...graduate from York University (“YorkU”) to analyze how much chlorine is needed. It is believed that the speed at which chlorine is depleted is dependent on the temperature (degrees Fahrenheit) of the water (higher temperatures use chlorine faster); pH level, which is a measure of the acidity of the water (pH ranges from 0 to 14, where 0 is very acidic and 14 is very alkaline; levels around 7.5 use the least chlorine); and weather (sunshine uses up chlorine). The YorkU graduate recorded the percentage of chlorine depletion during 8-hour days, water temperature, pH level and weather condition (mainly cloudy, sunny and partly sunny). Using Excel’s Regression Tool, the YorkU graduate obtained the following Excel output. Regression Statistics Multiple R A R Square B Adjusted R Square C Standard Error D Observations 210 ANOVA df SS MS F Significance F Regression E 6596 I 77.00 0.0000 Residual F H J Total G 10091 Coefficients Standard Error Intercept 1003 55.12 18.19 0.0000 Temperature 0.194 0.029 K 0.0000 PH Level -265.6 14.75 -18.01 0.0000 PH Level-Sq 17.76 0.983 18.07 0.0000 Mainly Cloudy -1.07 0.700 -1.53 0.1282 Sunny 1.16 0.700 1.65 0.0997 t Stat P-Value 1. Clearly define the independent variables being considered. 2. Specify the multiple regression model using all independent variables...
Words: 723 - Pages: 3
...MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER To purchase this visit following link: https://coursehomework.com/product/mat-300-statistics-aleks-midterm-latest-strayer/ Contact us at: HELP@COURSEHOMEWORK.COM MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER MATH 300 Aleks Midterm Exam Strayer Course Home Work aims to provide quality study notes and tutorials to the students of MAT 300 Statistics Aleks Midterm Latest Strayer in order to ace their studies. MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER To purchase this visit following link: https://coursehomework.com/product/mat-300-statistics-aleks-midterm-latest-strayer/ Contact us at: HELP@COURSEHOMEWORK.COM MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER MATH 300 Aleks Midterm Exam Strayer Course Home Work aims to provide quality study notes and tutorials to the students of MAT 300 Statistics Aleks Midterm Latest Strayer in order to ace their studies. MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER To purchase this visit following link: https://coursehomework.com/product/mat-300-statistics-aleks-midterm-latest-strayer/ Contact us at: HELP@COURSEHOMEWORK.COM MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER MATH 300 Aleks Midterm Exam Strayer Course Home Work aims to provide quality study notes and tutorials to the students of MAT 300 Statistics Aleks Midterm Latest Strayer in order to ace their studies. MAT 300 STATISTICS ALEKS MIDTERM LATEST STRAYER To purchase this visit following link: https://coursehomework...
Words: 569 - Pages: 3
...Introduction to Multiple Regression Dale E. Berger Claremont Graduate University http://wise.cgu.edu Overview Multiple regression is a flexible method of data analysis that may be appropriate whenever a quantitative variable (the dependent or criterion variable) is to be examined in relationship to any other factors (expressed as independent or predictor variables). Relationships may be nonlinear, independent variables may be quantitative or qualitative, and one can examine the effects of a single variable or multiple variables with or without the effects of other variables taken into account (Cohen, Cohen, West, & Aiken, 2003). Multiple Regression Models and Significance Tests Many practical questions involve the relationship between a dependent or criterion variable of interest (call it Y) and a set of k independent variables or potential predictor variables (call them X1, X2, X3,..., Xk), where the scores on all variables are measured for N cases. For example, you might be interested in predicting performance on a job (Y) using information on years of experience (X1), performance in a training program (X2), and performance on an aptitude test (X3). A multiple regression equation for predicting Y can be expressed a follows: (1) [pic] To apply the equation, each Xj score for an individual case is multiplied by the corresponding Bj value, the products are added together, and the constant A is added to the...
Words: 1415 - Pages: 6
...Introduction to Multiple Regression Dale E. Berger Claremont Graduate University http://wise.cgu.edu Overview Multiple regression is a flexible method of data analysis that may be appropriate whenever a quantitative variable (the dependent or criterion variable) is to be examined in relationship to any other factors (expressed as independent or predictor variables). Relationships may be nonlinear, independent variables may be quantitative or qualitative, and one can examine the effects of a single variable or multiple variables with or without the effects of other variables taken into account (Cohen, Cohen, West, & Aiken, 2003). Multiple Regression Models and Significance Tests Many practical questions involve the relationship between a dependent or criterion variable of interest (call it Y) and a set of k independent variables or potential predictor variables (call them X1, X2, X3,..., Xk), where the scores on all variables are measured for N cases. For example, you might be interested in predicting performance on a job (Y) using information on years of experience (X1), performance in a training program (X2), and performance on an aptitude test (X3). A multiple regression equation for predicting Y can be expressed a follows: (1) [pic] To apply the equation, each Xj score for an individual case is multiplied by the corresponding Bj value, the products are added together, and the constant A is added to the sum. The...
Words: 1414 - Pages: 6
...NORTHEASTERN UNIVERSITY - GRADUATE SCHOOL OF BUSINESS ADMINISTRATION MGSC 6200: DATA ANALYSIS Spring, 2015 Instructor Information Name: Dr. Nizar Zaarour E-mail address: n.zaarour@neu.edu Office: 214 Hayden Hall Office hours: Monday and Wednesday: 12 – 2 PM and by appointment. Course Overview The objectives of this course are: (1) To provide you with an understanding of statistical methods and techniques and their usefulness in the decision-making process, (2) To expose you to the methods of descriptive and inferential statistics and how can be used to solve business problems, (3) To improve upon your data analysis and computer skills, (4) To help you develop the skills to recognize the appropriate statistical tool to analyze business problems, and (5) To provide you with the necessary tools for critical evaluation, correct interpretation, and presentation of the results of statistical analyses. Textbook and Software 1) Business Statistics: For Contemporary Decision Making, 7th Edition, by Ken Black, (Wiley). 2) Microsoft Excel. Course Organization The course web page is located in the Blackboard system at http://blackboard.neu.edu. Course materials and announcements will be posted on the course site. A Blackboard tutorial is available at http://www.discoveringblackboard.neu.edu. The textbook is quite easy to read and covers a lot of ground. However, some of the topics are not covered in depth. Class discussions, handouts, and my lecture notes will fill these gaps. Course...
Words: 1018 - Pages: 5
...t-stat may be due to omitted variable or multicollinearity. Q2. Using the intuition from simple case of omitted variable: (a) y = apple consumption, x1 = price of banana, x2 = price of orange yt = 0 + 1 x1,t + 2 x2,t + ut If we leave out x2, bias on β1 depends on (1) whether x1 and x2 are correlated in the sample which mostly likely is positive (e.g. inflation), and whether price of orange has positive or negative effect on the annual consumption of apple in the population (sign of 2) which should be positive too (law of demand). Bias is (+) (+) = (+) (b) y = student grades on the midterm, x1 = hours studies for the midterm x2 = hours slept before the midterm If we leave out x2, bias on β1 depends on (1) whether x1 and x2 are correlated in the sample which mostly likely is negative, and (2) whether hours slept before the midterm has positive or negative effect on the midterm grade in...
Words: 734 - Pages: 3
...Stat 141 R1 - Lecture #35 Announcements: 1) Assignment #11 Question 5: The answer is wrong … should be “fail to reject” but MyStatLab wants “reject”... so give the wrong answer for full marks in this question 2) Exam: STAT 141 R1 3 hrs 1400 Wed Apr 17 MAIN GYM, ~45 Multiple Choice Questions Chapters 7, 8, 18-28 …. some pre MT skills will be required. Simple Linear Regression …. continued Last time: Ex) Predicting final exam marks (%) from midterm exam marks (%) in a class of 88 students: Student | #1 | #2 | … | #88 | Midterm mark | 67% | 72% | … | 88% | Final mark | 62% | 50% | … | 91% | Stat 141 R1 - Lecture #35 page 2 Given x = midterm percentage, y = final percentage, n=88, x = 67.812, y = 52.643, sx = 17.922, sy = 25.430, r = 0.718 ∑(yi–ŷi)2 = 27278.82 We had calculated: The slope and intercept of the sample line of best fit: * sample line of best fit: y= -16.443 + 1.019 x An estimate for σ (standard deviation about the population line): se Given SSE = ∑(yi–ŷi)2 = 27278.82 : se2=SSEn-2=27278.8288-2=317.196 →σ≈se=317.196=17.810 Stat 141 R1 - Lecture #35 page 3 Inference for the population slope β1 When the 4 basic assumptions of the SLR model are satisfied: o The relationship between x and y is sufficiently linear. Presuming linearity, this means, at any x, με = 0. o The std. dev. of ε is the same for any particular x (constant). o The...
Words: 691 - Pages: 3
...COURSE INFORMATION Class Days: Friday Class Times: 1:00 to 3:40 PM Class Location: EBA 345 Blackboard: blackboard.sdsu.edu Office Hours Times (and by appointment): TH 3:30 – 5:00 F 3:45 – 5:00 Office Hours Location: EBA 322 Units: 3 Course Overview Statistical methods applied to business decision making. (Formerly numbered Information and Decision Systems 301.) The objective of this course is for students to achieve an understanding of fundamental statistical techniques and how they are applied to decision making and the scientific method. Greater emphasis is placed on the application and interpretation, as opposed to the mathematical derivation, of the techniques covered. The content of this course is essential for any student pursuing an undergraduate business major and any person involved in organizational decision making. This course is intended to help satisfy the Association to Advance Collegiate Schools of Business (AACSB) curriculum criterion for management specific knowledge in the area of “Statistical data analysis and management science as they support decision-making processes throughout an organization.” Student Learning Outcomes BSBA students will graduate being: • Effective Communicators • Critical Thinkers • Able to Analyze Ethical Problems • Global in their perspective • Knowledgeable about the essentials...
Words: 1837 - Pages: 8
...[pic] ISOM 491, Section 001 - Managerial Statistics Fall Quarter 2013, Monday 6:00 – 9:00 PM, Maguire Hall Room 330 Quinlan School of Business Policies: Class by Class/Week by Week Course Outline for ISOM 491 Tentative Course Outline: First Class (August 26, 2013) Chapter Topic Session (Week) 1 Introduction 1 Ethical Guidelines for Statistical Practice American Statistical Association (Handout) 2 Summarizing Data 1 3 Describing Data - Numerically…… 2 4 Describing Data – Exploring…….. 2 (Introduce concept of Stable Model) 5. Survey of probability ………… 3 (Emphasis - cross tabbing, (Omit Bayes' Theorem, i.e., Contingency Tables) pp 167-171) 6 Discrete Probability Distributions 3 (Emphasis Binomial) (Omit hypergeometric and poisson sections, pp 204-212) 7 Continuous Probability Distributions...
Words: 1377 - Pages: 6
...LOG OM 5300 Statistical Analysis for Business Decisions Syllabus Spring 2013 Section G01 (11477): T 1855-2135, 132 SSB Instructor: Dr. Alan C. Wheeler Office: ESH 230, 516-6136, awheel@umsl.edu Office hours: MW 1230-1330; T 1400-1500, 1745-1845; or by appointment Text: Statistics for Business and Economics, revised 11th edition, by David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams, South-Western Calculator: hand-held with keys for natural logarithm, mean, and standard deviation Course Description: The role of statistical evidence in the formation of inference and in the selection of strategies in solving business problems is developed. Probability and probability distributions are studied as a basis of statistical inference. An introduction to multivariate analysis is provided, which includes analysis of variance and regression methods. Specifically, the course covers in order most of the material in the following chapters of the text: Chapter Topic 1 Data and Statistics 2 Descriptive Statistics: Tabular and Graphical Presentations 3 Descriptive Statistics: Numerical Measures 4 Introduction to Probability 5 Discrete Probability Distributions 6 Continuous Probability Distributions 7 Sampling and Sampling Distributions 8 Interval Estimation 9 Hypothesis Tests 10 Statistical Inference About Means and Proportions With Two Populations 11 Inferences About Population Variances 12 Tests of Goodness of Fit...
Words: 1439 - Pages: 6
...MATH201 - Assignment 1 1. Conde Nast Traveler magazine conducts an annual survey of subscribers in order to determine the best places to stay throughout the world. Table 1.6 shows a sample of nine European hotels (Cond Nast Traveler, January 2000). The price of a standard double room during the hotels high season ranges from $ (lowest price) to $$$$ (highest price). The overall score includes subscribers evaluations of each hotels rooms, service, restaurants, location/atmosphere, and public areas; a higher overall score corresponds to a higher level of satisfaction. (a) How many elements are in this data set? (b) How many variables are in this data set? (c) Which variables are qualitative and which variables are quantitative? (d) What type of measurement scale is used for each of the variables? 2. Refer to Table 1.6. (a) What is the average number of rooms for the nine hotels? (b) Compute the average overall score. (c) What is the percentage of hotels located in England? (d) What is the percentage of hotels with a room rate of $$? 3. All-in-one sound systems, called minisystems, typically include an AM/FM tuner, a dual- cassette tape deck, and a CD changer in a book-sized box with two separate speakers. The data in Table 1.7 show the retail price, sound quality, CD capacity, FM tuning sensitivity and selectivity, and the number of tape decks for a sample of 10 minisystems (Consumer Reports Buying Guide 2002). (a) How many elements does this data set contain? (b) What is the population...
Words: 971 - Pages: 4
... this unit provides opportunities for students to deal with situations involving probability, descriptive and inferential statistics, regression analysis and other basic mathematical tools used by business analysts at their workplaces, it intends to further expand student’s ability and interest into the area of economic research. Though the unit may seem mathematical at first there are certain characteristics that distinguish it from any mathematics unit. The unit provides students with the necessary tools to interpret results rationally. Finally, it provides the basis for a unit in econometrics at the higher level. The student shall be able to: • • • • • • • • • • • Differentiate the two general bodies of methods that together constitute the subject called statistics: descriptive and inferential statistics Understand the usage of graphical descriptive methods to summarise and describe sets of data understand the usage of numerical descriptive measures to summarise and describe sets of data Manage the data collection and sampling process Understand the basic concepts behind the rules and techniques of probability Acquire knowledge on the characteristics of probability distributions including binomial and other discrete probability distributions. Understand the importance of normal distribution and its practical usage. Link numerical descriptive statistics and probability distributions to statistical inference Understand the relevance of estimating population parameters and how...
Words: 519 - Pages: 3
...MAT 300 – Assignments and Rubrics ALEKS Pie Completion Worth 400 points The primary goal of this class is for you to complete the entire pie by the end of the term. Points for pie completion will be added to your score at the end of the term. ALEKS Emphasis on Lab Work. On-ground sections of the course will be taught in a computer lab, with three (3) hours of lab time using ALEKS for every one (1) hour of traditional instruction. Thus, students in an onground section of the course will log about three (3) of the required five (5) weekly hours in ALEKS during class. To get full credit for the ALEKS participation points, on-ground students will have to put in two (2) additional hours using ALEKS outside of class. Online students will also utilize ALEKS in the same or similar manner. All students will start the term by taking a comprehensive ALEKS assessment to identify where they need to focus their efforts. As you master each assigned topic, your progress will be plotted on a pie chart. Your goal will be to fill in the entire pie. Forty (40) percent of your final grade will be based on how much of the pie you fill in. Weekly Lab Requirement. Students are expected to spend at least five (5) hours per week working with ALEKS. The instructor will be able to see how much time you’ve spent in ALEKS and what topics you’ve worked on. Weekly ALEKS time will count toward 10% of your final grade. If you work in ALEKS for five (5) or more hours, you will earn ten (10) points. If you...
Words: 3090 - Pages: 13
... c. Tells the value of the sample mean d. None of the above 3. The level of significance a. Is frequently .05 or .01 b. Can be any value between 0 and 1 c. Is the likelihood of rejecting the null hypothesis when it is true d. All of the above 4. A tType I error is a. The correct decision. b. A value determined from the test statistic. c. Rejecting the null hypothesis when it is true. d. Accepting the null hypothesis when it is false. 5. The critical value is a. Is cCalculated from sample information. b. Cannot be negative. c. Is tThe point that divides the acceptance region from the rejection region. d. Is aA value determined from the test statistic. 6. In a one-tailed test a. The rejection region is in only one of the tails. b. The rejection region is split between the tails. c. The p-value is always less than the significance level. d. The p-value is always more than the significance level. 7. To conduct a one sample test of means and use the z distribution as the test statistic a. We need to know the population mean. b. We need to know the population standard deviation. c. We need n[pic] to be less than 5. d. Both a and b are correct. 8. A p-value is a. The same as the population proportion b. The same as the significance level c. The fraction of the population that has a particular characteristic ...
Words: 453 - Pages: 2
...conducted. A Gallop poll surveyed 1,018 adults by telephone, and 22% of them reported that they smoked cigarettes within the past week. Answer: An observational study because the sample population that was studied was not influenced by the researcher themselves, & it involved research in work to do. 3. In the following scenario what is the statistic and the parameter it would estimate. A recent study of 460 drivers age 70 and over by the National Highway Traffic Safety Administration reported that 75% of those drivers had uncorrected vision problems. Answer: The report of the ‘traffic safety administration’ reported that 75% (345 people) was the reported statistic from the 460 drivers of 70 or older drivers. I feel the assumed parameter would be the population of drivers that had uncorrected vision that were 70 years old or older. 4. What type of sampling procedure was used to collect the data in the MM207 Student Data Set? Answer: The sampling procedure used, believe was the ‘Conveyance’ sampling because this was a population which was readily available. STATISTICS, MM207, ‘Midterm Project’ Andre Bergman, 4-20-2014 Page, 2 of 3 5. From the MM207 Student Data Set identify one...
Words: 733 - Pages: 3
