Case #9 1. Is it proper to multiply the average order size‚ $42.33‚ by the number of addresses (1‚300‚000) in the target mailing? a. No‚ there is far too much variability in responses‚ including a massive outlier‚ to have any confidence in this average. The response rate is very low‚ one would be concerned as to why the rate of response was only 9.2%. The question would therefore be whether the remaining 90.8% will follow the same pattern or will they buy anything at all. There is also
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Vocabulary for Chapter 3 – Numerically Summarizing Data Arithemetic mean ‐ The arithmetic mean of a variable is computed by adding all the values of the variable in the data set and dividing by the number of observations. Population arithmetic mean ‐ The population arithmetic mean‚ µ‚ is computed using all the individuals in a population and is a parameter. Sample arithmetic mean ‐ The sample arithmetic mean‚ x ‚ is computed using sample data and is a statistic. Mean – Although other types of means exist
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No One Formula for Success A Review of the Matthew Effect Lorri Thompson Lone Star Community College Abstract In The Matthew Effect chapter of Outliers‚ Malcolm Gladwell states that a person’s success s attributed to the timing of their birth date as it relates to the cut-off dates of sports and education. He believes that this one random date is the start of a series of advantages that can ultimately lead to success. Although timing of a birth date and opportunities can play a significant
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Assignment No. 2 September 23‚ 2014 Case Study: Motion Picture Industry Course: ‐Statistics Professor: Homayoun Khamooshi‚ Ph. D. Team Members: Selena El Hajji Cristina Brain Vizcarra Mandatory Integrity Document for MSPM Team Projects Cristina Brain Vizcarra: “I am satisfied that the contribution made by each team member warrants a full share of the credit for this work‚ and I affirm that I have completed this assignment in accordance with the Code of Academic Integrity
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Green Human Resource Management Practices:Barriers to Implementation of Green Practices Ammaria Kanwal (11124009) Shaiza Nazir (11124025) Maaz Ayub (12233003) Student GIFT University Gujranwala GIFT Business School Supervised by: Muhammad Abid Awan Lecturer GIFT University Gujranwala (Research Paper)
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Exam 1 Chapter 1 * In statistics the group we wish to study is called the population * A sample is a subset of the population which is used to gain insight about the population. Samples are used to represent a larger group‚ the population. * • Descriptive statistics – the collection‚ organization‚ analysis‚ and presentation of data. * Inferential statistics – uses descriptive statistics to estimate population parameters; an educated guess about the population based on sample
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that some outlier may exist‚ because the median is less sensitive to outliers than the average. For the 2 yield values‚ there is much less variability in the data‚ because the standard deviation is a small percentage of the mean‚ and the data seems to be more centered‚ as mean‚ mode and median have similar values. Looking at a Box&Whisker box plot for the assets data‚ the presence of the outliers becomes visually clear: It is not surprising to see “big names” in the extreme outliers: those are
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Motion Picture Industry Ans 1: Using descriptive statistics such as the mean‚ median‚ standard deviation‚ range and quartile followings results were found: Variable Min Max Range Mean Deviation 1st Quartile 3rd Quartile Interquartile range Opening gross 0.009 108.436 108.427 9.37432 18.8747021 0.0625 12.4605 12.398 Total gross 0.025 380.176 380.151 33.0384 63.16469 0.3895 47.5585 47.169 No of theatres 5 3910 3905 1277.94 1379 45.5 2679 2634 weeks in top 60 1 27 26 8.68 6.38951161 3 13 10 Opening
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Tutorial Week 2 Summary Measures for Numerical Variables Introduction In this week’s tutorial‚ we look at summarising a single numerical variable. There are five (5) aspects that need to be investigated: average‚ spread‚ location‚ shape and outliers. You will complete some of the work by hand and the rest using Microsoft Excel. Specifically the aims of this tutorial are to: Produce frequency distributions and histograms for numerical data Calculate by pen-and-paper some of the standard summary
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Phuong Pham Prof. Johnson Lab 3 Gravimetric determination of Calcium as CaC2O4.H2O Feb‚ 27‚ 2014 I. Objective: The purpose of this lab is to determine how well gravimetric method measures the calcium level in a solution of known calcium concentration. II. Method: a) Overview: In this lab we will prepare 25 mL known concentration Calcium solutions. Then we will use Gravimetric method to determine the concentration of Calcium in each solution to figure out how well this method is. As we know
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