Inferential Statistics Project Example | Topics and Well Written Essays - 1500 words

Inferential - Statistics Project Example The data sets are divided into two sets; Android, Windows and Others representing the operating systems in the market and a dependent variable Smartphone on the category indicating the total cell phone sold with the operating system. The independent variables are the App is representing the App store, GUI represents the Graphical User Interface of the smartphone and the Functionality representing the functions carried out by the operating systems and the apps. The data is bivariate data as two variables are measured in a single study (William Mendenhall III, 2013). We calculated the operating system market share and the customer buying behavior towards the software capabilities of the smartphone. Most consumers prefer smartphones running on Android platform; on average 10 Android phones are sold daily. The consumer‘s are influenced by the app store on the phone, with 9 people every day says that the app store matters to them most. The positive coefficient indicates the directional effects of the independent variables and the effect they will have on the depend variable smartphone. Thus, with an increase in App, GUI or Functionality results to increase in sales of smartphones. Meaning that the consumer behavior depends on the software installed or can be installed on the gizmo. Goodness to fit ≠¥ 0.80 or 80% and we reject Reject H0 if p-value ≠¤ ÃŽ ±, where ÃŽ ± is the level of significance for the test (David R. Anderson, 2011). Thus p-value ≠¥ 0.0000, thus the null hypothesis is accepted. At 95% confidence level (1.869, 5.088), this are plausible values of parameter where mean may lie; thus, we expect more consumers to be influenced by App store parameter in smartphone. Thus we expect the sales of Android phones to increase with the same parameter as they are the market

Discussion Essay Example | Topics and Well Written Essays - 250 words - 114

Discussion - Essay Example One example is of CCI’s initiative in scholarship program in Tennessee (Bowman and Kearney, 322). So the two theoriesdo not explain the politics in Tennessee. Ans: Taking is a government action when it assumes ownership of someone’s property on the domain of public purpose. Here the definition of public purpose is important. If the government is taking away the land for building up social goods like labor intensive industries, utility places like libraries, schools, colleges etc., then I think taking is reasonable as this activities lead to employment generation and creates welfare (Bowman and Kearney, 307). Ans: Dillon’s law states that local governments exercise only those powers which are granted by state government. State government has more power than local government but the trend has been shifting towards increased state support and empowerment of localities. Localities have powers to restructure themselves, impose new taxes etc, State government dominates decision making for localities by regulating their finance, by setting qualification criteria for local employees, by meetings and mandating financial disclosure etc (Bowman and Kearney, 325-326). Ans: Yes sprawl should be regulated because it leads to rapid land consumption and heavy dependence on development. It is resource intensive and costly. Cost of providing services like public education rises manifold times for the government. To check sprawl impact fee can be levied on new development like houses and the city should have proper authority to levy the fee. This will offset some costs for providing public service. Greenbelts should be established as it will limit the area for development (Bowman and Kearney, 333). Ans: Yes I would support city county consolidation as it will help in tackling stubborn policy program like pollution control in two cities which now becomes a collective problem after consolidation. Again economies of scale will