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Analyzing and Collecting Data
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NASA Why? Files segment explaining how to form hypotheses, collect data, and build data matrices.
Hi, I'm Dr. Karla Lottarella at the NASA Langley Research Center.
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Hi, we're trying to solve the problem of the barking dogs.
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I might be able to help you.
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We collect a lot of data here.
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That's how we understand problems so we can solve them.
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Right now we're developing a flight simulation experiment so we can test a new display idea.
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We'll collect data from pilots to see if they can fly you and your family around more safely
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with our new display as opposed to the old one.
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We've received a lot of emails from neighborhoods.
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We really need to know the best way to keep track of all this data.
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How do you sort and collect your data?
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Well, first we start with a question or a statement of what we think is happening.
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We call that statement a hypothesis.
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So for example, in my case, I hypothesize that the new display will be better than the
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old display and that that will be true for both younger and older pilots.
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The data we collect will fill in the test matrix.
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Each data point can be considered an observation.
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In my experiment, I'm using the computer and sensors in the computer to take these observations.
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You can also take direct observations by looking at things yourself or indirect observations
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by asking other people to report things to you.
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How do we know if data is important to our problem?
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Well, hopefully your data supports your hypothesis.
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That means that the conditions you thought were important actually did influence your
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measures.
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If it doesn't, then you might want to collect some more data, some different data, or rethink
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your hypothesis.
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This is great.
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Remember the matrix Dr. D showed us in the stink problem?
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We can use that to help us rule out some of the possible sources of the problem.
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But how do we set up a matrix?
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You really should set up your test matrix ahead of time before you collect data.
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In my experiment, it's pretty simple since I only have two factors of interest, the display
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type and the age of the pilots, and I have two levels for each of these factors.
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For the display type, I have a new display and an old display, and for the age of the
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pilots, I have younger and older pilots.
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Your matrix helps you organize your data so you can look at it, analyze it, and understand
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what's important about your problem.
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We can look at the data and get an idea about the source.
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Thanks a lot for all your help.
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Now we might be able to actually make some sense of all this.
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Thanks for stopping by.
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Good luck!
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- Idioma/s:
- Niveles educativos:
- ▼ Mostrar / ocultar niveles
- Nivel Intermedio
- Autor/es:
- NASA LaRC Office of Education
- Subido por:
- EducaMadrid
- Licencia:
- Reconocimiento - No comercial - Sin obra derivada
- Visualizaciones:
- 696
- Fecha:
- 28 de mayo de 2007 - 15:32
- Visibilidad:
- Público
- Enlace Relacionado:
- NASAs center for distance learning
- Duración:
- 02′ 05″
- Relación de aspecto:
- 4:3 Hasta 2009 fue el estándar utilizado en la televisión PAL; muchas pantallas de ordenador y televisores usan este estándar, erróneamente llamado cuadrado, cuando en la realidad es rectangular o wide.
- Resolución:
- 480x360 píxeles
- Tamaño:
- 12.73 MBytes
