analysis. a data analysis is where you discuss and interpret the data collected from your project....

10
Analysis

Upload: kristopher-barrett

Post on 05-Jan-2016

221 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Analysis

Page 2: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Analysis• A data analysis is where you discuss and interpret the

data collected from your project.• An analysis explains the results and is a summary of

what you discovered during your observations, from your data table(s) and graph(s).

• Begin by explaining what happened in the experiment. Outline the process you used and the data that you collected. After you have described what happened in each experiment, you can begin discussing what can be learned from the data.

• An analysis includes only facts, no opinions!

Page 3: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Analysis

Your analysis on your display board must include:• Data table(s)• Graph(s)• Written paragraphs

Page 4: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Written Analysis Format

• 1 to 2 sentences with an overview of what you did in the experiment.

• 3 to 4 sentences that share the data that you collected.

• 2 to 3 sentences explaining what the data that you collected means.

Page 5: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Question: How do the different types of activity affect a person’s heart rate?

The Effect of the Type of Activity on Heart Rate

130 136 125

80 92 87

74 72 70

110 105 100

130.3

105

86.3

72

Page 6: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Graphhttp://nces.ed.gov/nceskids/createagraph/

Page 7: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

1 to 2 sentences with an overview of what you did in the experiment.

In our experiment, we chose one volunteer to try all four activities: running, weight lifting, walking, and yoga. After doing each activity for the same amount of time, we measured their heart rate three times for a total of three trials.

Page 8: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

3 to 4 sentences that share the data that you collected.

For running, the volunteer had an average heart rate of 130.3 beats per minute. For weight lifting, the volunteer had an average heart rate of 105 beats per minute. For walking, the volunteer had an average heart rate of 86.3 beats per minute. For yoga, the volunteer had an average heart rate of 72 beats per minute.

Page 9: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

2 to 3 sentences explaining what the data that you collected means.The data we collected shows that a person’s heart rate is highest when he is running, but a person’s heart rate is lowest when he is doing yoga. The order of activities and the heart rate they produce from highest to lowest is running, weight lifting, walking, and yoga.

Page 10: Analysis. A data analysis is where you discuss and interpret the data collected from your project. An analysis explains the results and is a summary of

Analysis (complete)In our experiment, we chose one volunteer to try all four

activities: running, weight lifting, walking, and yoga. After doing each activity for the same amount of time, we measured their heart rate three times for a total of three trials.

For running, the volunteer had an average heart rate of 130.3 beats per minute. For weight lifting, the volunteer had an average heart rate of 105 beats per minute. For walking, the volunteer had an average heart rate of 86.3 beats per minute. For yoga, the volunteer had an average heart rate of 72 beats per minute.

The data we collected shows that a person’s heart rate is highest when he is running, but a person’s heart rate is lowest when he is doing yoga. The order of activities and the heart rate they produce from highest to lowest is running, weight lifting, walking, and yoga.