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Stress Type and Data Analysis - Contenido educativo

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Subido el 28 de mayo de 2007 por EducaMadrid

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First segment of Good Stress explains the three types of stress: physical, mental and emotional. The first segment next asks students a series of inquiry based question about data. The first segment continues with an explanation of how data is collected, organized, analyzed and why data analysis is important. The Good Stress segment explains what scatter plots are and how graphing these plots show different trends. The first segment contains an activity that asks students to determine the trend in a scatter plot.

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Hi, I'm Jennifer Pulley, and welcome to NASA Connect, the show that connects you to math, 00:00:00
science, technology, and NASA. 00:00:12
I don't know how you deal with stress after a long day at school, but for me, after work, 00:00:15
I hit the gym. 00:00:22
You know, stress can be caused by many things, such as being overworked, mentally tired, 00:00:23
or just overwhelmed by our daily lives. 00:00:29
In fact, how many of you get stressed out over an important test? 00:00:32
I get stressed when I don't have enough time in the day to complete all my work. 00:00:38
Does that mean that stress is a bad thing? 00:00:42
While too much stress can be damaging to the body, too little of some kinds of stress can 00:00:45
also be harmful. 00:00:50
Let's look at three types of stress. 00:00:51
The first is called physical stress. 00:00:54
Activities like walking and carrying textbooks are physical stresses. 00:00:58
The second stress, called mental stress, involves activities like doing math problems or taking 00:01:03
quizzes. 00:01:09
The third type of stress is called emotional stress. 00:01:10
It can be either good or bad, like winning science student of the year or receiving a 00:01:13
bad grade on a test. 00:01:19
Our bodies, including muscles and bones, require some physical and mental stress, or 00:01:21
good stress, to be healthy and grow. 00:01:27
In today's program, we will focus on good stress and how to build better muscles and 00:01:29
bones. 00:01:35
We will also learn how NASA researchers collect and analyze data to better understand how 00:01:36
our muscles and bones are constantly changing, especially in a microgravity environment. 00:01:42
That's RJ. 00:01:49
He's a friend of mine who's an up-and-coming cross-country star. 00:01:50
He had an injury a few months ago, but I think his injury and today's program have a lot 00:01:53
in common. 00:01:58
RJ, what's up? 00:01:59
Hey, Jen. 00:02:00
I tore a muscle in my leg and I've been immobilized for a few months. 00:02:01
I'm trying to get my leg strength back to where it was before the injury. 00:02:04
Well, you know, it looks like you were doing some rehabilitation. 00:02:07
How's that going? 00:02:09
I'm really struggling. 00:02:10
In fact, I've been struggling for the past two weeks. 00:02:11
I'm keeping a log of my workouts. 00:02:14
I can't figure out if my rehab's on target. 00:02:16
You mean you're having trouble analyzing your data? 00:02:19
I think so. 00:02:21
Well, I think I can help you and your leg out. 00:02:22
You know, data analysis is the math focus today. 00:02:25
So you mean my leg is going to be the focus of this program? 00:02:29
I guess you could look at it that way, RJ. 00:02:33
To better understand your leg injury, yes, you do need to understand data analysis. 00:02:35
Now, before we help RJ out, there are a few things that you need to know. 00:02:39
During the course of this program, you will be asked to answer several inquiry-based questions. 00:02:44
After the questions appear on the screen, your teacher will pause the program 00:02:49
to allow you time to answer and discuss the questions. 00:02:53
This is your time to explore and become critical thinkers. 00:02:57
Students working in groups take a few minutes to answer the following questions. 00:03:01
Number one, what is data? 00:03:07
List some examples of data. 00:03:10
Number two, where do data come from? 00:03:13
Number three, why do data need to be interpreted? 00:03:17
Compare your answers to all three questions with other groups in your class. 00:03:22
It is now time to pause the program. 00:03:27
So, did you come up with some good answers? 00:03:29
Good job. 00:03:32
Data are the facts, figures, and other evidence gathered through observations. 00:03:34
You might collect data on the number of boys and girls in your math class, 00:03:40
the types of animals in a local zoo, or the average monthly temperatures where you live. 00:03:44
Besides collecting your own data, you might be able to find data already collected 00:03:50
in journals, newspapers, almanacs, or even the Internet. 00:03:55
Once you collect the data you need, then you must interpret or analyze that data. 00:04:00
At NASA, researchers are constantly on the lookout for patterns 00:04:06
that can help them understand how things work. 00:04:10
By analyzing data, they can describe relationships between and among 00:04:13
numbers and the scientific principles they are investigating. 00:04:18
Before you analyze the data, it's very helpful to arrange the results 00:04:22
in an organized way, such as a chart. 00:04:26
Graphing your results will help you visualize your findings. 00:04:29
By organizing and visualizing the data, you can look for patterns and trends. 00:04:33
For example, let's take a look at RJ's data. 00:04:39
RJ, what do you have for us? 00:04:42
Well, the display shows the amount of weight my right leg can lift 00:04:43
by doing a set of 10 repetitions on a leg extension machine. 00:04:46
The data was taken over a four-month period. 00:04:49
So, it looks like your data are organized by time and weight, you know? 00:04:52
A scatter plot would be an awesome graph to use to help you analyze this data. 00:04:57
A scatter plot? 00:05:02
Yes, a scatter plot is a graph that shows the relationship 00:05:03
between two variables, like time and weight. 00:05:06
Scatter plots let you visually determine whether the trend in your data 00:05:09
is positive, negative, or none at all. 00:05:14
In your case, the two variables are time and weight. 00:05:19
To make a scatter plot, we plot these two variables as ordered pairs. 00:05:24
Here's what the scatter plot looks like. 00:05:30
The x-axis is the time, and the y-axis is the amount of weight. 00:05:33
And don't forget, you always need a title for your plot. 00:05:40
Can you determine a trend or relationship in the scatter plot? 00:05:44
In other words, does the data show a positive trend, negative trend, 00:05:49
or no trend at all? 00:05:55
This would be a great time to pause the program 00:05:57
and discuss the relationship with your fellow students and teachers. 00:06:00
It's now time to pause the program. 00:06:04
Well, RJ, what can you determine from the plot? 00:06:06
I noticed that my leg strength increased between March and May. 00:06:09
But over the last month, my leg strength has remained constant. 00:06:12
You know, RJ, you're right. 00:06:16
You did have a positive trend for a couple of months. 00:06:17
But I wonder why you leveled off. 00:06:20
You know, I know someone at NASA who is the lead astronaut 00:06:22
strength, conditioning, and rehabilitation specialist. 00:06:25
Her name is Beth Shepard, 00:06:28
and I bet she could help you out with your rehab program. 00:06:29
Here's her contact information. 00:06:31
Give her a buzz. 00:06:33
Thanks, Jennifer, for all your help, 00:06:34
especially learning how to analyze data. 00:06:36
I'll talk to you later. 00:06:38
Let's see what he can learn from Beth Shepard 00:06:39
about muscles, bones, and rehabilitation. 00:06:41
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Idioma/s:
en
Materias:
Matemáticas
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:
704
Fecha:
28 de mayo de 2007 - 16:54
Visibilidad:
Público
Enlace Relacionado:
NASAs center for distance learning
Duración:
06′ 45″
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:
40.60 MBytes

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