Probability and statistics

4.2 Multiple Regression A regression model was run to predict the wine rating from different features (fixed.acidity, volatile.acidity, citric.acid, residual.sugar, chlorides, free.sulfur.dioxide, total.sulfur.dioxide, density, pH, sulfates, alcohol) of wine in R. According to the initial analysis on the distributions of the features, many of those features are right-skewed and thus require log transformation. Forward Selection Algorithm was used to find the best predictive models for wine…

This report identify a dashboard product available for sale and perform a pre-purchase evaluation on the product. If possible, download a trial version and experiment with a data set. Demonstrate how it works, how it is installed, how well it follows best practices. Performed a high level evaluation using assessment tools distribute in class. II. Product description To find a property dashboard product, I searched Business Intelligence Dashboard Software rank in Software Advice…

Deviation |Std. Error Mean | |Pair 1 | | |N |Correlation |Sig. | |Pair 1 |Before & After |20 |.193 |.415 | |Paired Samples Test | | |Paired Differences…

The Pearson correlation of the statistics model may be further corrected small numbers of observed values. The results two-tailed correlation indicates that PAE is not correlated to any of the any of the following indicator of the base-10 concept score, R2, slope. The studies from Siegler…

Distribution chart, then calculated the grand mean, total sum of squares, within groups sum of squares, and between groups sum of squares. Lastly, I calculated the mean square between groups and within groups followed by calculation the Statistic. Descriptive Statistics Population 1 (M = 4.2) while…

Studies and information gathered from the population offers a valuable tool for a marketing manager to utilize when one is trying to increase wine sales in an operating establishment. Many studies exist, which concern factors shown to influence dining satisfaction such as the quality of food, the quality of the service, as well as the environment and ambiance. However, nominal research exists, which focuses on the customer’s satisfaction with wine when they are in a restaurant atmosphere, while…

During World War II, terrible, unspeakable, experiments were being performed on prisoners without their knowledge or their consent. These experiments were performed against the prisoners’ will and ignored any and all medical conscience that today’s doctors hold as the standard. Though these experiments are considered one of the darkest times in terms of medical-ethics, these very experiments yielded some valuable information. With this in mind, a topic that has arisen decades after the original…

1. Lipira AB, Gordon S, Darvann TA, Hermann NV, Van Pelt AE, Naidoo SD, et al. Helmet versus active repositioning for plagiocephaly: a three-dimensional analysis. Pediatrics. 2010;126(4):e936-45. Researchers in this study analyzed the two most common treatments for deformational plagiocephaly (DP) to determine if there was significant difference in the outcomes of patients using each treatment. Both active repositioning and cranial remolding are widely believed to be similar in efficacy and…

3. PROBLEM & RESEARCH SETTING 3.1 Problem Statement Numerous research studies have been conducted by the CII and also other FEP researchers with regards to the implementation and critical importance of front end planning in project success. But there are very few studies that provide quantifiable statistical data supporting FEP adoption. CII has published data analysis for FEP data which analyses the relationship between project PDRI scores and scope definition, and project cost, schedule and…

Autocorrelation is not expected to be an issue with the model, given that the it is not using time series data, and it can therefore be assumed that there is no autocorrelation present in the model. To make sure that there is no perfect collinearity present in the model, it is recommended to run a collinearity test of the model (see: Exhibit 1.1). If a variable generate a VIF (Variance Inflation Factors) value above 10.0, the model might have a collinearity problem and attempts to correct the…