Essays on Analysis Of Variance

Summary Of Proposed Research

Global drought not only affects the world agriculture and economics, but interactively affects the phenotypic trait of plants across a different diversity gradient. Nevertheless, plants are able to adapt themselves to the drought environment by changing their phenotypic trait. From previous research at Jena Drought Experiment, in Germany, the results show that diversity not only has the capability to increase community’s resistance to drought, but also to increase community’s recovery ability after drought. On the other hand, the results show that the drought environment makes a strong selection on both, the plant phylogeny and functional trait. Yet, ...

Introduction

Statistics is a branch of mathematics, aimed at collecting and analyzing data via different methods such as analysis of variance, kurtosis, skewness or regression analysis. Nowadays, statistics helps processing data with a help of creating various charts that in turn help visualizing complex data sets. There are two major types of statistics, descriptive statistics and inferential statistics. Descriptive and inferential statistics require proper hypothesis formation and thus proper selection of the statistical tests that in turn have to be analyzed and interpreted successfully.

Descriptive Statistics

Descriptive statistics implies application of various coefficients that simplify process of data processing and aggregation (Trochim, ...

Analysis of GMOs Effects on Human Health

Introduction The study of genetically modified organisms has grown to be a topic of concern in the contemporary world. In particular, there exist regulatory procedures that guide the process of approval of the genetically modified crops and foodstuffs (DeFrancesco 796). The only technique that enables the assessment of such issues is the introduction of the mechanisms like the toxicological tests, for example, in mammals, through the performance of such a process over longer time intervals incorporating detailed blood as well as organ system analysis (Séralini et al. 1). However, it has been challenging to carry out such initiatives ...

ANOVA is a test use to measure the significance of the difference in the means of various groups. The F distribution is a significant test in ANOVA. The significance of the F distribution is brought about by the basic assumption made by an analyst when performing ANOVA. The principle assumption is that the populations have equal variances. The F distribution helps the analyst test the assumption (Goos & Meintrup, 2016). This is because during the calculation of the F ratio, the computation process also gives the result of the estimate of variance. One of the estimates of variance yielded through ...

Final Case Study Project

Introduction In this paper, we will describe and discuss the application of statistics and probability theory to a real-world problem. Our task is to study the impacts of a variety of factors influencing house prices in Prescott, Arizona. As it was mentioned in the previous studies, there are five lakes in the Prescott metropolitan area that provide a number of benefits to those who live or spent their holidays in this area. These benefits include scenic beauty, recreational opportunity, clear water, fresh air and so on and so forth. It is assumed that the property prices should depend on ...

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Abstract Post-traumatic stress disorder (PTSD) is an anxiety disorder that is associated with serious kind of traumatic events and can result in the development of suicidal thoughts. The problem of PTSD can develop in any person, but veterans have more chances of getting this disorder. Moreover, veterans may require more effective ways of treating the disorder as cognitive behavioral therapy, Prolonged Exposure, and Mindfulness-Based Stress Reduction are unable to give required results. Therefore, spiritual and religious ways of living a life are considered for treating the patients of PTSD, who have developed the problem as a ...

Introduction

In this paper, we will discuss and describe the application of statistics and probability theory to a real world problem. Our goal is to provide clear and meaningful statistical exploration of the National Football League data for the 2005 season. Starting from the primary issue of this case, we will provide descriptive statistics to explain the given data set. After this, the multiple linear regression will be developed to get the best prediction of the percentage of games won, based on the given variables (factors).

Data

We are given with the data set of 32 observations. Each observation reflects a ...