Notes Date Tennessee SPI Objective: SPI 0807.Inq.5 (Bias and Error) Date Tennessee SPI Objective: Identify a faulty interpretation of data that is due to bias or experimental error. Instructions for Students 1) Make sure you view this presentation in slideshow mode. 2) You can find instructions about how to do this by doing a Google search or by searching YouTube. 3) After you have it in slideshow mode, press the right-arrow keyboard button to advance through the presentation. 4) If you need help, please communicate with your teacher. Essential Question(s) 1) What is bias, and why is it important to avoid this in science experiments? 2) What is an error, and why is it important to avoid this in science experiments? Check for Understanding Examine flawed scenarios from history that included either bias or errors.

Bias and Error in Science SPI 0807.Inq.5 Bias and Error Notes Science Bias and Error in Science Bias: this means you are prejudiced towards or against something and that you allow your views to affect the results of your experiment. Science is about obtaining accurate results so bias should NEVER be allowed to influence your experimental results! Bias is Very Bad! Bias Bias

Example: You are doing research to determine which NFL quarterback has the greatest accuracy with throwing a football, and your favorite football team is the Tennessee Titans. You are disappointed to learn that the Titans' quarterback is the second most accurate instead of the first. Yet because this is your favorite team, you change the data so that this quarterback appears to be the most accurate. This is BIAS, and it should NEVER be allowed in science.

Identify the bias or error in this situation Example: Bubba loves extra salt on his “French-fried taters.” He conducts an experiment to determine how much better french-fries taste with lots of extra salt. Identify the bias or error in this situation ANSWER: Because Bubba likes extra salt on his fries, he wrongly assumes that everyone else will like extra salt too. He is biased toward salt, so his results will contain errors. BIAS should NEVER be allowed in science experiments!

BIAS should NEVER be allowed in science experiments! A Case of Bieber Fever Two students who love Justin Bieber’s music do an experiment to measure how long people have to hear one of Justin’s songs before they too fall in love with his sound. Question: Which choice below most likely will occur in this case? A) Bias C) Song and Dance B) End of the world D) World Peace Answer: These two students are biased towards Justin Beiber, so their results will probably be biased and wrong too. BIAS should NEVER be allowed in science experiments!

Solutions to Bias in Science SPI 0807.Inq.5 Bias and Error Notes Science Solutions to Bias in Science Humans are imperfect, so bias happens both intentionally and unintentionally. Ways to Reduce and/or Eliminate Bias Be aware that bias can and does happen. Strive to recognize it, and eliminate it from your experiments. Follow the steps and principles of the scientific method. Most importantly, make sure that others rigorously review your work looking for bias.

Famous Examples of Bias in Science SPI 0807.Inq.5 Bias and Error Notes Science Thomas Edison and Direct Current Electricity Thomas Edison

Nearly all electricity generated today is AC Edison Tesla Famous Examples of Bias in Science DC vs AC (Edison vs Tesla: 1880s) Edison promoted direct current electricity (DC), but Nikola Tesla promoted alternating current (AC). Bias: Experiments had clearly demonstrated that alternating current was more practical and less expensive. Yet Edison was biased for DC and refused to yield. Nearly all electricity generated today is AC

Famous Examples of Bias in Science SPI 0807.Inq.5 Bias and Error Notes Science Dr. Hwang Wook Suk and Cloning Technology Dr. Hwang Woo Suk

Famous Examples of Bias in Science Cloning Technology (Dr. Hwang Woo Suk) In 1999 he claimed to have cloned a cow. In 2004 he claimed to have cloned human stem cells. In 2005 he claimed to have cloned a dog. Bias: He had fabricated and/or deleted experimental data. In 2006 he was dismissed from Seoul National University, and he was indicted for fraud, embezzlement, and violations of bioethics laws.

Notes Science Errors in Science SPI 0807.Inq.5 Bias and Error Notes Science Errors in Science Avoid Mistakes: One small error can result in all your experimental data being wrong. So scientists work very hard to avoid making mistakes. Peer Review: One key way scientists deal with this issue is by having other scientists review their work to check for mistakes. This very common practice is called peer review.

Notes Science To Avoid Mistakes: SPI 0807.Inq.5 Bias and Error Notes Science To Avoid Mistakes: Make sure you are following the steps of the scientific method. Make sure you have only one independent variable at a time. Make sure you correctly identify your dependent variables. Make sure you include valid control experiments. Make sure you record in detail every step of your experiment. Ask someone else to review all your work (peer review).

Famous Errors in Science SPI 0807.Inq.5 Bias and Error Notes Science Famous Errors in Science Mars Climate Orbiter:

Famous Errors in Science Cost of this mistake: $327 million dollars SPI 0807.Inq.5 Bias and Error Notes Science Famous Errors in Science Mars Climate Orbiter: Launched by NASA in December 1998, this robotic spacecraft was designed to study weather on Mars. Expensive Mistake: A design team used standard units (pounds- seconds) while a different design team used metric units (newtons- seconds). So instead of orbiting Mars, the spacecraft crashed to the surface of the red planet. Cost of this mistake: $327 million dollars

Famous Bias and Errors in Science Astronomer: Percival Lowell SPI 0807.Inq.5 Bias and Error Notes Science Famous Bias and Errors in Science Canals on Mars Astronomer: Percival Lowell

Famous Bias and Errors in Science SPI 0807.Inq.5 Bias and Error Notes Science From 1894 to 1908 Percival studied the planet Mars with a large telescope.

Famous Bias and Errors in Science He was biased about this. SPI 0807.Inq.5 Bias and Error Notes Famous Bias and Errors in Science Science Percival was fascinated about the possibility of intelligent life on Mars. He was biased about this. He observed hazy images of the surface of Mars His bias lead him to make significant errors about what he saw. He wrongly concluded that the features on Mars were canals built by extraterrestrials (Martians) Later observations by others confirmed that there are no canals or signs of intelligent Martian life.

SPI 0807.Inq.5 Bias and Error Questions Science

SPI 0807.Inq.5 Bias and Error Questions Science

SPI 0807.Inq.5 Bias and Error Questions Science

SPI 0807.Inq.5 Bias and Error Questions Science