Eksport-Import

Graphic Analysis

Dari graphic tersebut dapat dilihat bahwa pergerakan ekspor dan impor dari runtun waktu tertentu tidak memiliki variance yang konstan.
Data Statistik

| IMPOR | EKSPOR | Mean | 7044.213 | 9061.821 | Median | 5144.797 | 8159.091 | Maximum | 17207.93 | 18647.83 | Minimum | 2078.986 | 3894.702 | Std. Dev. | 4648.063 | 4175.774 | Skewness | 0.791197 | 0.699083 | Kurtosis | 2.271311 | 2.271643 | | | | Jarque-Bera | 19.72724 | 16.15493 | Probability | 0.000052 | 0.000310 | | | | Sum | 1098897. | 1413644. | Sum Sq. Dev. | 3.35E+09 | 2.70E+09 | | | | Observations | 156 | 156 |

Covariance Analysis

| IMPOR | EKSPOR | IMPOR | 21465995 | 18803327 | EKSPOR | 18803327 | 17325311 |

Test for Equality of Means

Test for Equality of Means Between Series | | Date: 04/09/13 Time: 08:53 | | | Sample: 1 156 | | | | Included observations: 156 | | | | | | | | | | | | | Method | df | Value | Probability | | | | | | | | | | | t-test | 310 | -4.033067 | 0.0001 | Satterthwaite-Welch t-test* | 306.5077 | -4.033067 | 0.0001 | Anova F-test | (1, 310) | 16.26563 | 0.0001 | Welch F-test* | (1, 306.508) | 16.26563 | 0.0001 | | | | | | | | | | | *Test allows for unequal cell variances | | | | | | | Analysis of Variance | | | | | | | | | | | | | Source of Variation | df | Sum of Sq. | Mean Sq. | | | | | | | | | | | Between | 1 | 3.18E+08 | 3.18E+08 | Within | 310 | 6.05E+09 | 19520786 | | | | | | | | | | | Total | 311 | 6.37E+09 | 20478976 | | | | | | | | | | | | | | | | Category Statistics | | | | | | | | | | | | | | | | | Std. Err. | Variable | Count | Mean | Std. Dev. | of Mean | IMPOR | 156 | 7044.213 | 4648.063 | 372.1428 | EKSPOR | 156 | 9061.821 | 4175.774 | 334.3295 | All | 312 |