For the purpose of this analysis, I choose to use the World Bank 2007 data to come up with a detailed conclusion. I used 32 different countries scattered throughout the world in my analysis, to provide an unbiased result. Three relevant variables were chosen to be analyzed and discussed later on in this section. These variables as mentioned earlier include foreign direct investments, agriculture and industry.
The graph provided below is a summary statistic of the three variables in thirty two countries that were randomly chosen. In the table provided, you will see the average, median, standard deviation, maximum, and minimum of the given set of data. All information provided below was taken from World Bank 2007 database and calculations were calculated using the SPSS software:
Agriculture, value added (annual % growth)
Foreign direct investment, net inflows (% of GDP)
Industry, value added (annual % growth)
Valid N (listwise)
Standardized coefficients related to structural equation modeling (Path Analysis)
The standardized coefficients are used to compare the effects of each component of the model. The absolute value of the coefficient is larger, which means that the impact of the independent variable is greater on the dependent variable.
The direct effects of Amos path analysis of statistic t, used to assess the significance of the coefficients in the model. Since the default of significance level, is 0.05, so…
These data will be used to make predictions about the likelihood of teacher retention or to predict whether teachers are likely to leave teaching or migrate to a new school. Descriptive statistics will be used to uncover the presence of each working condition in each of the four types of schools under study.
Inferential statistics will be applied to relate each working condition to teacher retention in each of the four types of school. The potential for bias exists because the survey results…
Factor analysis of dimension deductions function should be used to explore main factors from all of initial information sources components. KMO (Kaiser-Meyer-Olkin) model is a test for sampling adequacy and Bartlett’s test. The value of KMO varies between 0 and 1. I think that KMO statistic should be greater than 0.5 as an accepting value. Furthermore, the value between 0.5 and 0.7 are represented as general fitting, the value indicates more than 0.7 but less than 0.9, it is great and the value…
In the 1940s, Raymond Cattell was able to take Allport’s 4000 traits and boil it down through factor analysis. Factor analysis refers to the mathematical consolidation of commonly appearing variables and the summarising of correlating data. He used factor analysis to eliminate synonyms and the very rare or unused traits (Friedman & Schustack, 2014). Cattell was able to reduce the list of traits from over 4000 to 16 personality variables. This reduction in personality variables was attributed to…
Map scale is the ratio of the straight line distance between any two points on a map to the straight line distance between the same two points on the earth’s surface. Now when looking at map scale there a few concepts for instance, ratio (representational fraction) scale is a concept of map scale. Ratio scale is always neutral in the scale measurement used on the map. So when looking at a map scale of 1:50 000 it means that 1 unit of measurement on the map is equal to 50 000 of the…
In this work, we assume two different potentials for the initial and final heavy quarkonia and the intermediary hybrid states. The most popular potential form for the study of heavy quarkonia is the Cornell potential 
V(r)= -κ/r + b r (2.13)
Usually many authors prefer α_s (r) instead of κ. The relation between them is κ=(4α_s (r))/3 and α_s (r) can treated as constant for bb ̅ and cc ̅…
x-axis value. Using the existing values for both data sets, the new value can then be calculated using linear regression. The correct syntax function to perform the calculations in Excel is FORECAST(x, known y-axis values, known x-axis values). In this case, x represents the independent variable data value for which the y-axis value is being predicted, while the other two elements represent the x-axis and y axis data arrays that are known.
Felli and Hazen (2015) explain that the resultant trend…
to which the selected indices one influenced by each other. We can also examine the short run dynamic relationship by variance decomposition. While impulse response functions trace the effects of a shock to one endogenous variable in the VAR, variance decomposition separates the variation in an endogenous variable in to the component shocks to the VAR. Thus, the variance decomposition provides information about the relative importance of each random innovation in effecting the variables in the…
The values for the Axial length and Keratometry obtained through the various methods as mentioned above should be consistent so as to rule out sources of error.
The need to repeat these measurements can be obtained based upon the HOLLADAY CRITERIA which states:
Repeat Km if:
Km47D for either eye
Difference between the two eyes >1 D
Corneal cylinder doesnot correlate well with the refractive cylinder
Repeat AL if:
Difference between the two eyes > 0.3 mm