Normal distribution

Statistical Analysis: Data was analyzed using IBM SPSS advanced statistics version 21 (SPSS Inc., Chicago, IL).For quantitative data, comparison between two dependent groups was done using student paired t-test.Chi square test (X2) was applied for the qualitative data to obtain the frequencies of the morphological variations on both sides. Pearson correlation was done to correlate between the following parameters: • Acromion length and acromion width. • Acromion length and acromio-glenoid distance

used for all sequences was 512 x 256 except the DWI which was 128 x 64. Quantitative analysis was obtained by mathematically calculating the apparent diffusion coefficient (ADC). ADC maps are automatically generated by the workstation based on the three b values according to the formula ADC = ln (S0/S1)/(b1-b0), where S0 and S1 are the signal intensity before and after application of diffusion gradients, and b1 and b0 are the different b values applied. The ADC is a numerical value calculated

The total population of this study was 140 and according to Slovene’s formula, the sample size of this study was 103.In Slovene’s formula, n= N/1+N*(e) where: n= number of samples, N=total population and e = margin of error, 5%=0.05 and Population is 140 Where N=Total population=140 n=Number of samples

mixed linear model (Zhang et al. 2010) implemented in the GAPIT package (Lipka et al. 2012) in R. determines the trade-off between misclassifying training examples and minimizing the norm of the weights. Parameter controls the band of the insensitive zone that in turn affects the number of support vectors in building the regression function. Bigger means lesser support vectors and produces more ‘flat’ estimates. III. A LGORITHM D ESCRIPTION Decision Tree (DT) is used to build regression or classification

1.1 Marking Process For a thoroughly refined fingerprint image, there are only three kinds of ridge points: (1) Cn (P) = 1, Sn (P) = 1, called end point; (2) Cn (P) = 2, Sn (P) = 2,3,4, called continuous point; (3) Cn (P) = 3, Sn (P) = 3, called fork. (P, P1, P2, ⋯, Pn), where n is the number of extracted feature points, Pi = (Xi, Yi, Ti, Ai), Xi, Yi denotes the feature point Ti represents the type of the feature point, when the feature point is the end point Ti = 1, when the feature point is the

Estimation of Duckweed Geometric Population Density Phosphate Depletion By Ana Rosina Alarcon University of Texas at El Paso Department of Environmental Science Instructor: Gebregiorgis Alay G. Introduction Duckweed is a small aquatic plant that is able to grow rapidly, making it the ideal specimen for our experiment. It is hypothesized that altering the amount of light received by duckweed will alter its photosynthetic rate. It is predicted that a lower light intensity will

How to Lie with Statistics Book Summary The book How to Lie with Statistics written by Darrell Huff shows you how statistics are used to mislead; sometimes unintentionally, other times on purpose. It gives the readers the knowledge necessary to intelligently question and understand the story behind the numbers. In other words, it shows the tricks the crooks use, so that honest men can use this knowledge for self defense. I think it’s particularly useful for a manager or an executive to read

Spearman correlation coefficient was used to examine the correlation between both scales and the limb symmetric index and was interpreted as r > 0.5 which indicated a strong association. The Kolmogorov-Smirnov test was then used to examine the distribution

1. Gladwell believes in the American Dream. He believes that, by total willpower and hard work, anyone can be successful. I believe that the American Dream is very much an illusion. It is based on the idea that having wealth gives easy success. But most of the population is not lucky enough to have this wealth. 2. Gladwell’s central premise in outliers is that the people who have intellectual and environmental values are true outliers. Gladwell talks about gradual gain or opportunity a person could

1) In the first experiment, “ How does mass affect your game?” it shows that the data on “Ball- Mass 3” that the 10 pound bowling ball had the highest kinetic energy of 27(J), the greatest velocity (m/s) of 3.42, and in average it produced 4 bowling points. According to the data, on “ Ball- Mass 1” the 11 pound ball got an average velocity (m/s) of 3.14, the kinetic energy of 24 (J), and the average bowling points of 3. On the other hand, the evidence shows that the 12 pound bowling ball in “ Ball-