The data set used for this assignment was the grades.sav data file. The variables used were gender, GPA, total, and final. GPA and final were used in the histogram scales, along with skewness, kurtosis values, and scatter plot. This assignment included a sample size of (N) 105. Testing Assumptions 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
skewness and kurtosis. 3. Inferential statistics concerned with generalizing from a sample to make estimates and inferences about a wider population (Neuman, 2003... ... middle of paper ... ....e. more than 30 (Hair et al., 2006). Sekaran (2003) suggests the approximation to normality of the observed variables could be investigated by inspecting the data through histograms, stem-and leaf displays, probit plots and by computing univariate and multivariate measures of skewness and kurtosis. Histograms
7.3 7.6 8.1 8.2 8.5 9.2 9.3 9.5 9.5 15.2 Range: 7.9 Sum: 92.4 Mean: 9.24 Median: 8.85 Mode: 9.5 Standard Deviation: 2.237 Skewness: 1.955 Kurtosis: 5.706 There exists difference within the groupings because every variable including but not limited to Kurtosis, skewness, count, minimum, and maximum have different values. Only the second group possesses an outlier as the response time is escalated for the group. New Data Doubled: Group 1: 2.2 2
Introduction For this SPSS final assignment, we will follow our step by step to create supporting statistical output that will include graphs and tables that will assimilate our text and the appropriate data set in their correct place within our research document. Then analyze and explain each section and the variables so that we can gain a much better understanding of the one-way ANOVA and GPA. Description of Data File For our data set, we will explore the association amongst quiz 3 and the section
PARTICLE SIZE DISTRIBUTIONS (PSD) There are several mathematical distributions used for PSD’s, the 2 main distributions are Gaussian and Log-Normal. The Gaussian distribution is less common, and due to the fact that it is plotted with a regular scale it is asymmetrical. The Log-Normal distribution is plotted on a log x axis, hence this makes it more symmetrical and easier to read. Another distribution is a multimodal distribution, which has more than 1 maximum. 5 A study was done that compares the
Summary This report analyses social and economic factors such as, risk of poverty, employment rate and population completed at least upper secondary education. In this report you can find summary of the data, descriptive statistics, correlation and regression analysis, which shows that poverty has a small negative relationship with employment rate and negative relationship with education. Thus, this means if countries would increase employment rate and increase number of people who finish secondary
The Essentials of Studying Statistics Introduction Making effective business decisions are always based on cost, time and prospect. Calculating money cost, time cost and forecast of return, all are based on marketing research, data mining, information analysis and findings. The way of the finding the answer is statistics. Statistics – The Method of Organizing Data Broadly, statistics is a set of disciplines for study quantitative information. Implied that several methods used to collect
CHAPTER 5 EXPERIMENTATION 5.1 Spure gear terms and concept Figure 13: Terminology definitions for spur gears Addendum: The radial distance from the pitch circle to the outside diameter Dedendum: The radial distance between the pitch circle and the root diameter Circular thickness: The distance of the arc along the pitch circle from one side of a gear tooth to the other Circular pitch: The length of the arc of the pitch circle from one point on a tooth to the same point on the adjacent tooth
Bernard and Durlauf (1995), applying cross-section and time-series data set for different types of economies for the analysis of convergence hypothesis. Economic growth strongly predicted by Solow model using exogenous technological change, capital deepening and short-run concave production opportunities, provides evidence regarding behavior of economies over time. The analysis shows that how economies, in the long-run, converge to the balance growth, irrespective of the initial capital endowments
Sampling is the raw resource which enables the quantitative researcher gain insight on the target population. In the past half-century, Haer & Becher (2012) note that surveys have become the ubiquitous data gathering devices serving many researchers purposes for assembling data in person or by mail. Nevertheless, the purpose of the survey is designed to gather valuable data, however, even more important is the design and in the way it is conducted ethically. Sampling strategies can be diverse depending
Background and Rationale Obsessive compulsive disorder is a psychiatric disorder, formulated of unwanted and repeated thoughts leading to extreme and obsessive behavior to avoid those thoughts. People who have OCD will never be satisfied regarding their cleanliness, always thinking they are not clean enough. Antidepressants are used as a common medication for this disorder. Although patients usually wait for years before they seek medical help, they deny at first that they have problem. It may be
The Lady Tasting Tea The different tastes between pouring milk into tea or tea into milk raised R.A. Fisher’s interest to design an experiment for testing the lady. Dr. David Salsburg used this famous anecdote as the book title, and elaborated the development of modern statistics by several stories. Each chapter contains one outstanding statistician and his/her contributions. Impressively, the whole book was linked by R.A. Fisher, K. Pearson, E. Pearson and J. Neyman, these exclusively distinguished
Quantitative data First of all before writing about Quantitative Techniques, we should know about the Quantitative Data. Quantitative data is kind of data that can be measured numerically. For Example: quantitative data is used to measure things accurately, such as the temperature, the amount of people in a crowed or the height of a structure. Although quantitative data usually involves numbers and equations, some data records actions, such as the frequency. Quantitative analysis After knowing about
ENVIRONMENT PROBLEMS OF DHAKA(BANGLADESH) Now a days environmental conditions of Dhaka is not in equilibrium.Air ,water and noise pollution are very dangerous for human health, ecosystem and economis growth of Dhaka.Environmental degradation of Dhaka is also caused due to poverty , overpopulation,and lack of awareness in the people of Dhaka . The protection of environment has become a major issue for the well being and economic development of the city. MAJOR ASPECTS OF ENVIRONMENTAL PROBLEMS AIR
suitable for the nominal and ordinal scales and for the data which is normally or non-normally distributed (Field, 2009; Kleinbaum, et al. 2008). As mentioned earlier, the normality distribution of the research data had been investigated by skewness and kurtosis tests (see Table 5-1) and the study used the factor scores (which are not ordinal or nominal scales) yielded by the factor analysis for the further statistical analysis. Therefore, the parametric tests could be proper techniques to test the difference
This paper is an illustration of quantitative data analysis using the IBM SPSS Statistics software. It does not provide the details of technical skill to operate SPSS but focuses on developing a set of decisions and actions in order to set up, describe, manipulate and analyse data in the specific context of the study of Jackson and Mullarkey (2000). In order to fulfil the task, this paper illustrates a step-by-step of actions that were made on the data. It also gives the insight into the determination
Summary The Lady Tasting Tea is a really interesting book, which draws a picture of statistics’ development in 20th century. Many famous people who contributed to this filed are introduced with their talented creations. You even do not need to own professional statistical knowledge. Just some basic mathematical knowledge is enough. And in this book, we do not only see these persons’ inventions and applications of statistics, but also their very distinct characteristics. Generally speaking, Karl
Introduction This assignment aims to employ a dynamic CPPI strategy and discuss its effectiveness in managing an Index Portfolio. After defining strategic criteria, we construct an optimal portfolio based on the Mean-Variance theory. We then manage it for the defined one-year period and apply classical (e.g. Sharpe Ratio, Treynor Ratio) as well as CPPI-specific (e.g. Omega Ratio, T2, M2) performance measures to create a consolidated portfolio view. Finally, using data form the Wharton Database we
Project 1 The winter sport of skiing and snowboarding has a huge market base in South Lake Tahoe, California. Tahoe locals and tourists from all over the world come to South Lake Tahoe to ski/snowboard at their ski resorts. Visitors range from toddlers to elders, which makes the ski resorts very family friendly. Heavenly and Sierra at Tahoe are the main ski resorts in South Lake Tahoe, and they are always looking for ways to make their resorts better. Both Sierra at Tahoe and Heavenly are interested
Keywords— Signature verification, signature recognition, signatures database, and HMM. I. INTRODUCTION Biometrics is the act of science to verify and identify a human being. Biometrics confirmation crown or judge numerous improvements over conventional approaches. Biometrics can be categorized into two types: Behavioral and physiological. Behavioral biometrics including signature verification, keystrokes dynamics. Physiological biometrics including fingerprints and iris characteristics .The signature