Experimental Design B/C

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caseyotis
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Re: Experimental Design B/C

Postby caseyotis » April 18th, 2013, 6:53 pm

mrburrito wrote:I wish I went to your regionals, that sounds fun.


The cantilever? Or the state competition paper airplane thing? Yeah, that does, actually. But it's really easy.
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Re: Experimental Design B/C

Postby Cjkowalcz » April 18th, 2013, 7:26 pm

He is talking about the paper airplane thing, and Blwrunner accidentally made a typo. It was our regional competition that had to do with paper airplanes.
2014 Rustin Invitational:
Entomology: 5th
Experimental Design: 1st
2014 Regionals:
Entomology: 3rd
Meteorology: 2nd
Experimental Design: 1st
2014 States:
???
Medal Count: 14 (Hoping for 15 after my last B-division States ;))

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Re: Experimental Design B/C

Postby Blwrunner » April 19th, 2013, 10:47 am

What are you talking about CJ.
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2013 Comet Invitational:

Experimental Design- 1st place
Metric Mastery- 2nd place
Water Quality- 2nd place


2013 Regionals

Water Quality- 1st place
Write it/do it- 3rd place
Forestry- 4th place

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Re: Experimental Design B/C

Postby caseyotis » April 19th, 2013, 12:16 pm

Oh. xD Well, yeah, that does sound pretty fun. The cantilever was kind of stupid, in my opinion, because it was too hard to control.
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Re: Experimental Design B/C

Postby mrburrito » April 19th, 2013, 4:23 pm

Cjkowalcz wrote:He is talking about the paper airplane thing, and Blwrunner accidentally made a typo. It was our regional competition that had to do with paper airplanes.


I meant the cantilever, but the airplanes sound cool.
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Re: Experimental Design B/C

Postby 49ers » April 20th, 2013, 10:37 am

When the rules state "any other relevant statistics" what would this entail? Are there any that I should really know for a State level competition?
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Re: Experimental Design B/C

Postby caseyotis » April 20th, 2013, 5:46 pm

49ers wrote:When the rules state "any other relevant statistics" what would this entail? Are there any that I should really know for a State level competition?


Under "statistics," (at least, for B; I don't know whether or not this will be useful to you) you should definitely have the mean, median, mode, range, and possible outliers in your data. A great thing to include for states is standard deviation (it's hard to explain, and something online would probably do a better job of explaining it than me anyways). Tables look nice to show this data. xP
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Re: Experimental Design B/C

Postby hc1220 » April 20th, 2013, 5:48 pm

I usually don't include a mode, unless there actually is one. Usually there isnt
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Re: Experimental Design B/C

Postby Cjkowalcz » April 21st, 2013, 7:24 am

Same here. Most of my experiments include accurate measurements, and answers never come out the same, so I can hardly ever include a mode.
2014 Rustin Invitational:
Entomology: 5th
Experimental Design: 1st
2014 Regionals:
Entomology: 3rd
Meteorology: 2nd
Experimental Design: 1st
2014 States:
???
Medal Count: 14 (Hoping for 15 after my last B-division States ;))

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Re: Experimental Design B/C

Postby caseyotis » April 21st, 2013, 7:30 am

Well, if applicable, those things. :lol:
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Re: Experimental Design B/C

Postby Blwrunner » April 23rd, 2013, 10:27 am

What kind of graph do you recommend I do for states? Also I was wondering if anyone has a good website that explains standard deviation.
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2013 Comet Invitational:

Experimental Design- 1st place
Metric Mastery- 2nd place
Water Quality- 2nd place


2013 Regionals

Water Quality- 1st place
Write it/do it- 3rd place
Forestry- 4th place

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Re: Experimental Design B/C

Postby JustDroobles » April 23rd, 2013, 12:07 pm

Blwrunner wrote:What kind of graph do you recommend I do for states? Also I was wondering if anyone has a good website that explains standard deviation.

A quantitative experiment is the best kind of experiment to try to easily hit all of the points on the rubric. This means your independent variable and dependent variable should be numbers. If you do a quantitative experiment, you should should make a scatter plot with the independent variable on the x-axis and the dependent variable on the y-axis. Plot each of your trials. Then, for Division B, you draw in an approximate "line of best fit". This is one smooth line that shows the average trend of the data. This line does NOT "connect the dots". There should be about an equal number of points on each side of the line. Example: http://hotmath.com/hotmath_help/topics/ ... it-e-2.gif

(By the way, a common mistake I see for scatter plots is the use of trial number as an axis. You should not use the trials at all to determine the location of the points. However, it can be helpful to make each trials a different shape or color on the graph with a key to indicate which point is which trial.)

If you end up doing a qualitative experiment, which means your independent variables are either general qualities or different objects (examples: apple, a banana, and an orange OR red, blue, green, basically not numbers) then you should use a bar graph. The x-axis should be the independent variable and the y-axis should be the dependent variable. Your bars can be either each separate trial, or the average of all trials for each separate independent variable with error bars to show your standard deviation.

The following is a pretty good guide to standard deviation.
http://www.mathsisfun.com/data/standard-deviation.html
Something important to note is whether you use N or N-1 when dividing - you probably should be using N-1, because I doubt you will ever take a sample for an entire population in Experimental Design.

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Re: Experimental Design B/C

Postby nejanimb » April 23rd, 2013, 12:15 pm

I wrote this set of annotations for a friend who would be running Experimental Design and what to do with scoring. I thought it might be helpful for some of you, since it explains (more or less) how to get all of the points on the rubric. Which is totally doable.

http://cl.ly/text/0z1B0f2r0A3i
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Re: Experimental Design B/C

Postby sturmde » April 24th, 2013, 2:38 pm

hc1220 wrote:I usually don't include a mode, unless there actually is one. Usually there isnt


When I score this event, I would always credit someone for saying "there is no mode" whereas if you say nothing, you get nothing. Always note whether a mode exists or not if the data has multiple points.

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Re: Experimental Design B/C

Postby hc1220 » April 24th, 2013, 3:38 pm

Ok thank you. I'll definitely do that at Nats! :)
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