond the scope of the data
• Representing Data
Model – is a visual, verbal or mathematical explanation of experimental data.
Example
• Practice Problems
No homework
End 1:4
• 1:5 Scientific Method and Research
Goals and Objectives
Identify the common steps of scientific methods.
Compare and contrast types of data.
Identify types of variables.
Describe the difference between a theory and a scientific law.
Compare and contrast pure research, applied research, and technology
• Scientific Method and Research
Scientific Method – is a systematic approach and organized process used in scientific study to do research
Observation
Hypothesis
Experiments
Conclusion
• Scientific Method
Observation – is an act of gathering information.
Qualitative – information that describes color, odor, shape or other physical characteristic
Quantitative – information taken in the form of a measurement.
Temperature, pressure, volume, quantity, mass
• Scientific Method
Hypothesis – is a tentative explanation for what has been observed.
• Scientific Method
Experiments – is a set of controlled observations that test the hypothesis.
Independent variable – the variable that is controlled or changed incrementally.
Dependent variable – the value that changes in response to the independent variable.
Control – is a standard for comparison.
• Scientific Method
Conclusion – is a judgment based on the information obtained.
• Scientific Method
• Scientific Theory and Law
Theory – is an explanation of a natural phenomenon based on many observations and investigations over time.
Scientific Law- a relationship in nature that is supported by many experiments.
• Scientific Research
Pure research – is done to gain knowledge for the sake of knowledge itself.
Applied research – is research undertaken to solve a specific problem
• Practice Problems
CALM: 1:5
• What is data?
• What can data tell us?
• The END