# Linear Momentum (predict inelastic collision)

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You have 2 gliders, a big (subscript b) one with mass mb = 320 grams, and a small (subscript s) one with mass ms = 70 grams. Both gliders are free to move on a horizontal air track on which friction is negligible. Assume that the collisions below are perfectly inelastic because the gliders stick together when they collide. Use conservation of momentum of the system (small glider + big glider) to determine the answers you must enter (with proper SI units).

1. The big glider with an incident velocity of 2.6 m/s collides with the small glider that is initially at rest. The final velocity of the two gliders stuck together is Vf1 = ?

2. The small glider with the same incident velocity of 2.6 m/s collides the big glider that is initially at rest. The final velocity of the two gliders stuck together is Vf2 = ?

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##### Solution Summary

The expert predicts inelastic collision for linear momentum. Incident velocity collides velocity are given.

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1. The big glider with an incident velocity of 2.6 m/s collides with the small glider that is initially at rest. The final velocity of the two gliders stuck together is Vf1 ...

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- BSc , Wuhan Univ. China
- MA, Shandong Univ.

###### Recent Feedback

- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
- "Thank you"
- "Thank you very much for your valuable time and assistance!"

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