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Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value . How close are you to the Bulls Eye!!! It does not matter if you are above or below.
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Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Jan 12, 2016

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Gwenda Hudson
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Page 1: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Accuracy and Error

• Accuracy - a measure of how close your measurement is to the accepted value.• How close are you to the

Bulls Eye!!!• It does not matter if you

are above or below.

Page 2: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Bean Bag Champions Toss

• Be in groups of 4

• Follow the lab sheet instructions

• Only DO part 1, we will work with the data tomorrow

Page 3: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Accuracy and Error

• Error - the difference between your measurement and the accepted value.

Page 4: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Accuracy and Error

• Absolute Error (Ea) - the absolute difference between your measured value and the accepted value.

Page 5: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Accuracy and Error

Ea = |O – A|•Where• Ea is the Absolute Error• O is the Observed

(Measured) Value• A is the Accepted Value

Page 6: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Bean Bag Toss Champions

• Using the formula for Absolute Error, calculate from the your data collected

Page 7: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Accuracy and Error

•Relative Error (Er) - the size of the absolute error as a percentage of the accepted value.

Page 8: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Accuracy and Error

Er = (Ea/A) x 100

•Where:

• Er is the Relative Error

• Ea is the Absolute Error

• A is the Accepted Value

Page 9: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

• Calculate the Percent Relative Error for your Bean Bag data

Page 10: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Precision and Deviation

• Precision - the agreement between a single measurement and the average of all of the measurements made the same way.

Page 11: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Precision and Deviation

•REMEMBER: A precise measurement may not be an accurate measurement.

Page 12: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Precision and Deviation

•Deviation is the difference between the one measurement and the mean (average) of all of the measurements.

Page 13: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Precision and DeviationDa = |O – M|

Where:

- Da is the Absolute Deviation.

- O is the Observed (Measured) value.

- M is the Mean (Average) of several measurements made in the same way.

Page 14: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

• Calculate the absolute deviation for your Bean Bag toss

Page 15: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Precision and Deviation

•Relative Deviation (Dr) - the size of the absolute deviation as a percentage of the mean (average) value.

Page 16: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Precision and Deviation

Dr = (Da/M) x 100• Where:• Dr is the Relative Deviation.

• Da is the Absolute Deviation.• M is the Mean (Average) of

the set of measurements.

Page 17: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

• Calculate the Percent Relative Deviation from the bean bag toss

• Talk with your team and answer the follow up questions

Page 18: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Scientific Notation

• Scientific Notation is also called exponential notation because exponents (powers of 10) are used to make it simpler to write large numbers.

Page 19: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Scientific Notation

• Scientific Notation is also called exponential notation because exponents (powers of 10) are used to make it simpler to write large numbers.

• Example: 2,300,000 can also be written as 2.3 x 106

Page 20: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Scientific Notation

• The first two numbers (2.3) are referred to as the coefficient and consist of the significant figures in the original number. The last number is the power of 10 which is also called the exponent.

Page 21: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Scientific Notation

• This method also works for very small numbers.

• Example: 0.00045 can also be written as 4.5 x 10-4

Page 22: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Significant FiguresArrow Rule for Significant Figures

1. If a number does not have a decimal, draw an arrow from the right to the left until you hit a nonzero figure. All figures to the left of the end of the arrow are significant.

Page 23: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Significant Figures

Arrow Rule for Significant Figures

2. If a number has a decimal, draw an arrow from the left to the right until you hit a nonzero figure. All figures to the right of the end of the arrow are significant.

Page 24: Accuracy and Error Accuracy - a measure of how close your measurement is to the accepted value. How close are you to the Bulls Eye!!! It does not matter.

Calculations and Significant Figures

• After you perform the calculation, the final answer must reflect the value with the fewest significant figures. The least precise measurement controls the number of significant figures.