#1) If the angle increases then the acceleration... i) Given that you also know u (coefficient of friction) can you find the formula that gives the acceleration? ii) ii)Describe how much is the acceleration for 0=90°?

College Physics
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ISBN:9781305952300
Author:Raymond A. Serway, Chris Vuille
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Chapter1: Units, Trigonometry. And Vectors
Section: Chapter Questions
Problem 1CQ: Estimate the order of magnitude of the length, in meters, of each of the following; (a) a mouse, (b)...
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Please do these two questions as they are connected with each other. 

#1) If the angle increases then the acceleration...
i)
Given that you also know µ (coefficient of friction) can you find the
formula that gives the acceleration?
ii)
ii)Describe how much is the acceleration for 0=90°?
#3) If the angle increases then the friction...
Given that you also know u (coefficient of friction) can you find the
formula that gives the friction?
ii)
i)
ii) Describe how much is the friction for 0=90°?
Transcribed Image Text:#1) If the angle increases then the acceleration... i) Given that you also know µ (coefficient of friction) can you find the formula that gives the acceleration? ii) ii)Describe how much is the acceleration for 0=90°? #3) If the angle increases then the friction... Given that you also know u (coefficient of friction) can you find the formula that gives the friction? ii) i) ii) Describe how much is the friction for 0=90°?
Graph 1
써=208%
FN
Wx
-A =37.4
-33,7
2.6
2.4 -
Linear Fit
m ( Slope)
b(Y Intercept)
Linear Fit
m( Slope )
b(Y Intercept)
3.08 + 0.013
0.670 + 0.0036
1.00
00
0.00686
2.74 + 0.024
1.11 t 0.0035
I Run #1
* Run #3
Run #4
* Run #5
* Run #8
2.2
1.00
00
Mean Squared Error
Root MSE
Mean Squared Error
Root MSE
2.0
0.00265
1.8
Linear Fit
m ( Slope)
b(Y Intercept)
1.6
0.541 ± 0.0059
0.309 + 0,0028
1.00
00
0.00144
Mean Squared Error
Root MSE
1.4
1.2
Linear Fit
m ( Slope )
b(Y Intercept )
0.219 + 0.0052
0.215 + 0.0042
0,997
000
0.00493
1.0
Linear Fit
m( Slope )
b(Y Intercept)
Mean Squared Error
Root MSE
1.76 + 0.015
0.751 + 0.0026
1.00
000
0.00251
0.8
Mean Squared Error
Root MSE
0.6
10=/2607
-0.2
-0.4
-0.6
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
Time( s)
Transcribed Image Text:Graph 1 써=208% FN Wx -A =37.4 -33,7 2.6 2.4 - Linear Fit m ( Slope) b(Y Intercept) Linear Fit m( Slope ) b(Y Intercept) 3.08 + 0.013 0.670 + 0.0036 1.00 00 0.00686 2.74 + 0.024 1.11 t 0.0035 I Run #1 * Run #3 Run #4 * Run #5 * Run #8 2.2 1.00 00 Mean Squared Error Root MSE Mean Squared Error Root MSE 2.0 0.00265 1.8 Linear Fit m ( Slope) b(Y Intercept) 1.6 0.541 ± 0.0059 0.309 + 0,0028 1.00 00 0.00144 Mean Squared Error Root MSE 1.4 1.2 Linear Fit m ( Slope ) b(Y Intercept ) 0.219 + 0.0052 0.215 + 0.0042 0,997 000 0.00493 1.0 Linear Fit m( Slope ) b(Y Intercept) Mean Squared Error Root MSE 1.76 + 0.015 0.751 + 0.0026 1.00 000 0.00251 0.8 Mean Squared Error Root MSE 0.6 10=/2607 -0.2 -0.4 -0.6 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 Time( s)
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