Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113 2.2 Dealing with Errors Random Errors – occur because of random and inherently unpredictable events in the measurement process. Random errors can not be corrected. However, they can be minimized by making many measurements and find the mean. (i.e. measuring the decibels of a band, at a concert) Systematic Errors – occur when there is a problem in the measurement system. Systematic errors can be corrected if they are discovered. (i.e. A scale is 2 pounds heavy →calibration error) ---A little inaccuracy sometimes saves a ton of explanation--- 2.2 Dealing with Errors Absolute Error – describes how far a measured value lies from the actual value; it is the difference between the measured value and the actual: (Usually state as absolute value, but the sign signifies too high or too low) absolute error = measured value – actual value Relative Error – compares absolute error to the size of the actual value and can be expressed as a percentage: relative error = measured value – actual value X 100% actual value 2.2 Dealing with Errors Examples: Absolute error: I am driving 57 mph and radar measures my speed at 53 mph. 53 57 4 Relative error: I weigh 230 pounds but the scale reads 225. 225 230 100% 2% 230 2.2 Dealing with Errors Accuracy vs. Precision: Accuracy – describes how closely a measurement matches an actual value. An accurate measurement is very close to the actual value. (i.e. Measure an angle at 73 degrees, actual angle is 73.3 degrees) Precision – describes the amount of detail in a measurement (i.e. The cows produced 949.54 gallons of milk is more precise than the cows produced 950 gallons of milk.) 2.2 Dealing with Errors 2.2 Dealing with Errors Find the absolute and relative error for each situation: Your actual weight is 200 lbs and the scale reads 202 lbs. Absolute: too high by 2 lbs Relative: too high by 1% The government claims that a program costs $99 billion, but an audit finds that it actually cost $100 billion. Absolute: too low $1 billion Relative: too low by 1% You’re building a deck. You figure you need 180 sq ft of decking to complete the deck. You actual need 150 sq ft. Absolute: too high 30 sq ft Relative: too high 20% 2.2 Dealing with Errors Accuracy and Precision: Suppose that you actually weigh 115.4 pounds. The scale at the doctor’s office, which can be read only to the nearest quarter pound, says that you weigh 115 ¼ pounds. The scale at the gym, which gives a digital readout to the nearest 0.1 pound, reads 119.7 pounds. Which scale is more accurate? Which is more precise? The scale at the doctor’s is more accurate. The scale at the gym is more precise. When studying tax brackets, your income is $51,000, one bracket measures in thousands of dollars the other in hundreds of dollars. Which is more precise? The bracket measured in hundreds of dollars is more precise. Two censuses are conducted one says your hometown has 4000 people the other claims there are 6000 people. Which census is more accurate? Equally accurate 2.2 Dealing with Errors Summary: Errors can occur in many ways, but generally two types: random errors and systematic errors Random errors are errors resulting from random mistakes in reading, recording, and evaluating data. Whatever the source of an error, it can be described in two different ways: absolute or relative Once a measurement is reported, we can evaluate it in terms of its accuracy and its precision ----Mistakes are the portals of discovery--James Joyce 2.2 Dealing with Errors Homework #6: Pg 65 # 5-19 and 27-37 odd --A man of genius makes no mistakes. His errors are volitional and are the portals of discovery.--