G by free fall experimental error

In summary, "G by free fall experimental error" refers to the uncertainty in measuring the acceleration due to gravity using a free fall experiment. It is measured by calculating the average value from multiple trials and can be affected by factors such as air resistance, human error, and imprecise tools. To reduce this error, scientists can minimize external factors and repeat the experiment. Considering this error is important for ensuring the accuracy and validity of experimental results.
  • #1
Darth Frodo
212
1
This isn't so much a H/W question, but we have 2 sets of values,

TMax and Tmin.

Δ is the difference between them.

We are told to get Δ/2 and get the %uncertainty of this.

Why do we halve Δ?
 
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  • #2
If you choose a value right in the middle of your max and min values, then you can say that the max value differs by Δ/2, and the min also differs by Δ/2. So Δ/2 could be considered sort of a maximum error value.
 

1. What is "G by free fall experimental error"?

"G by free fall experimental error" refers to the error or uncertainty in the measurement of the acceleration due to gravity (represented by the letter "G") using a free fall experiment. This error can occur due to a variety of factors, such as limitations in the experimental setup or human error.

2. How is "G by free fall experimental error" measured?

The "G by free fall experimental error" is typically measured by conducting multiple trials of the free fall experiment and calculating the average value of the acceleration due to gravity. The difference between this average value and the accepted value of 9.8 m/s^2 is the experimental error.

3. What factors can contribute to "G by free fall experimental error"?

There are several factors that can contribute to "G by free fall experimental error", such as air resistance, variations in the release mechanism or timing, and imprecise measurement tools. Additionally, human error in recording data or performing calculations can also impact the accuracy of the results.

4. How can "G by free fall experimental error" be reduced?

To reduce "G by free fall experimental error", scientists can take steps to minimize external factors that may affect the experiment, such as conducting the experiment in a vacuum or using more precise measurement tools. Additionally, repeating the experiment multiple times and taking the average value can also help to reduce the overall error.

5. Why is it important to consider "G by free fall experimental error"?

It is important to consider "G by free fall experimental error" because it affects the accuracy and reliability of the results obtained from the experiment. By understanding and accounting for this error, scientists can ensure that their data and conclusions are as precise and valid as possible.

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