You are looking at the CGA and want to assess whether or not there are different success rates with students from different schools. You wanted to take a random sample of 5 students from each of 3 schools; however one student was sick and doesnt show up.
School 1 | School 2 | School 3 |
45 | 51 | 41 |
48 | 64 | 46 |
54 | 76 | 53 |
65 | 78 | 63 |
84 | 72 |
School Mean | n | n*(x - xgrand)² | |
53 | 4 | 170.7378 | |
70.6 | 5 | 612.3556 | |
55 | 5 | 102.7556 | |
SSB | 882.8 |
School 1 | School 2 | School 3 | |||
45 | 51 | 41 | 64 | 384.16 | 196 |
48 | 64 | 46 | 25 | 43.56 | 81 |
54 | 76 | 53 | 1 | 29.16 | 4 |
65 | 78 | 63 | 144 | 54.76 | 64 |
84 | 72 | 179.56 | 289 | ||
Total | 234 | 691.2 | 634 |
SSW = 1559.2
SST = 882.8 + 1559.2 = 2442
Source | SS | df | MS | F | p-value | F crit |
Treatment | 882.80 | 2 | 441.400 | 3.11 | .0848 | 3.98 |
Error | 1,559.20 | 11 | 141.745 | |||
Total | 2,442.00 | 13 |
The hypothesis being tested is:
H0: µ1 = µ2 = µ3
Ha: Not all means are equal
The p-value is 0.0848.
Since the p-value (0.0848) is greater than the significance level (0.05), we fail to reject the null hypothesis.
Therefore, we cannot conclude that there is a different success rates with students from different schools.
Create an ANOVA problem Solve and explain the created ANOVA problem
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2. Create a main program that calls the subroutine created on problem 1 and compare results using the following data sets: b. 1 5), (0, 8), (3,-10) С. (-10,-2), (45), (73), (12, 20) t: (copy and paste the output in the following box) Use MATLAB or Scilab to solve the following problems 1. Create a MATLAB subroutine called Lagrange.m that receives two set data points, x and y and plots the curve by interpolating the missing points (hEX-Xi-1) using Lagrange...
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