课程 Syllabi

秋季 2020

弹簧 2020

夏季 2020
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The course presents quantitative decisionmaking techniques applying principles of probability and statistical analysis to managerial decisionmaking. The course places emphasis on conceptual understanding rather than mathematical proofs.
PREREQUISITE: Six semester hours of mathematics.
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN:
 Distinguishing between independent and dependent variables.
 Defining and applying the idea of a random variable.
 Differentiating between discrete and continuous random variables.
 Identifying random sampling techniques and describing the importance of sampling distributions.
 Defining, describing, and giving examples of descriptive and inferential statistics.
 Communicating important information contained in a set of data by means of graphs and frequency distributions.
 Calculating and describing characteristics of the common measures of central tendency: mean, median, and mode.
 Defining the sum of the squares and square of sum concepts.
 Calculating the variance and standard deviation for a population and for a sample.
 Calculating a standard score and determining percentages under the normal curve.
 Determining the general properties of probability, binomial, and normal distributions.
 Explaining the rules governing probability concepts.
 Identifying and differentiating between null hypotheses and alternative hypotheses.
 Describing what is meant by the level of significance and the region of rejection.
 Differentiating between onetailed and twotailed tests for hypotheses.
 Describing the general procedures for testing statistical hypotheses including the definition of sampling error, the differentiation of Type I and Type II errors, and the use of the Z and T distributions.
 Explaining the central limit theorem and the concept of degrees of freedom and discussing their importance in statistical inference.
课程 Syllabi
 BUS3104.E1 Statistical Analysis I
 BUS3104.E1 Statistical Analysis I
 BUS3104.E1 Statistical Analysis I