Stats Essay example - 850 Words

Statistics 5371 Final Exam Review Fall 2012. 1. Suppose a researcher wants to design a new study with a power of 0.8 and a significance of 0.05 to test whether the caffeine content for a brand of coffee is really 100mg. A previous study gave a mean caffeine level for this brand of 110 mg and a standard deviation of 7 mg. Use PROC POWER to determine how many cups of coffee need testing. 2. A company did a study to estimate the effect of different promotional strategies on the market share of one of their products. Over a period of 36 months they varied their promotional strategy. There are four strategies: Ordinary (standard pricing and advertising); Discount (price discount with standard advertising); Promotion (standard pricing,†¦show more content†¦c. Perform a one-factor analysis of variance for the data. Write the table below and interpret the result. d. Regardless of the significance of your ANOVA, apply contrast defined by applying the weights (-0.5, 0.5, -0.5, 0.5) to the strategies (in the order listed). Calculate a 95% confidence interval for the contrast. e. What does this contrast measure? f. Interpret the confidence interval. g. Suppose we believe that the effect of a price discount may depend on whether there is enhanced advertising or not. Develop a set of contrast weights that would measure the degree to which the effect of a price discount differs between the standard advertising and enhanced advertising settings. 3. The distribution of undergraduate grade point averages at a large university is approximately normal with a mean of 2.8 and a standard deviation of 0.4. a. What proportion of GPAs is between 3.0 and 3.5? b. The Dean of Students wants to place students with GPAs in the bottom 10% of the distribution on probation. What is the GPA cutoff for being placed on probation? c. The designation of â€Å"summa cum laude† (roughly translated as â€Å"super high honors†) is reserved for the students with GPAs in the top 1% of all students. What is the GPA cutoff for â€Å"summa cum laude†? d. The normal distribution may be a useful approximation, but it can’t exactly be the correct distribution. Explain why this is so. e. What percentage ofShow MoreRelatedStats Report1763 Words   |  8 PagesCase Study: Property Purchase Strategy Table of Contents Main Report 3 Introduction3 Decision Analysis 3 Increasing the expected payoff 5 Conclusion 5 Appendix6 Decision Tree6 Calculation of probabilities 7 Calculation of expected payoff8 Relationship between the expected payoff and amount of bid9 Introduction Decision analysis is an integral and powerful component in the decision making process, and can be used to determine the optimal decision alternative according to the criterionRead More stats Essay560 Words   |  3 Pages Number of Ours Students Study Per Week A Term Paper Presented to Department of Business Administration College of Business Administration In Partial Fulfillment Of the Requirement for ECO 331: Business Statistics II By Friday April 11, 2003 Table of Contents Abstract†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..1 Introduction†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦....2 Methodology†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..2 nbsp;nbsp;nbsp;nbsp;nbsp;Frequency Distribution†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..3 nbsp;nbsp;nbsp;nbsp;nbsp;DescriptiveRead MoreStat Ch1410358 Words   |  42 PagesAdjusted R Square Standard Error Observations ANOVA df Regression Residual Total Intercept x 1 8 9 Coefficients 39.222 -0.556 SS 110 74 184 MS 110 9.25 F 11.892 Significance F 0.009 0.7732 0.5978 0.5476 3.0414 10 Standard Error 5.942 0.161 t Stat 6.600 -3.448 P-value 0.000 0.009 e. 59.783% of the variability in Y is explained by the variability in X. 6. Shown below is a portion of a computer output for regression analysis relating Y (dependent variable) and X (independent variable)Read MoreStat Project1145 Words   |  5 Pages| | | | Regression | 3 | 609.527 | 203.1757 | 130.0599 | 7.56E-06 | | | | Residual | 6 | 9.373017 | 1.562169 | | | | | | Total | 9 | 618.9 |    |    |    | | | | | | | | | | | | |    | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | Intercept | -10.1702 | 3.473129 | -2.92827 | 0.026346 | -18.6687 | -1.6718 | -18.6687 | -1.6718 | Food Sales (tens of thousands of dollars) | 0.027038 | 0.012041 | 2.245505 | 0.065847Read MoreStats 1900883 Words   |  4 PagesSTATS1900 Business Statistics Major Assignment Date Due: Refer to Course Description Total Marks: 40 Worth: 20% of final assessment This assignment requires a considerable 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. In this assignment, you will again examine data from a fruit and vegetable marketRead MorePhysiology Intro to Stats624 Words   |  3 PagesMiguel Caballero 010040535 BIO 342L Th 9-11:45AM Lab Report 1: Introduction to Statistics and Graphing Comparison of jump height between males and females Figure 1: Comparison of avg jump (in CM) between males (n=11) and females (n=10) with a p-value of 0.00203. This p-value indicates a significant difference between the avg. jump heights of males and females. The bars are the avg. jump heights along with standard deviation of the mean. Results: The p-value of 0.00203 is plt;0.05Read MoreStat Exam1473 Words   |  6 PagesCHAPTER 1: INTRODUCTION AND DATA COLLECTION 1. The process of using sample statistics to draw conclusions about true population parameters is called a) statistical inference. b) the scientific method. c) sampling. d) descriptive statistics. ANSWER: a TYPE: MC DIFFICULTY: Easy KEYWORDS: inferential statistics 2. Those methods involving the collection, presentation, and characterization of a set of data in order to properly describe the various features of that set of data are called a) statisticalRead MoreContract and Rev. Stat.1723 Words   |  7 Pagescontract, Ill. Rev. Stat. 1971, ch. 26, par. 2 -- 201(2). Ill. Rev. Stat. ch. 26, para. 2-201(1).Zayre Corp. v. S.M. amp; R. Co., 882 F.2d 1145 (7th Cir. Ill. 1989) To meet Ill. Rev. Stat. ch. 26, para.  § 2-201 s requirements, writing must be sufficient to indicate that a contract to sell goods exists, be signed by the party against whom enforcement is sought, and state a quantity term.A writing can fail to state many of an alleged contract s terms and still satisfy Ill. Rev. Stat. ch. 26, para.  §Read MoreStats Problems1802 Words   |  8 Pages1. The regression analysis at the bottom relates average annual per capita beef consumption (in pounds) and the independent variables annual per capita pork consumption (in pounds) and average annual beef price (in dollars per pound). †¨Ã¢â‚¬ ¨The coefficient for beef price, -12, tells us that: 1. For every $1 increase in beef price, average beef consumption decreases by 12 lbs, not controlling for pork consumption. 2. †¨For every $12 drop in beef price, average beef consumption decreasesRead MoreStats Final1828 Words   |  8 Pages* The Final Exam is worth a possible 250 points. * There are 10 essay questions. Question 1 addresses TCO A and is worth 33 points. Questions 2, 3, and 4 address TCO B and are worth 18 points. Questions 5 and 6 address TCO C and are worth 18 points. Questions 7 and 8 address TCO D and are worth 24 points. Question 9 addresses TCO E and is worth 48 points. Question 10 also addresses TCO E and is worth 31 points. * You will have 3 hours and 30 minutes to take the exam. Keep an eye on the remaining