Topic 11: Measurement and Data Processing Honors Chemistry Mrs. Peters Fall 2014
What is Chemistry? Chemistry is the study of the composition of matter and the changes that matter undergoes. What is matter? – Anything that takes up space and has mass What is change? – To make into a different form
Scientific Process Steps to Scientific Process: 1.Observations: Use your senses to obtain information directly 2.Problem: propose a question based on your observations 3.Hypothesis: Propose an explanation of your problem (If…, then… statement)
Scientific Process Steps to Scientific Process: 4. Experiment: Materials list and procedure to test your hypothesis 5. Results: Collection of experiment’s data and analysis of data 6. Conclusion: statements about what your experiment found based on the data collected
Measurement in Chemistry Use the International System of Units (SI) –Aka: the metric system QuantityUnitSymbol Lengthmeterm VolumeliterL Massgramg TemperatureDegree Celcius oCoC DensityGrams per cubic cm or grams per milliliter g/cm 3 or g/mL
Metrics for Honors Chemistry Scientific Units and Devices DeviceUnitMeasurement BalanceGrammass Graduated cylinder Litervolume Meter StickMeter Length or distance ThermometerCelsiustemperature ClockSecondTime
Measurement in Chemistry Devices to use for taking measurements: – Balance – mass, usually in grams – Ruler – length, usually in cm or mm – Thermometer: temperature, usually in o C – Graduated cylinder: volume, usually in mL
Metrics for Honors Chemistry Metric Prefixes M K H D _ d c m_ _ Mega (M) 10 6 Kilo (K) 10 3 Hecta (H) 10 2 Deca (D) 10 1 ORIGIN: meter, liter, gram deci (d) centi (c) milli (m) micro ( ) 10 -6
U 2. Scientific Notation Scientific Notation is useful for very small and very large numbers is written as 4.50 x is written as 7.7 x 10 8
U 2. Scientific Notation To Convert into Scientific Notation: move the decimal point so only 1 non-zero digit is to the left of the decimal point. if you move the decimal point to the left, the power of 10 will be positive (the number is the number of spaces moved) if you move the decimal point to the right, the power of 10 will be negative.
U 2. Scientific Notation Scientific Notation Practice 3,600 = 3.6 x = 7.52 x ,732, = ? = ?
U 2. Scientific Notation To Convert out of Scientific Notation: if the power of 10 is positive move the decimal point to the right the power number of places if the power of 10 is negative move the decimal point to the left the power number of places.
U 2. Scientific Notation Scientific Notation: 8.1 x = x 10 8 = x 10 4 = ? x = ?
U 2. Scientific Notation Scientific Notation Calculations Addition/ Subtraction: exponents must be the same, adjust each number to the same exponent, then add or subtract as usual.
U 2. Scientific Notation Scientific Notation Calculations Ex: 5.40 x x 10 2 = convert 6.0x 10 2 to 0.60 x x x 10 3 = 6.00x 10 3
U 2. Scientific Notation Scientific Notation Calculations Multiplication: multiply the coefficients, then add the exponents. (3.0x 10 4 ) x (2.0 x 10 2 ) = 6.0 x 10 6
U 2. Scientific Notation Scientific Notation Calculations Division: divide the coefficients, then subtract the exponents. (3.0 x 10 4 ) / (2.0 x 10 2 ) = 1.5 x 10 2
U 2. Sig Figs Significant Figures (sig figs): the digits in a measurement up to and including the first uncertain digit Ex: 62 cm 3 = 2 sig figs; g = 5 sig figs
U 2. Sig Figs Rules for Counting Sig Figs 1.Every nonzero digit represented in a measurement is significant m has 3 sig figs has 4 sig figs has ? sig figs has ? sig figs
U 2. Sig Figs Rules for Counting Sig Figs 2.Zeros appearing between non zero digits are significant has 4 sig figs has 5 sig figs has ? sig figs has ? sig figs
U 2. Sig Figs Rules for Counting Sig Figs 3. Zeros ending a number to the right of the decimal point are significant has 4 sig figs has 6 sig figs 1, has ? sig figs has ? sig figs
U 2. Sig Figs Rules for Counting Sig Figs 4. Zeros starting a number or ending the number to the left of the decimal point are not counted as significant has 2 sig figs has 4 sig figs 870,600 has ? sig figs has ? sig figs
U 2. Sig Figs General Rule for Counting Sig Figs Start on the left with the first nonzero digit. End with the last nonzero digit OR with the last zero that ends the number to the right of the decimal point
U 2. Sig Figs Sig Fig Practice In your notes: copy the problem and write the number of sig figs for each number g g g g g
U 2. Sig Figs Sig Fig Calculations 1.Adding/Subtracting: the number of decimal places is important, answer should have same number of decimal places as the smallest number of decimal places 7.10 g g = g g – g = 7.20 g
U 2. Sig Figs Sig Fig Calculations 1.Adding/Subtracting: 3.45 g g = g – 5.46 g =
U 2. Sig Figs Sig Fig Calculations 1.Adding/Subtracting: In your notes: copy the problems and solve = 2.2 – = = – 77.7 = – –
U 2. Sig Figs Sig Fig Calculations 2. Multiplying/Dividing: the number of sig figs is important, the number with the least number of sig figs determines sig figs in the answer kg x 7.2 o C x 4.18kJ kg -1 o C -1 = kJ round to 3.8 kJ 7.55 m x 0.34 m =
U 2. Sig Figs Sig Fig Calculations 2. Multiplying/Dividing : In your notes: copy the problems and solve x = 2.2 / = x 5 = / 77.7 = x / x x
U 2. Sig Figs Sig Fig Calculations 1 & 2. Sig. Fig. Combined Practice. In your notes: copy the problems and solve g g = ml – ml = g x 23.4 g = g / 5.36 g =
U 2. Density Density: The ratio of the mass of an object to its volume Density = Mass Volume units = g/cm 3 (solid & liquid) or g/L (gases)
U 2. Density How would you determine the density of: 1.A regularly shaped object (such as a rectangular shape)? 2.An irregularly shaped object (such as a rock)? 3.A liquid?
U 2. Density Determine the density of: 1.Wooden block 2.Rubber stopper 3.Aluminum 4.Ethanol 5.Water
U 2. Density Calculate the percentage error of your density, according to the following accepted values: 1.Wooden block = 0.50 g/cm 3 2.Rubber stopper = 1.3 g/cm 3 3.Aluminum = 2.70 g / cm 3 4.Ethanol = 0.79 g/mL 5.Water = 1.00 g/mL
U 2. Density Ex: a piece of lead has a volume of 10.0 cm 3 and a mass of 114 g, what is it’s density? 114g/ 10.0cm 3 = 11.4 g/cm 3
11.1 Uncertainty and errors in measurements EI: All measurement has a limit of precision and accuracy, and this must be taken into account when evaluating experimental results. NOS: Making quantitative measurements with replicated to ensure reliability – precision, accuracy, systematic, and random errors must be interpreted through replication
U1 & U2. Types of Data Qualitative Data Non-numerical data Usually observations made during an experiment Use your senses, with exception to taste EX: color, texture, smell, luster, temperature Quantitative Data Numerical data Measurements collected during the experiment EX: 5.64 g, 9.25mm
A & S 8. Distinguish between precision and accuracy Precision: how close several experimental measurements of the same quantity are to each other Accuracy: how close a measured value is to the actual value
A & S 8. Precision and Accuracy Low accuracy, low precision Low accuracy, high precision High accuracy, low precision High accuracy, high precision
A & S 7. Calculating Error Error: the difference between the accepted value and the experimental value – Accepted value: the correct value based on reliable resources (aka literature, actual or theoretical value) – Experimental value: value measured in the lab Error = experimental value - accepted value
A & S 7. Calculating Percent Error Percent Error: the relative error, shows the magnitude of the error Percent Error = I error Ix 100 accepted value
11.1 Uncertainty and Error in Measurement Measurement is important in chemistry. Many different measurement apparatus are used, some are more appropriate than others.
11.1 Uncertainty and Error in Measurement Example: You want to measure 25 cm 3 (25 ml) of water, what can you use? – Beaker, volumetric flask, graduated cylinder, pipette, buret, or a balance – All of these can be used, but will have different levels of uncertainty. Which will be the best?
A & S 1. Systematic Errors Systematic Error: occur as a result of poor experimental design or procedure. – Cannot be reduced by repeating experiment – Can be reduced by careful experimental design
A & S 1. Systematic Errors Systematic Error Example: measuring the volume of water using the top of the meniscus rather than the bottom Measurement will be off every time, repeated trials will not change the error
A & S 1. Random Error Random Error: imprecision of measurements, leads to value being above or below the “true” value. Causes: – Readability of measuring instrument – Effects of changes in surroundings (temperature, air currents) – Insufficient data – Observer misinterpreting the reading Can be reduced by repeating measurements
A & S 1: Random and Systematic Error Systematic and Random Error Example Random: estimating the mass of Magnesium ribbon rather than measuring it several times (then report average and uncertainty) g, g, g, g, g, g Avg Mass= g
A & S 1: Random and Systematic Error Systematic and Random Error Example Systematic: The balance was zeroed incorrectly with each measurement, all previous measurements are off by g g, g, g, g, g, g Avg Mass =
A & S 8. Distinguish between precision and accuracy in evaluating results Precision: how close several experimental measurements of the same quantity are to each other – how many sig figs are in the measurement. – Smaller random error = greater precision
A & S 8. Distinguish between precision and accuracy in evaluating results Accuracy: how close a measured value is to the correct value – Smaller systematic error = greater accuracy Example: masses of Mg had same precision, 1 st set was more accurate.
U 5. Reduction of Random Error Random errors can be reduced by – Use more precise measuring equipment – Repeat trials and measurements (at least 3, usually more)
A & S 2. Uncertainty Range (±) Random uncertainty can be estimated as half of the smallest division on a scale Always state uncertainty as a ± number
A & S 2. Uncertainty Range (±) Uncertainty Example: – On an electronic balance the last digit is rounded up or down by the instrument and will have a random error of ± the last digit. – Our balances measure ± 0.01 g
State uncertainties as absolute and percentage uncertainties Absolute uncertainty – The uncertainty of the apparatus – Most instruments will provide the uncertainty – If it is not given, the uncertainty is half of a measurement – a thermometer measures in 1 o C increments, uncertainty is ±0.5 o C; absolute uncertainty is 0.5 o C Percentage uncertainty = (absolute uncertainty/measured value) x 100%
Determine the uncertainties in results Calculate uncertainty Using a 50cm 3 (mL) pipette, measure 25.0cm 3. The pipette uncertainty is ±0.1cm 3. What is the absolute uncertainty? 0.1cm 3 What is the percent uncertainty? 0.1/25.0 x 100= 0.4%
Determine the uncertainties in results Calculate uncertainty Using a 150 mL (cm 3 ) beaker, measure 75.0 ml (cm 3 ). The beaker uncertainty is ± 5 ml (cm 3 ). What is the absolute uncertainty? 5 ml (cm 3 ) What is the percent uncertainty? 5/75.0 x 100= 6.66% 7%
Determine the uncertainties in results Percent error = I error lx 100 accepted When… Percent error > Uncertainty – Systematic errors are the problem Uncertainty > Percent error – Random error is causing the inaccurate data
Determine the uncertainties in results Error Propagation: If the measurement is added or subtracted, then absolute uncertainty in multiple measurements is added together. If you are trying to find the temperature of a reaction, find the uncertainty of the initial temperature and the uncertainty of the final temperature and add the absolute uncertainty values together.
Determine the uncertainties in results Error Propagation: If the measurement requires multiplying or dividing: percent uncertainty in multiple measurements is added together. If you are trying to find the density of an object, find the uncertainty of the mass, the uncertainty of the volume, you add the percent uncertainty for each to get the uncertainty of the density.
Determine the uncertainty in results Uncertainty in Results (Error Propagation) 1. Calculate the uncertainty a. From the smallest division (on a graduated cylinder) b. From the last significant figure in a measurement (a balance) c. From data provided by the manufacturer (printed on the apparatus) 2. Calculate the percent error 3. Comment on the error a. Is the uncertainty greater or less than the %error? b. Is the error random or systematic? Explain
11.2 Graphing EI: NOS:
Sketch graphs to represent dependencies and interpret graph behaviour Graphs are used to present and analyze data. – show the relationship between the independent variable and the dependent variable Independent Dependent Example Graph
Sketch graphs to represent dependencies and interpret graph behaviour Variables: Independent- the cause, plotted on the horizontal axis (x-axis) AKA: Manipulated Dependent- the effect, plotted on the the vertical axis (y-axis) AKA: Responding Independent Dependent Example Graph
Construct graphs from experimental data Graphs MUST have: A title Label axes with quantities and units Use available space as effectively as possible Use sensible linear scales- NO uneven jumps Plot ALL points correctly Time (min.) Mass (g) Candle Mass After Burning
Draw best fit lines through data points on a graph Best Fit Lines should be – drawn smoothly and clearly – Do not have to go through all the points, but do show the overall trend Time (sec) Temperature ( o C)
Determine the values of physical quantities from graphs Find the gradient (slope) and the intercept Use y = m x + b for a straight line y= dependent variable x = independent variable m= the gradient (slope) b = the intercept on the vertical (y) axis Ex: to find the slope (m), find 2 data points (2,5) and (4, 10) m= (y 2 -y 1 ) = (10-5) = 5 = 2.5 (x 2 -x 1 ) (4-2) 2
Determine the values of physical quantities from graphs Extrapolation: when a line has to be extended beyond the range of the measurements of the graph to determine other values – Absolute zero can be found by extrapolating the line to lower temperatures.
Determine the values of physical quantities from graphs Interpolation: determining an unknown value using data points within the values already measured
Determine the values of physical quantities from graphs Error