Thursday, October 29, 2009

Lab 10: Evaluating Clinical Trials

Lab 10: Evaluating Clinical Trials

Warm Up: Before you would participate in a clinical trial what kinds of things would you want to know about the clinical trial?

Vocabulary:
1. control – the object that does not get changed in an experiment
2. data – information about an object
3. evidence – pieces of information gathered in an experiment
4. hypothesis – a scientific prediction based off of previous knowledge of a subject
5. qualitative – properties or characteristics that are used to identify things
6. quantitative – values that have been measured or counted
7. reproducible – an item that can be created again exactly the way the item was originally
8. sample size – the amount of people that an item is tested on
9. trade-offs – is something given up in selecting one alternative over another
10. variables – the one thing that is changing in an experiment

Elements of Good Experimental Design
- experiment builds on previous research
- experiment describes all steps in procedure clearly and completely
- experiment describes all data to be collected
- experiment keeps all variables, except the one being tested, the same
- experiment includes a control
- experiment has a large sample size
- experiment has enough trials
- experiment can be reproduced by other scientists
- experiment respects human and animal subjects

Reviewer Comments:
1.
Name of the Study (skip 1 line)

2.
What factors of good experimental design does the study include? (skip 4 lines)

3.
What factors of good experimental design does the study not include? (skip 4 lines)

4.
Describe any other comments you have about this study: For example, are you satisfied with the quality of background research? Do you think that this area of research is important? Do you have any ethical concerns? (skip 4 lines)

5.
Based on the comments you wrote above, would you fund this study as it is currently written? Why? (skip 4 lines)

Analysis/Conclusion:
1. Which study 1through 4 had the best experimental design? Explain.

2.Discuss your funding recommendations with your group. Do you agree on which studies, if any, should be funded? What other concerns do you have?

3.You find out that NIH has only enough money to fund one study and plans to fund the best one. Explain which study you would fund. Support your answer with evidence and identify the trade-offs of your decision. (To write a complete answer, first state your opinion. Provide two or more pieces of evidence that support your opinion. Then consider all sides of the issue and identify the trade-offs of your decision.)

4.Choose one of the studies. Review your comments about its experimental design and think about how the study could be improved. Rewrite the study to include your recommendation for improving the quality of the experiment.

Monday, October 26, 2009

Lab 9 Part Two: Designing Your Own Experiment

What is the purpose of your experiment?

What variable are you testing?

What is your hypothesis?

What variables will you keep the same?
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.

How many trials will you conduct?

Will you collect qualitative data and/or quantitative data? How will these data help you to reach a conclusion?

How will you record theses data?

Hypothesis:

Procedure:

Data Table:

Mrs. Smith’s approval _________

Analysis Questions:

5. What conclusions can you make based on the results of your experiment? Explain how your conclusions are based on the data collected during your experiment, and whether your hypothesis was supported or disproved.
6.a. In your experiment, what variables did you keep the same?
6.b. Were there any variables (except the one being tested) that you could not keep the same?
6.c. How could you improve the design of your experiment? Explain.

Monday, October 19, 2009

Lab 9 Part 1: Data Toss

Warm Up: There is a person trying to throw a ball into a trash can. Do you think the person should throw the ball underhand or overhand to have the best chance of getting the ball into the trash can? Why?

Vocabulary:
1. Data – information about an object
2. Hypothesis – a scientific prediction based off of previous knowledge of a subject
3. Qualitative data – properties or characteristics that are used to identify things
4. Quantitative data – values that have been measured or counted
5. Range – a set of values
6. Sample size – the mount of people that an item is tested on
7. Variable – the one thing that is changing in an experiment

Hypothesis:

Variables:
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
Procedure:

Data Table: My Data on Number of Complete Catches

Data Table: Class Data on Number of Complete Catches

Analysis Questions :
1. Explain whether your own data supported or disproved your hypothesis about the ability to catch a ball with two hands as compared to catching a ball with one hand.

2. Look at the class data
2.a. What was the range of students’ ability to catch a ball with one hand?

2.b. What was the range of students’ ability to catch a ball with two hands?

2.c. Use the class data to explain whether the ability to catch a ball increases when using two hands as compared to one.

3.a. What qualitative data did you collect in this activity?
3.b. What quantitative data did you collect in this activity?
3.c. Which type of data (qualitative or quantitative) was more useful for comparing results among the class members?
4. Your coach asks you whether she should continue to recommend that players on the team catch with two hands. Explain your recommendation and whether it is based on your own data or that of the class.

Wednesday, October 14, 2009

PE Uniform Requirements

(the uniform cannot have a symbol or writing bigger than a quarter)

Tops
*Color – Navy Blue, Grey, Black, White
*Type – crew neck t-shirt, crew neck sweatshirt
Bottoms
*Color – Navy Blue, Grey, Black, White
*Type – Shorts (need to follow school length policy), sweat pants
Sneakers
* need to have a non-marking bottom