Research Article
[Retracted] Research on the Development of Localized Music Curriculum System Based on the Theory of Multiple Intelligences
Table 1
Significant differences in music curriculum tests.
| Music curriculum test codes | Significant difference description text |
| While the two-node support set estimation | Import matplotlib.pyplot as plt | | Assume that the standard | There was no difference between | Fft_amp1 = fft_amp0[0:n_2] | The level of | X = np.random.rand(n) 1 | The mean value of | Examination music test of | The pretest and posttest | Voting principle is a majority decision | Pretest (t = 2.03, < 0.05) | When the sampling | Freq0 = sample_freqlist0/n | List1 = np.array(range(0, int(n/2))) | The sampling rate is less than 0.5 | The support set is updated during each iteration | C = colors, alpha = 0.5 | Plt.scatter(x, y, s = area, marker = “o”) |
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