
Page 145: Interpreting Results
Presentation
•
Science
•
7th Grade
•
Practice Problem
•
Medium
+4
Standards-aligned
Jack Loud
Used 5+ times
FREE Resource
5 Slides • 3 Questions
1
NOTES: Interpreting Results
Error bars help us to evaluate the precision of a data set and
determine whether the data is conclusive and reliable.
2
▫Shorter error bars = more precise data
▫Longer error bars = less precise data
▫If the error bars do notoverlap, the data
sets can be considered conclusively
different.
▫If the error bars overlap, there was not a
significant difference between the data
points, and therefore the different data
sets cannot be considered conclusively
different.
Averages
Error Bars
NOTES: Error Bars
3
Multiple Choice
Is the data on the previous slide conclusively different?
Yes, the error bars don't overlap
Yes, the error bars overlap.
No, the error bars don't overlap.
No, the error bars overlap
4
To construct errors bars we use two measurements…
1.
Average of the data set
2.
Standard deviation
NOTES: Error Bars
5
●
Standard deviation gives a sense of how spread out the data is for
a give data set
●
It helps us see how varied the data is from the average
68% of data points within a data set fall within the standard deviation.
We will use a computer to calculate the standard deviation
NOTES: Standard Deviation
6
Multiple Choice
How do you calculate the average of a dataset?
Add all the numbers up and divide by the amount of numbers there are
Add all the numbers up and multiply by the amount of numbers there are
Subtract the largest number from the smallest number
Arrange the numbers from least to greatest and choose the number in the middle
7
To calculate the TOP of an error bar…
AVERAGE + STANDARD DEVIATION
To calculate the BOTTOM of an error bar…
AVERAGE – STANDARD DEVIATION
Averages
Error Bars
NOTES: Error Bars
Sample 1
●AVG = 9.00
●SD = 3
Sample 2
●AVG = 11.00
●SD = 4
8
Open Ended
Do you think the data from our rocket lab will be conclusively different? Justify your answer.
NOTES: Interpreting Results
Error bars help us to evaluate the precision of a data set and
determine whether the data is conclusive and reliable.
Show answer
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