Lab_Assignment13_question

course Phy 241

Lab 13 reads:

Previously you reported an acceleration result for a specific ramp in the format mean +- uncertainty, based on velocity results that were also in this form.

In the first line of the box below report your uncertainty in velocity and uncertainty you the obtained for acceleration. Give two numbers in this order, in comma-delimited format. These two numbers will have been reported in your previous responses.""

I have a specific acceleration and standard deviation for the original positions and reverse positions for both the 2 dominoes and 4 dominoes, but I do not know where to get the velocities. Do I need to find the average velocities of each setup by dividing vf by 2?

Your previous report actually indicated the predicted value of the quantity and the lower and upper limits. You gave both velocity and acceleration results as follows:

Predicted velocity based on interval estimates, lower and upper velocity limits for 2-domino stack.

32.57, 30.51, 23.39

Predicted velocity, lower and upper velocity limits for 3-domino stack.

56.32, 26.32, 19.93

predicted velocity should be between lower and upper limits of possible velocities

Predicted velocity, lower and upper velocity limits for 4-domino stack.

69.32, 14.52, 8.587

Predicted acceleration, lower and upper acceleration limits for 2-domino stack.

17.4, 15.4, 19.5

To obtain the predicted acceleration I used the equation vf^2=v0^2+a'ds to solve for a, `ds of the ramp was found to be 30.48 cm, v0 is zero and vf is the velocity found from the dataprogram calculation. The range of accelerations were found by using the distances on the ends of each interval. These numbers were found by adding or subtracting the standard deviation from the mean. The distance were put in the program to obtain correspondent velocities.

Predicted acceleration, lower and upper acceleration limits for 3-domino stack.

52.0, 49.6, 54.4

Predicted acceleration, lower and upper acceleration limits for 4-domino stack.

78.6, 74.1, 82.0.