CASE: 32 - Overdue Bills CONTENTS 1) The Executive Summary a) Describe the most important Facts and Conclusions. 2) Introduction a) Purpose and Scope of Paper b) Questions of Interest, and/or hypotheses c) Describe the nature of the data set 3) Analysis and methods section a) Interpret the statistical summaries i) Tell the reader what you have found in the data (results, facts only). ii) Explain what those findings mean with regard to the problem (interpret results). b) Design –
Words: 1867 - Pages: 8
BIG DATA ANALYTICS WITH TWITTER Aug 23, 2012 Marti Hearst & Gilad Mishne WHAT IS TWITTER? TWITTER AS CULTURAL PHENOMENON Some 15% of online adults use Twitter as of February 2012, and 8% do so on a typical day. Although overall Twitter usage has nearly doubled since the Pew Research Center’s Internet & American Life Project first asked a stand-alone Twitter question in November 2010, the 15% of online adults who use Twitter as of early 2012 is similar to the 13% of such adults
Words: 3359 - Pages: 14
factors which influence regional economic growth will be tested. Conclusion will be included in the last section. 2. Literature review In China, the study of regional economic growth has attracted many attentions, but the study on regional correlation and disparity is usually made using traditional non-spatial analysis such as variation coefficient, Gini coefficient and so on (Xu et al,2005). However, at the regional scale,
Words: 2815 - Pages: 12
approach to analyze statistical data using a variety of techniques out of which many are graphical analyses. EDA is used to dissect the data and look for the hidden patterns and correlations. Some of the graphical methods include pie charts, bar graphs, histograms, frequency and relative frequency tables, box plot, scatter graph, stem-leaf diagram etc. There are also quantitative measures of data which include central tendencies like mean and median, measure of dispersion like standard deviation,
Words: 983 - Pages: 4
Running head: REGRESSION Regression Names RES/342 - Research and Evaluation II Date Professor Table of contents Executive Summary 3 Dataset 3 Data Observations 3 Statistical Analysis 4 Conclusion 4 Dataset for the 2004 season 5 Regression Analysis taking LOG (Y) 6 Regression Analysis 8 Executive Summary This report is to determine whether total team
Words: 1150 - Pages: 5
Bar Graphs & Pie Charts: follow area principle, (pie has to add up to 100%) Histograms: rectangles class intervals based on frequency Boxplots: less informative than histogram, (can’t tell shape unless unimodal) Statistics: Descriptive- how we cope w/ numbers [graphical methods (histograms, boxplots) numerical methods (mean, median)] Variable Types: QUANTITATIVE (numerical): Discrete- numbers are a certain gap apart, can’t have decimals (# kids in a house) Continuous- numbers can be arbitrarily
Words: 912 - Pages: 4
Minimum Value, Maximum Value, and Range.……………………………………………………….. 17 Tutorial 2: Correlation.…………………………………………………………………………….. 18 Generating Graphical Statistics in SPSS……………………………………………………………..20 Tutorial 1: How to Generate Scatter Plots.………………………………………………………20 Tutorial 2: How to Generate A Histogram.………………….…………………………………... 22 Tutorial 3: How to Generate A Stem and Leaf Plot……………………………………………..23 Tutorial 4: How to Generate A Box Plot………………………………………………………….26 Statistical Models in SPSS……………………………………………………………………………
Words: 5895 - Pages: 24
created by Nutrition Quest is a very efficient method used to assess daily folate intake. The objective of this study is to test whether or not a dietary folate equivalent screener can be used in supplementary of the food frequency questionnaire. The correlation between the food frequency questionnaire and the dietary folate equivalent screener for total folate intake (r = .70) were correlated but statistically insignificant (p < 0.05). However analysis of previous studies suggests that food frequency
Words: 1341 - Pages: 6
type, sales numbers, store size and the competitive types. The amount of sales and selling square feet variables are given in thousands of dollars. Results and Discussions In analyzing the data on the 250 Pam and Susan’s stores, we first created a scatter plot of the competitive types in the horizontal axis against sales (in thousands) on the vertical axis. The competitive types were identified as follows: * Type 1- Densely populated area with relatively little direct competition. * Type 2 –High
Words: 1892 - Pages: 8
dollars for four years. Therefore, the recorded quarterly sales for the Norton Company were referenced and included 16 quarters total. A scatter plot was graphed showing the recorded sales for the 16 quarters. The following equation was obtained from the historical data: y = 0.461x + 4.2 with the R² of 0.1695 and a R of 0.412. R is the coefficient of correlation, which provides the strength and direction of a linear relationship. R2 is the coefficient of determination, which measures the amount
Words: 840 - Pages: 4
