INTRODUCTION
The course module; Network programming and simulation, entails modeling and simulation and also the analyses of input data. Simulation is the act of implementing, testing with a model or a set of models for a specific objective, which might be one of the followings; Problem solving, Research, Education. Modeling and Simulation is a discipline which consists of many branches such as; Discrete distributions, Continuous distributions, Monte Carlo modeling and simulation, Probability distributions. Modeling any system, for example, communications system requires the analysis of the input data, to analyze the input data we have to introduce the use of MATLAB.
MATLAB is defined as a high-level programming language and an environment for Mathematical calculation and conception. It can be used to analyze data and create models for a large scope of applications, which includes signal processing and communications, control engineering and computational finance.
Generally, the MATLAB application has been developed around the MATLAB language, most of the codes used in MATLAB are written in the MATLAB command window or the text editor which includes the use of functions, scripts, class or enumeration.
OBJECTIVE
With the aid of MATLAB implementations, the objective of this report is to determine through the use of statiscal analysis, the probability distributions of the numerical data contained in the two data files given.
MATLAB which has been proven to be an essential tool to use, in terms of getting approximate accurate output data for the input data which are going to be analyzed through it. The random variables which were used for this report are going to be analyzed
HISTORY OF MATLAB
The origin of MATLAB which was once know...
... middle of paper ...
... distribution was generated as shown below:
Fig. 27 Student’s t distribution using different degrees of freedom
The above figure shows the student t distribution on a curve and also shows the normal distribution with a mean of 0 and a variance of 1. T also shows how the degrees of freedom change the shapes of the curves as it moves higher and when it is at its maximum degree of freedom it takes the shape of a normal curve.
Where, z = normpdf(X,0,1); normal distribution curve
Y4 = tpdf(X,15); curve for 15 degrees of freedom.
Y3 = tpdf(X,3); curve for 3 degrees of freedom.
Y2 = tpdf(X,2); curve for 2 degrees of freedom.
Y1= tpdf(X,1); curve for 1 degree of freedom.
3. KOLMOGOROV- SMIRNOV TEST: The Kolmogorov-Smirnov test otherwise known as the k-test is used to verify a null hypothesis
For this experiment the null hypothesis is that the intensity of the step rate test (High and Low) has no effect on the persons’ heart rate and recovery time. While the alternate hypothesis is that the intensity of the step rate test (High and Low) has an effect on the persons’ heart rate and recovery time.
Accuracy: This paper demonstrates much accuracy, this is proven through the subtitles, statistics and in text citations for
What the students discovered from the histogram from this year was that firstly the score was noticeably higher than the ones seen in the previous year. And that the scores though not having as many replicates did have a much high percentage of people in the high end of the spectrum.
the observed test statistic is the Z value on the that leads to a probability of 83/100 or .83
...will fall within the first standard deviation, 95% within the first two standard deviations, and 99.7% will fall within the first three standard deviations of the mean. The Empirical Rule is used in statistics for showing final outcomes. After a standard deviation is found, and before exact data can be collected, this rule can be used as an estimate to the outcome of the new data. This probability can be used for gathering data that may be time consuming, or even impossible to found. When the mean equals the median and the values cluster around the mean and median, producing a bell-shaped distribution, then we can use the empirical rule to examine the variability. In this bell-shaped data set, we can calculate the mean and the standard deviation. The mean means the average value of the set of data. The standard deviation means the average scatter around the mean.
I have found the average’s so I can draw a graph for it, I have also rounded up the averages so it is easier to draw a graph for it.
The two columns in the graph represent the mean values and the error lines represent the standard deviations of the tested grasshopper and human subject. The jumping distance of the grasshoppers was more than the jumping distance of humans and the TTEST value was less than 0.05.
Analysis of the Environment of the Mobile Network System Executive Summary 3 Glossary of Abbreviations 4 Introduction 5 Recent History
The experiment is taken according to proper step as mentioned in methodology of the study described in chapter three. The result and their comparisons are described through table and figures as following. Finally the experimental results are summarized at the end of the chapter.
Knowing how to use statistical data and information can be a hugely beneficial in many aspects of your everyday life, whether you realize it or not.
There are two histograms, showing information on GPA, and showing information on final grade. Histograms are commonly used with interval or ratio level data (Corty, 2007). The data in the GPA is distributed and slightly skewed to the right, which means it has a positive skew and has a peaked distribution. The final histogram also has a leptokurtic frequency distribution, but is skewed to the left meaning this has a negative skew.
Most programming languages—such as C, C++, and Fortran—use compilers, but some—such as BASIC and LISP—use interpreters. An interpreter analyzes and executes each line of source code one-by-one. Interpreters produce initial results faster than compilers, but the source code must be re-interpreted with every use and interpreted languages are usually not as sophisticated as compiled languages.
Many different types of programming languages are used to write programs for computers. The languages are called "codes". Some of the languages include C++, Visual Basic, Java, XML, Perl, HTML, and COBOL. Each of the languages differs from each other, and each is used for specific program jobs. HTML and JAVA are languages used to build web pages for the Internet. Perl and XML can produce codes that block students from getting on certain inappropriate web pages on their school server. One of the most prominent programming languages of the day would have to be C++.
Normal distribution curves are symmetrical about the mean and the curve has some o special properties like:
The field of Computer Science is based primarily on computer programing. Programming is the writing of computer programs using letters and numbers to make "code". The average computer programer will write at least a million lines of code in his or her lifetime. But even more important than writting code, a good programer must be able to solve problems and think logicaly.