Statistics for Business is an introduction to a range of statistical techniques used by managers. Course content will be applied to the real world, including demonstrations in accounting, auditing, economics, finance, financial planning, human resource management, information technology, logistics, transportation, and marketing.
Chapter 1: Conduct business statistics for the first time. It is necessary to understand the main data and auxiliary data of some content, among which some numerical representative words contained in the measurement level of statistical concepts are the key.
Chapter Two: Measurement Contents of Central Tendency and Variability. You will learn the Mean-Median-Mode relationship and how to use it reasonably, and calculate the central tendency of the data string, the frequency table is not grouped, and the frequency table is group, you need to understand some technical terms: "central tendency, mean, mean, median, normal, Normal, Skew, Normal, Negative, Midpoint, Nearest, Farthest, Approximate".
Chapter 3: Probability of a Single Event - Venn Diagram. The probabilities of more than one event are mutually exclusive events: the praise of one thing is an independent event, technical terms to know: "probability, union, conditional, Venn diagram, intersection, marginal, marginal probability, association, joint probability complementary, mutually exclusive, independent events."
Chapter 4: Continuous distribution of business statistics. Key concepts Distinguish between discrete random variables and continuous random variables, calculate proportions under uniform and continuous distributions, distinguish properties of normal distribution curves, calculate relative proportion curves under methods English terms used in this section, probability, normal, normal distribution, continuous, continuous distribution, random variable, standard, standardized, standardized variable, proportion, symmetry, exponent, percentile. Understand the concept of uniform distribution, understand the importance of the normal distribution, be able to identify problems involving the normal distribution and be able to solve such problems. Ability to use equations to solve problems, understand how to solve such problems and decide when to use exponential distribution to solve problems in business, solve such problems.
After completing the first four chapters, there will be a test. The name of the exam is "Also refer to Syllabus" and the score counts for 10%. The test will be limited to 45 minutes and covers the material studied in Chapters 1-4.
Chapter 5: Sampling. The central limit theorem of the sampling distribution, dealing with small sample size, T distribution, using the mean and proportion interval estimation of sample distribution to calculate the confidence interval, including some sampling, acceptance, confidence, confidence, interval, standard error, sampling error, sample size, Significance, significance level, random sample, population parameter.
Chapter 6 Hypothesis Testing in Business Statistics, Introduction to Single population hypothesis Testing, Hypothesis testing This is a formal form of statistical thinking, developed in the 1930s as a standard for scientific research, formulating hypotheses and statistical models Collecting data and computing sample statistics Computing Probability, take this sample value or more extreme values and make a decision according to the rule.
Chapter 7: Hypothesis Testing in Business Statistics, Introduction to One Population Hypothesis Testing, Scatterplots Showing Relationships Between Two Numerical Variables Correlation Coefficients - Measuring Linear Relationships in the Context of Correlation Data Interpretation, testing the null hypothesis that the overall correlation is zero for a sample from a normal population.
Assessment 2 is divided into two parts: A and B. Part A is a group assignment and requires two people to work together. The content of part A is a blank EXCEL table, which requires some data collection and preliminary data analysis. Assignment A is worth 30% and Assignment B is worth 10%.
Chapter 8: Multiple Regression. Understand and apply regression models and their coefficient significance tests to calculate and interpret residuals, estimated standard errors, and coefficients of determination to interpret computer output from multiple regression analyses. Multiple regression analysis is similar in principle to simple regression analysis. However, it is conceptually and computationally more complex.
Chapter 9: Business Statistics and Time Series. Forecast business statistics, identify the four possible components of time series data, learn how to use time series smoothing methods for moving averages, and trend analysis to evaluate different forecasting models by calculating forecast errors.
Assessment 3: final exam, the exam time is 2 hours, 50% of the exam time.
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