
Presents the business statistics overview, covering ten topics from data and statistics to simple linear regression and the textbook statistics for business and economics.
learn to collect, analyze, present, and interpret data and statistics, classify data as categorical or quantitative, distinguish cross-sectional and time series data, and apply nominal, ordinal, interval, and ratio scales.
Explore descriptive statistics by analyzing frequency distributions for categorical data and using bar charts and pie charts to reveal patterns. Learn central location measures like mean, median, and mode.
Explore probability as a numerical measure of likelihood, from sample spaces and random experiments to counting rules, combinations, and Bayes theorem.
Explore discrete probability distributions by modeling data with random variables. Distinguish discrete and continuous types, compute mean, variance, and standard deviation, and study the binomial distribution.
Explore continuous probability distributions—uniform, normal, and exponential—and see how a flight time becomes a continuous random variable described by probability density, normal curves, and waiting-time models.
Explore sampling from finite and infinite populations, learn simple random samples, probability sampling, stratified, cluster, systematic, and companion sampling methods, point estimation, and the sampling distribution of x-bar.
Learn interval estimation using point estimators like x-bar and p-bar, compute margin of error, and build 95% confidence intervals to assess how close estimates are to population parameters.
Explore how hypothesis testing uses data to decide whether to reject the null hypothesis in favor of the alternative, including mu and p forms and one- and two-tailed tests.
Explore experimental design and analysis of variance (ANOVA), including completely randomized, randomized block, and factorial designs to test population mean equality and interpret ANOVA tables.
Explore how simple linear regression uses one independent variable to predict a dependent variable, using least squares, estimating the slope and intercept, and interpreting the R-squared coefficient of determination.
Business statistics provides a basic understanding of commonly used statistics to prepare students for more advanced statistics courses. This course emphasizes in understanding basic materials in statistical analysis that are very necessary for students to make decisions from data. Business statistics studies the process of using data from a sample to make estimates and test hypotheses about the characteristics of a population. This course provides a basic understanding of commonly used statistics to prepare students for more advanced statistics courses. This course emphasizes in understanding basic materials in statistical analysis that are very necessary for students to make decisions from data.
The contained materials are introduction about data and statistics, descriptive statistics, introduction to probability, discrete probability distributions, continuous probability distributions, sampling and sampling distributions, interval estimation, hypothesis tests, analysis of variance, and simple linear regression. This course is related to research methodology and thesis.
Learning outcomes after studying business statistics are students will be able to identify the concept of statistics, students to be able to calculate statistical measurements of business and economic problems with the right method and students will be able to construct the suitable decision from statistical method solution. Thus, business statistics can help make evidence-based decisions.