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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Satoru SHIMOKAWA‚ SOSC1100‚ Fall 2013 SOSC1100 Elementary Statistics for Social Research [Common Core (QR) for 4 year program] Fall 2013 Lectures: Wed and Fri‚ 13:30-14:50 / Rm. 4620‚ Academic Building (Lift 31-32) Course Website: http://lmes2.ust.hk INSTRUCTOR: SHIMOKAWA‚ Satoru OFFICE: 3370 Academic Building EMAIL: sosatoru@ust.hk OFFICE HOURS: Fridays‚ 3:00pm – 5:00pm TEACHING ASSISTANT: Stephen Choy OFFICE: 3001 EMAIL: choyho@ust.hk OFFICE HOURS: TBA 1. Course Description: This
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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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062896401 Home Size 31.69164882 24.44661008 1.296361692 0.223968044 The formula for the coefficient of correlation‚ . = 0.076. a. Compute the coefficient of correlation is .308 b. Determine the coefficient of determination. Regression Statistics Multiple R 0.37931016 R Square 0.143876197 Adjusted R Square 0.058263817 Standard Error 15.25058359 Observations 12 The coefficient of determination is 14%. b. Determine the coefficient of determination is .095 c. Can we conclude that
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Running head: [M1A BUS210] [M1A BUS210] Anthony Johnson Allied American University Author Note This paper was prepared for [Business Statistics I]‚ [M1A] taught by [John Hannon]. PART I: APPLICATION Directions: Please answer each of the following questions (responses should be at least two paragraphs in length and be written in complete sentences‚ if applicable). Show essential calculations‚ if applicable. 1. Describe the difference between a population and a sample. A population
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IBA134 Business Statistics OUA Study Period 2 (SP2)‚ 2013 Computer Assignment (Worth 15% of the overall assessment for the unit) Due date: 5pm (QLD time) on Sunday 11‚ August 2013 Instructions: • All numerical calculations and graphs/plots should be done using EXCEL. • A hard copy of your completed assignment must be submitted electronically with the Griffith OUA Cover Sheet (available in the Assessment section of the unit website) attached as the 1st page
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CHAPTER 10: TWO-SAMPLE TESTS WITH NUMERICAL DATA 1. The t test for the difference between the means of 2 independent populations assumes that the respective a) sample sizes are equal. b) sample variances are equal. c) populations are approximately normal. d) all of the above ANSWER: c TYPE: MC DIFFICULTY: Moderate KEYWORDS: pooled-variance t test‚ assumption 2. The t test for the mean difference between 2 related populations
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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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There are three basic operational rules which help to simplify the use of the sigma notation. 1. For any integer N Operational Rules for Summation N i i N i i N i i i y x y x 1 1 1 2. If c is a constant‚ that is‚ does not depend on the index of summation i‚ then Continue... Nc c and x c cx N i N i i N i i 1 1 1 The graphical representation of data gives us the idea on the shape of the distribution
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