Investigating Bottling Company Case Study T.P University Statistics Mat 300 Mr. Thevar December 01‚ 2013 Investigating Bottling Company Case Study The case study that is being investigated is for a bottling company producing less soda than what is advertised. Customers have complained that the sodas in the bottles contain less than the advertised sixteen ounces. The employees at the company have measured the amount of soda contained in each bottle. There are thirty bottles that have
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Statistics Project | September 26 2011 | The project statistically studies and compares the daily closing price movement of two investment options – real estate and gold represented by DLF stock and SBI Gold ETF respectively – over the past 3 years. | Comparative study of DLF Stock and Gold ETF price movement | Contents Stage 1 3 Overview 3 Problem Statement 3 Inferences 5 Stage 2 6 Hypothesis Testing 6 Stage 3 7 Linear Regression Analysis 7 Manual Calculations 7 Regression
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Everyone Need More Sleep!! Group members: Instructor: CROFT‚ ADELLA S Summary A lot of students always complain that they have so many works to do and it makes them cannot have enough time to sleep. We also face to the same problem so we try to have a survey to find the relationship between sleep time and GPA. We make an online Survey to search people’ sleep time and their GPA. Data collection We make a data collection from the
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ECMT1010 BUSINESS AND ECONOMIC STATISTICS A ASSIGNMENT Semester 1‚ 2011 This assignment is worth 10% of your total mark. It must be handed in by 4:30pm on Friday‚ 3 June in the marked drop-off boxes in the Merewether building (Level 2‚ reception area). Late assignments will not be accepted and will result in a zero mark. The assignment must be done individually and plagiarism will result in severe penalty and possibly a zero mark. The assignment will be marked out of 50. Marks
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B6014 MANAGERIAL STATISTICS Course Description: This course introduces students to basic concepts in probability and statistics of relevance to managerial decision making. Topics include basic data analysis‚ random variables and probability distributions‚ sampling distributions‚ interval estimation‚ hypothesis testing and regression. Numerous examples are chosen from quality-control applications‚ finance‚ marketing and management. Type and Length of Exam: Open book‚ 3 hours‚ calculator such as HP-12C
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Business Statistics Semester II 2008/2009 Chapter 1 Introduction of Business Statistics An important decision-making tool in business and is used in virtually every area of business. Among the more common meaning of the word are: 1) the science of gathering‚ analyzing‚ interpreting and presenting data 2) a branch of mathematics 3) a course of study 4) facts and figures 5) a death 6) sample measurement 7) type of distribution used to analyze data Statistics are broadly
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H0: µ ≤ 3‚ H1: µ > 3 C H0: µ = 3‚ H1: µ ≠ 3 D H0: µ ≠ 3‚ H1: µ = 3 E None of the above Ans: B What is (are) the critical value(s)? A -1.96 and 1.96 B -1.645 C -1.645 and 1.645 D 1.645 E None of the above Ans: D What is the calculated test statistic? A 2.12 B 1.43 C 1.78 D 1.23 E None of the above Ans: A What is your conclusion? (choose the most correct answer) A Reject Ho at the 5% level of significance. B Accept Ho at the 5% level of significance. C Not sure. D
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P(X=x): | 0.0118 | 0.0382 | 0.0443 | 0.0465 | 0.0554 | 0.12 | 0.138 | 0.167 | 0.173 | 0.205 | | | | | | | | | | | | | | | | | | | | | | | ------------------------------------------------- Top of Form For this project‚ I compared the sugar content of equal serving sizes of 10 various breakfast cereals. Since serving sizes varied from brand to brand‚ the results were computed based on a serving size equal to 50 grams. The sugar content per 50 gram serving size was
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Analyze the implications of the findings from your Part II Final Project assignment. When constructing a multiple regression model‚ we must ask the question “Does a linear relationship exist between the dependent variable and the independent variables. Based on the multiple regression model of the Virginia hospitals data‚ all of the independent variables are not significant predictors of the dependent variable. This is evidenced by the varying p-values shown in the regression analysis. The null
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Statistics Test Pearson’s correlation test Correlation is a technique for investigating the relationship between two quantitative‚ continuous variables‚ for example‚ age and blood pressure. Pearson’s correlation coefficient (r) is a measure of the strength of the association between the two variables. The nearer the scatter of points is to a straight line‚ the higher the strength of association between the variables. Also‚ it does not matter what measurement units are used (URL1)
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