STA200 Managerial Statistics Data Analysis Assignment (Group Project) Date Due: Refer to syllabus. Total Mark: 60 Files Required: Worth: 15% of final assessment Random Sampler Generator.xls; EDA_Stats.xls This assignment requires an amount of computer work and written comment. You may need to seek guidance from your tutor along the way. Do not leave things until too late!! Each question carefully describes what you are required to do so please follow these carefully! For this assignment
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Introduction The current state of the world economy is quite uncertain. Economic statistics that governments and other financial institutions use to project the economy imply that the world economy is shrinking. Since 2008‚ the state of the American economy has not been attractive. For instance‚ the United States economy has not registered any significant growth for the last three years. The 2011 second quarter results indicated that gross domestic product improved by 1%. At the same time‚ there
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Journal of Experimental Psychology: Human Perception and Performance 1985‚ Vol. I I ‚ No. 5. 640-649 Copyright 1985 by Ihe Am =an Psychological Association‚ Inc. 0096-1523/85/$00.75 Judging the Relatedness of Variables: The Psychophysics of Covariation Detection David M. Lane‚ Craig A. Anderson‚ and Kathryn L. Kellam Rice University Previous research on how people judge the relation between continuous variables has indicated that judgments of scatterplots are curvilinearly related to Pearson ’s
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2/8 (Friday) Standard Deviation cont’d Example: Amount of money earned by new immigrants Sample: 12‚ 15‚ 16‚ 20‚ 25‚ 36‚ 40 Step 1: Find the mean * x̄=164/7 * mean is 23.4 Step 2: Find how much each observation deviates from the mean * 12 - 23.4 = -11.4 * 15 – 23.4 = -8.4 * 16 – 23.4 = -7.4 * 20 – 23.4 = -3.4 * 25 – 23.4 = 1.6 * 36 – 23.4 = 12.6 * 40 – 23.4 = 16.6 * Note: all observations below mean will be negative‚ all above will be positive Step
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3- Identify the Independent Variable (the CAUSE)- Nouns Non-manipulated or quasi-independent variables (occurs naturally)/Manipulated or experimental independent variables (researcher changes the variables) Levels or values being used (day time vs. night time etc) Step 4- Identify and Describe the Dependent Variable (the EFFECT)- verbs or difference in___ Measures academic achievement‚ sales‚ GPA‚ Weight‚ height‚ income or any other type of data Data Nominal Data- categorical or discrete
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Chapters 1-3:In order to control costs‚ a company wishes to study the amount of money its sales force spends entertaining clients. The following is a random sample of six entertainment expenses (dinner costs for four people) from expense reports submitted by members of the sales force. $157‚ $132‚ $109‚ $145‚ $125‚ $139. Calculate the mean and sample variance(s^2) and standard deviation. Mean = 807/6 = 134.5. Sample Variance = (109925 – (807^2/6)/6-1 = (109925 – 108541)/5 = 1384/5 = 276.8.
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1. The three components of leadership are: 1.) influencing others‚ 2.) providing direction‚ and: ***getting voluntary acceptance 2. Comparing an organization’s strengths and weaknesses with its competitors is part of: PG 435 Not Self Assessment ***Competitor Analysis 3. Staff scheduling using information technology is only applicable to large organizations. ***False 4. When compared to public relations‚ marketing is: PG 430 Not Broader in scope 5. Which of the following types of
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Hypothesis: Ho: P = .10 (Mr. Plex and consortium will seriously consider settlement) H1: P < .10 (Mr. Plex and consortium will rigorously defend any lawsuit by Tommy) Analysis： For this case‚ we use 0.01 as the significance level. In a hypothesis test‚ a Type I Error occurs when the null hypothesis is rejected when it is in fact true. That means if the consortium decides to consider a settlement when greater than 10% of the patrons resented ads/commercials is true and we reject the null hypothesis
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Practice Problems 1-KEY 1. The closing stock price of Ahmadi‚ Inc. for a sample of 10 trading days is shown below. Day Stock Price 1 84 2 87 3 84 4 88 5 85 6 90 7 91 8 83 9 82 10 86 For the above sample‚ compute the following measures. a. b. c. The mean = ∑X/n = 860/10 = 86 The median = (85+86)/2 = 85.5 The variance = ∑ X - X 2/ n-1 = {(84-86)2 + (87-86)2 + (84-86)2 + (88-86)2 + (85-86)2 + (90-86)2 + (91-86)2 + (83The standard deviation = √8.89 = 2.98 The coefficient of variation = 2.98/86 * 100%
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Section 1.1 - Introduction to the Practice of Statistics 1. Explain the difference between a population and a sample. A population is the entire group to be studied and a sample is a portion of the population. 2. Explain the difference between a parameter and a statistic. A statistic is a numerical summary of a sample and a parameter is a numerical summary of a population. 3. What is Descriptive Statistics and how is it used? Descriptive statistics describes the results of a sample without
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