to do the analysis of variance between and within the groups whenever the groups are more than two. If the Type one error is set to be .05, and there are several groups, each time a mean is tested against another there would be a .05 probability
Lab Report 1 Logarithmic Plotting Devin Edwards ENGR 3070L CRN: 27194 January 17, 2018 Dr. Margraves Objective The purpose of this experiment is to graph and look at the logarithmic plots and write corresponding exponential equations that match the “Best Fit” line of the data points. Theory The data in Table 1 can be represented by the exponential equation given in equation 1 below. Equation 1 is also used for Cartesian plots: Q=KH^n (1) On this type of plot a straight line
silhouettes of skinny people. The first step it tells you to do is to put a finger on the “E” key for items that belong to the thin people category, and to put a right hand finger on the “I” key for those that belong to the fat people category. Making an error will cause a red X to appear on the screen. in the directions you are instructed to go as fast as you can while being accurate. In the second round of the test the categories change, the “E” key is now for bad words and the “I” key is now for good
Abstract Survival analysis is normally used to describe the analysis of data that depend on the time between constant starting point until the occurrence of specific event or endpoint. There are certain aspects of the survival analysis data, such as censoring and non-normality, which can generate great difficulty when trying to analyze data using traditional statistical models. In this paper, the Kaplan-Meier estimator is used to estimate the survival function. Also Log-Rank test is used to compare
Introduction For two days, on the 14th and 15th of April, a field excursion to Hastings Point, New South Wales was conducted. At Hastings Point, topography, abiotic factors and organism distribution were measured and recorded, with the aim of drawing links between the abiotic factors of two ecosystems (rocky shore and sand dunes), the organisms which live in them, and the adaptations they have developed to cope with these conditions. Within these two ecosystems, multiple zones were identified and
BA 6933 Final Paper Submitted by Akhila Guntamukkala ID Number: 1418452 Statistics and Quantitative Methods October 14th, 2017. Statistical Methods is defined as methods of collecting, summarizing, analyzing, and interpreting variable numerical data. Statistical methods can be contrasted with deterministic methods, which are appropriate where observations are exactly reproducible or are assumed to be so. Quantitative methods emphasize objective measurements and the statistical, mathematical
Executive Summary This is an analysis conducted on a dataset for transportation for various cities of the United States of America. The analysis studies the dataset from the perspective of how the number of weekly riders level of the population of the cities varies with respect to a set of predictors. It explores the effect of each of the selected predictors on the number of weekly riders. The analysis derives an equation to predict the number of weekly riders of any given number of the city based
This would solve the non existence of stationarity in variables. The key point is to run two step method proposed by Engle and Granger, save residual and test them by unit root for stationarity. The key point was to compare the t-test with MacKinnon critical value table . The cointegration was calculated since 1989 and started to appear in period 1989 – 2003 through the followed years until its
seems to be created from a different structure, as it significantly deviates from the other data objects. The median of a data set is not significantly impacted by outliers, while the mean is. 2. How do outliers differ from noise? a. Noise is a random error or variance in a data set, while an outlier is one or two points that deviate from normality. Noise should be removed from the data set during the data cleaning and preparation phase and before the detection of outliers. Finally, outliers can be interesting
Error of the Estimate 1 .521a .271 .251 5.28001 a. Predictors: (Constant), INTELLECTUAL_STIMULATION, CHARISMA, INDIVIDUALIZED_CONSIDERATION Table 9 show that R-square is 0.271 indicate that 27.1% each variable of job satisfaction. R-square are low and this means that 73.9% of the job satisfaction was influence by other factors. Table 10 : Anova ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 1099.874 3 366.625 13.151 .000a Residual 2955.117 106
Over the past few years it has not been uncommon for corporations to consider filing for bankruptcy due to ongoing financial difficulties. Significant and well-known retailers such as Target, Sears and Toys R Us have all filed for bankruptcy, and a few have closed their doors permanently. Target remains a predominant retail establishment in the United States, however they were not able to continue operating in the Canadian marketplace. Various factors such as geographical location, price sensitivity
Reliability Statistics: Table 4.1: Reliability Statistics for Quality of Work life: Cronbach's Alpha N of Items .650 18 Table 4.2: Reliability Statistics for Loyalty of employees: Cronbach's Alpha N of Items .442 4 Cronbach’s alpha is a measure of internal consistency, that is, how closely related a set of items are as a group. It is considered to be a measure of scale reliability. The alpha coefficient for quality of work life is .650. The alpha coefficient for loyalty is. 442. The scale
The next natural step after determining the socioeconomic inequalities in a health variable is to disentangle the sources of the socioeconomic inequalities. The method for decomposing the inequalities into their contributing factors proposed by Wagstaff et al (2003) has become a staple in empirical research on socioeconomic inequalities in health. Wagstaff et al (2003) have demonstrated that if the relevant health outcome, h, can be expressed as a linear function of a set of k covariates, as follows:
Experiment 5: Study of Solubility Equilibrium Aim To determine the solubility product constant Ksp of a sparingly soluble salt potassium hydrogen tartrate (KHC4H4O6) in water To calculate the change in enthalpy (ΔH° reaction) and entropy (ΔS° reaction) of the reaction Results and Discussion The dissociation reaction of potassium hydrogen tartrate (KHC4H4O6) in water can be written as: KHC4H4O6 (aq) ⇆ K+ (aq) HC4H4O6- (aq) Determination of Ksp at 284 K The expression of its solubility
Toyo Tires is one of the best tires manufactures in the world. This company has stood for innovation, quality, performance, and excellent service for 65 years, including nearly 45 years in the United States. Combined, the Toyo group of companies has development, manufacturing, testing, distribution, and marketing operations throughout the Americas, Europe, Asia, the Middle East, and Oceania. As a result, Toyo Tires has built a solid reputation around the world. Toyo Tires Malaysia mainly produces
CHAPTER: 2 REVIEW OF LITERATURE ================================================================= Various articles appeared in different journals on various aspects of operational risk but they are restrictive in nature and do not give a comprehensive picture. A brief review of some of the relevant literature is as under: Adrian (1999) examined the use of advanced probability models to evaluate risks and justify the decisions where reliable data is available, e.g. reinsurance, money markets and