1 / 26

Catalyst

Catalyst. Errors in Science. Two types of errors in science: human error and experimental error. Human Error. A human error is an error made by the scientist The most likely error in an experiment is human error. Unfortunately, we are not perfect 

coye
Download Presentation

Catalyst

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Catalyst

  2. Errors in Science Two types of errors in science: human error and experimental error

  3. Human Error • A human error is an error made by the scientist • The most likely error in an experiment is human error. Unfortunately, we are not perfect  • A human error makes the conclusion not valid. • Types of human errors: • Biases • Not following the procedures of an experiment (for example, missing or adding a step) • Making an error in measurement or calculation • Assuming a cause and effect relationship without data • Not having a controlled experiment

  4. Biases • Biases are wishesorexpectations that will lead to a certain conclusion • Can be intentional or unintentional • Some sources of biases: • Trying to persuade someone else • Relying onincomplete information • Past experiences are influencing you

  5. Biases in Action Ms. P thinks that Penn State is the best university in the nation! She conducts an experiment to see which college campus is the cleanest campus and she concludes that Penn State does.

  6. Biases: • Need to make careful observations • Example: Testing a drug, must measure the symptoms, not whether the patients say they feel better

  7. Procedure You must follow the procedures of an experiment exactly. If you make an error in the procedure, you must completely re-do the experiment!

  8. Making an Error in Measurement or Calculation Most frequent error  calculating change When calculating a change in an experiment, you must always do the final value minus the initial value Change =final - initial

  9. Examples of Not Calculating a Change Correctly After placing the rock in the graduated cylinder, Ms. Baggs said the volume of the rock was 30 ml. Remember – the volume of the rock is equal to the change in volume (final volume – starting volume) This is an example of human error because he made the mistake – if she was perfect, she would not have made this mistake!

  10. Another Example A farmer is trying to see what type of fertilizer has the largest change in height growth on his wheat. He measures the height of the wheat after each fertilizer has been administered. Remember, change = final – starting. What does the farmer know? Final - ????? How is he suppose to know how much it grew? He only know its final height. What if one started out much taller?

  11. Want kind of error is this? Example 1 Professor Messer is trying to measure the length of a piece of wood: Discuss what he is doing wrong. How many mistakes can you find?

  12. Human error Answers: • Measuring from 100 end • 95.4 is the wrong number • ‘mm’ is wrong unit (cm) • Hand-held object, wobbling • Gap between object & the rule • End of object not at the end of the rule

  13. Cause and Effect In order to assume a cause and effect relationship has occurred, there has to actually beproofof a cause and effect!!! You need to back, back, back that up with evidence. You must have experimental data that proves there is a cause an effect relationship between your independent and dependent variable, before assuming there is one.

  14. Annie could hear the music playing over the loud speaker in the mall. She and her mother were shopping for a present for her father. Annie could see a big line in the center of the mall. She wondered what all the people were waiting for. She then heard a jolly "HO! HO! HO!" from the center of the crowd and she quickly realized what the people were waiting on. As Annie and her mother walked through the mall, she noticed that the store windows were decorated with green, white, and red decorations.

  15. It actually was not Santa… It was the Allstate guy promoting insurance at Christmas time!!!!

  16. Controlled Experiments • You also need to make sure your experiment is controlled. • A controlled experiment has: • ONEindependentvariable andONEdependent variable • Control group and experimental group • All other variables are controlled (control variables)

  17. Control Variables • For example, if Mary wanted to see the effect of saltwater on plant growth, she needs to use the same type of plant, give it the same amount of sunlight, the same amount of water, etc. She also needs to compare it to a plant with regular water in order to make a conclusion. • Example: Juan wanted to see how the amount of food given to a dog affects its energy level. He has two dogs at home: a small poodle and a big Lab. Can he use these two dogs and only these two dogs in his experiment? Why or why not?

  18. Think, Pair, Share! 1. I will show an experiment and ask you a question about it. 2. You will have 10 seconds to think about the answer by yourself. This step should be completed silently. 3. Then you and your partner will come share your ideas. 4. 1 group will be cold called to share their answer.

  19. Example #1 Two birds are fed different types of bird seed to determine which type causes the bird to gain more weight. Which of the following would be an experimental error? A. The birds are different species. B. The birds are allowed to eat all the seed they wanted. C. The birds are exposed to different amounts of light and heat. D. All of the above.

  20. Two birds are fed different types of bird seed to determine which type causes the bird to gain more weight. Which of the following would be an experimental error? We can only have ONE independent variable, which means we can only change one thing! The ONLY thing we should be changing is the type of seed! A. The birds are different species. they have to be the same species B. The birds are allowed to eat all the seed they wanted.  they need to eat the same amount of seed!! C. The birds are exposed to different amounts of light and heat.  the need to be exposed to the same amount of light! D. All of the above.

  21. Example #2 Jonquil decides to test the effect of light exposure on the growth rate of a particular species of plant. He sets up his experiment as shown above and measures the height of the plants each day for a month. He makes sure to water the plants daily, each with the same amount of water. After collecting and analyzing the data, he notices that there is little variation in the height of the plants. Even though the plants received different amounts of light from each lamp, they are all the same height. Jonquil is surprised by these results. What should he have done differently? A. Measured the plants more often B. Used the same amount of light C. Moved the plants away from the window

  22. Example #3 Ms. Vekilov was raving about how well she could bake. Ms. P got tired of listening to her and decided to have a bake off to settle Ms. Vekilov once and for all. Both teachers bakes they’re best desserts and handed them out in class. As Ms. Vekilov handed hers out she talked about how delicious they were to each student. What kind of error is taking place?

  23. Experimental Error • Not always a mistake • Difference between the “true” measurement and what you measure • Occurs because no one is perfect and because tools are not perfect • Example: Measuring a seed length: • One scholar measures 6 mm, another scholar measures 7 mm. Actual is 6.5 mm

  24. Experimental Error • Too much = NOT valid conclusion. • Limit error: • repeat measurements and average • Have several trialsin your experiment

  25. Summary Any human error = invalid experiment Any experimental error = could still be a valid experiment

  26. Error Stations Work with a group of 4 You will be given 4 minutes at each station to read the experiment and answer the questions

More Related