Statistical inference

day. It would be too expensive for Netflix to pay them. Instead, Netflix uses the concept of correlation and a complex statistical algorithm to make suggestions. This algorithm tracks and groups people based on movies that they have similarly rated in the past and makes movie recommendations based upon those who have liked the same movies as you. Correlation and other statistical concepts are explored in Charles Wheelan’s, Naked Statistics. Wheelan strips down the idea of statistics into a…

officers' health, physically and emotionally. Multicollinearity is a state of very high intercorrelations or inter-associations among the independent variables. It is therefore a type of disturbance in the data, and if present in the data the statistical inferences made about the data may not be reliable. It is caused by an inaccurate use of dummy variables. According to Inequality Constraints, Multicollinearity and Models of Police Expenditure, “Using a dummy variable to indicate accessibility…

citations, therefore the structure appeared unorganized within the text. Overall, the article successfully evaluated prior notions to suggest further research, but could improve the presentation of these ideas by referencing, as well as including statistical…

researchers to identify physiological traits or constructs that are clinically relevant to individuals with eating disorders, specifically those listed in the fourth revised version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) and the 10th revision of the International Statistical Classification of Diseases and Related Health Problems’ (ICD-10) definitions of Anorexia Nervosa, Bulimia Nervosa, and Eating Disorders Not…

The Army Management Staff College (AMSC) defines critical thinking as a self-directed and disciplined way of thinking, demonstrating mastery of a person’s skills and abilities. Application of this definition creates a tactical analysis of problems with alternative methods from a unique perspective. Development of critical thinking permits an individual to develop a reasonable stand with the ability to defend and create meaningful justifications. The development of analytical thinking skills…

report a year’s worth of closing prices from each company were attained as populations. 252 closing prices were obtained over the 365-day time, due to the market being closed on weekends and holidays. These closing prices were used to make statistical inferences about the quality and health of each companies stock. Processes and Concepts Sample of Stock Prices from Monday and Friday’s First, in order to accomplish all tasks required on the report a sample of the 252 stock price data was…

the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, inferential statistics are used to make inferences from the data to more general conditions. Most of the major inferential statistics come from a general family of statistical models known as the General Linear Model. This includes the t-test, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), regression analysis, and many of the multivariate…

Human beings are capable of using metacognition and with it display the use of logic and acquisition of new knowledge through the use of logic in their experiences. But what is logic? According to the book Philosophy Made Simple the definition of logic is: “Logic may be defined as that branch of philosophy which reflects upon the nature of thinking itself.” (224). But for those that have not delved into the science of philosophy the use of logic is considered to be the capacity of an…

Kurtosis is a statistical measure used to describe the distribution of observed data around the mean. Descriptive statistics do not enable us to make conclusions beyond the data we have analysed or reach conclusions regarding any inference we might have made. Measures of variability are another important technique used in descriptive statistics. These measures define the methods…

In this essay, we present a discussion about Bayesian methods in Spatial Statistics. Bayesian methods are approaches to statistical inferences which have been around for several decades and are also used in Geographic Information Systems. The application of these methods in practical problems has increased significantly within the last few years due to recent advances in tools for computation and simulation [1]. At the heart of any Bayesian data analysis method are the likelihood function, which…