Reference no: EM133066770
BUSI 3311 Business Statistics - Texas A&M University
Course Objective 1: The student will understand the foundations of statistics, by creating and interpreting basic statistical graphs and charts, calculating and interpreting measures of central tendency and variation, and basic probability, (Module 1), probability distributions (Module 2), and conducting and interpreting hypothesis tests (Module 3).
Course Objective 2: The student will be able to apply the statistical foundations in beginning inferential statistics, which include comparing two populations or more populations, comparing two population proportions, comparing two variables or treatments for a single population, and relating two variables. Finally, the student will understand the concepts of statistical applications to process improvement by creating and interpreting control charts. (Modules 3 and 4).
Course Objective 3: The student will apply statistical analysis to the phases of decision-making and make recommendations based on given scenarios
Module 1: Review and apply the six steps of decision making. Conduct and apply the statistical foundations (data, populations, samples, central tendency, measures of variation, and basic probability concepts), using statistical learning software and Microsoft Excel, achieving 80% on each homework assignment and exam. Additionally, apply the learned foundations in a scenario-based discussion question, and make recommendations based on the phases of decision-making learned in Principles of Management.
Module 2: Conduct and interpret statistical methods for discrete and continuous probability distributions, sampling distributions, and estimating means and proportions, using statistical learning software and Microsoft Excel, achieving 80% on each homework assignment and exam. Additionally, apply the learned foundations in a scenario-based discussion question, and make recommendations based on the phases of decision-making learned in Principles of Management.
Module 3: Conduct and interpret statistical methods of hypothesis testing for comparing means, proportions, and treatments, using statistical learning software and Microsoft Excel, achieving 80% on each homework assignment and exam. Additionally, apply the learned foundations in a scenario-based discussion question, and make recommendations based on the phases of decision-making learned in Principles of Management.
Module 4: Conduct and interpret statistical methods of hypothesis testing for comparing three or more means, or treatments (ANOVA). Conduct correlations of two variables or treatments, relate two or more linear variables, and relate two categorical variables. Achieve 80% on each homework assignment and exam, using statistical learning software and Microsoft Excel. Additionally, apply the learned foundations in a scenario-based discussion question, and make recommendations based on the phases of decision-making learned in Principles of Management.
Learning Outcome 1: Demonstrate proficiency in reporting data numerically and graphically by achieving 80% on associated assignments
Learning Outcome 2: Demonstrate proficiency in identifying and analyzing the following types and levels of data using appropriate statistical methods by achieving 80% on associated assignments (Chapters 1 - 2).
a. Identify and analyze qualitative (nominal, ordinal) data using appropriate statistical methods.
b. Identify and analyze quantitative (continuous, discrete, interval, ratio) data using appropriate statistical methods.
Learning Outcome 3: Demonstrate proficiency in calculating the following descriptive statistics by achieving 80% on associated assignments (Chapter 4).
a. Identify and calculate descriptive statistics based on measures of central tendency.
b. Identify and calculate descriptive statistics based on measures of variation.
Learning Outcome 4: Demonstrate proficiency in analyzing discrete and continuous probability distributions by achieving 80% on associated assignments (Chapters 4, 6 - 8, 15).
a. Use the properties of probabilities to calculate probabilities by using the concepts of probability, specifically: complements, addition rules, mutual exclusivity, multiplication of dependent and independent probabilities, and conditional probabilities.
b. Calculate probabilities within binomial and Poisson distributions, normal distributions, F- distributions, and chi-square distributions.
c. Calculate probabilities using the Empirical Formula and the Central Limit theorem.
Learning Outcome 5: Demonstrate understanding and proficiency in calculating confidence intervals, conducting hypothesis tests, and calculating p-values by achieving 80% on associated assignments (Chapters 9 - 10).
a. Calculate confidence intervals when the population standard deviation is known/unknown and for proportions.
b. Conduct hypothesis testing when the population standard deviation is known/unknown and for proportions.
c. Calculate p-values for all hypothesis tests.
Learning Outcome 6: Demonstrate proficiency in calculating inferential statistics (one or two populations) by achieving 80% on associated assignments (Chapter 11).
a. Compare means or proportions of two populations.
b. Compare means of two treatments within one population.
Learning Outcome 7: Demonstrate proficiency in calculating inferential statistics (three or more populations and relationships) by achieving 80% on associated assignments (Chapters 12 - 14).
a. Compare means of three or more populations using analysis of variance (ANOVA).
b. Correlate two variables or treatments using Pearson's Product Correlation.
c. Relate two variables or treatments using simple linear regression.
d. Relate two or more predictor variables to a linear response variable using multiple regression.
Learning Outcome 8: Demonstrate proficiency in calculating inferential statistics (relationships of categorical variables) by achieving 80% on associated assignments (Chapter 15).
a. Test the relationship of two or more categorical variables (tests of independence).
Learning Outcome 9: Demonstrate proficiency in creating and analyzing statistical process control charts for both continuous and qualitative variables by achieving 80% on associated assignments and exams (Chapter 17).
a. Create and analyze mean and range process control charts (x-barR charts).
b. Create and analyze mean and range process control charts (p-charts).
Learning Outcome 10: Demonstrate proficiency in analyzing situations and applying statistical methods to make sound decisions.
a. Describe the Phases of Decision Making and apply the Phases in an experiential exercise.
b. At the end of each module, apply the required Phases of Decision Making in each given scenario, and make recommendations based on the information given in those scenarios.
Attachment:- Business Statistics.rar