Two Music Reviews of Sorry For Party Rocking by LMFAO Essay

Two Music Reviews of Sorry For Party Rocking by LMFAO - Essay Example This small assessment essay describes the critical comparison of two music reviews, that were written by two popular music review sites, www.allmusic.com and www.rollingstone.com on the album ‘Sorry For Party Rocking‘ by LMFAO. When you critically evaluate or compare both the reviews on the same album, you can easily come out with a conclusion each reviewer took different kinds of aesthetics to judge the album. The review written by John Bush on www.allmusic.com considers the amount of humor and energy that keep listeners stick to the album. This is what we call Aesthetic Contemplation. Listeners don’t need to understand the track to enjoy the song. This is the reason why John Bush rated the album as Good. The review written by Caryn Ganz on www.rollingstone.com looks into rhythms, synths and beats. Caryn just focused on trying to understand the meaning of the song by analyzing the rhythms, beats and synths. This is what theoretical contemplation is. The researcher then compares two reviews and concluds that both the reviews are assessed by using Seel’s three dimensional aesthetic experience of popular music. As per aesthetic contemplation, you immerse yourself into the music by forgetting everything for a short while. Aesthetic Correspondence lets you to shape our surroundings and Aesthetic Imagination helps you stimulate the imagination to get into the emotional characterization and we can easily come to a conclusion John Bush focused more on aesthetic criteria and Caryn reviewed based on rhythms and beats.

Variability of a price of commodity (oil, coffee, gold, etc) Essay

Variability of a price of commodity (oil, coffee, gold, etc) - Essay Example On the contrary, when the advertising level goes down, the sales also go down as a result. Additionally, the level of competitors’ advertising has a negative effect on sales of an organization (Trehan, & Trehan, 35). The model has a coefficient of determination, R2 = 0.761468 and ANOVA sig-F = 9.57E-14. The t-test p-values, p=5.5E-13, p=2.64E-08, p=1.4E-11 and p=0.023479 for intercept, Newspaper, TV and Competitors advertising respectively. Looking at the four models above, model 4 has the highest coefficient of determination, R2 = 0.761468, followed by model 2, R2 = 0.360276, model 3, R2 = 0.222313 and model 1, R2 = 0.203654. R2 explains the proportion of the dependent variable which is explained by the independent variable(s). Therefore, in model 4, 76.1468% of sales is explained by Newspaper, TV and Competitor’s Advertising (Wang, & Jain, 13). In conclusion, all the models depict some significance in explaining the sales. This implies that all the independent variables in the data are reliable when it comes to estimation of the dependent variable. However, variation in reliability of the models is differentiated by the coefficient of determination despite the fact that the t-test p-values in all models showed significance (p