With the below results, is there is an argument to be made that package design caused sales to increase? Please give an analysis based on data provided.

Descriptives sales 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum 5 14.60 2.302 1.030 11.74 17.46 11 17 5 13.40 3.647 1.631 8.87 17.93 10 19 4 19.50 2.646 1.323 15.29 23.71 17 23 5 27.20 3.962 1.772 22.28 32.12 22 33 Total 19 18.63 6.440 1.477 15.53 21.74 10 33Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig. sales Based on Mean .438 3 15 .729 Based on Median .242 3 15 .866 Based on Median and .242 11.789 866 with adjusted df Based on trimmed mean 421 3 15 .740\fRobust Tests of Equality of Means sales Statistic df1 df2 Sig. Welch 13.300 3 8.057 .002 Brown-Forsythe 19.098 3 13.275 .000 a. Asymptotically F distributed.Multiple Comparisons Dependent Variable: sales Tukey HSD Mean Difference (1- 95% Confidence Interval ()) design (J) design J) Std. Error Sig. Lower Bound Upper Bound 1.200 2.054 935 -4.72 7.12 3 -4.900 2.179 155 -11.18 1.38 4 -12.600 2.054 000 -18.52 -6.68 2 -1.200 2.054 935 -7.12 4.72 -6.100 2.179 058 -12.38 .18 -13.800 2.054 000 -19.72 -7.88 3 4.900 2.179 155 -1.38 11.18 6.100 2.179 058 -.18 12.38 -7.700 2.179 014 -13.98 -1.42 4 12.600 2.054 000 6.68 18.52 13.800 2.054 000 7.88 19.72 3 7.700 2.179 014 1.42 13.98 *. The mean difference is significant at the 0.05 level.sales Tukey HSDab Subset for alpha = 0.05 design N 1 2 2 5 13.40 5 14.60 3 4 19.50 4 5 27.20 Sig. .050 1.000 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 4.706. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.25 20 Mean of sales 15 2 4 design