Standards - Career & Technical Education

Incorporate safety procedures in handling, operating, and maintaining tools and machinery; handling materials; utilizing personal protective equipment; maintaining a safe work area; and handling hazardous materials and forces.

Demonstrate effective workplace and employability skills, including communication, awareness of diversity, positive work ethic, problem-solving, time management, and teamwork.

Explore the range of careers available in the field and investigate their educational requirements, and demonstrate job-seeking skills including resume-writing and interviewing.

Advocate and practice safe, legal, responsible, and ethical use of information and technology tools specific to the industry pathway.

Participate in a Career and Technical Student Organization (CTSO) to increase knowledge and skills and to enhance leadership and teamwork.

Discuss and demonstrate ways to value diversity.

Summarize and evaluate how statistics are used in business areas.

List the advantages of using statistics to make financial business decisions.

Describe the use of technology in the management of finance.

Explain the variation of data using range, sample variance, sample standard deviation, coefficient of the variation, and Z score.

Demonstrate and explain the measure of shape of the data set using skewness, symmetry, and kurtosis.

Use functions and formulas available in statistical analysis software to process and analyze data.

Discuss strategies for selecting appropriate technology tools to solve problems.

Use a problem-solving model to analyze data, formulate a plan or strategy, determine a solution, justify the solution, and evaluate the problem-solving process.

Explain the meaning, uses, and importance of data visualization.

Explain how photographs, words, numbers, and sounds can be interpreted as data, giving examples from real-world situations.

Explain the four main types of analytics and how these work together to provide information about all facets of a company’s operations.

Describe how financial and statistical data are used in professional and personal lives.

Analyze data presented in graphic form, including histograms, scatter plots, heat maps, and box plots, to identify patterns in data and make predictions.

Interpret data presented in various data visualization models.

Describe how models highlight various aspects of data.

Use statistical analysis software to analyze transactional data.

Develop a plan for using transactional data to develop customer intelligence.

Use statistics appropriate to the shape of the data distribution to compare the center (median, mean) of two or more different data sets used in business.

Identify and use patterns in data values or range of data values to improve a business process.

Explain how categorical data may be used in decision-making in a service business to improve efficiency and profit.

Interpret relative frequencies in the context of the data.

Identify data on two quantitative variables on a scatter plot, and describe how the variables are related.

Describe how statistics are used to analyze and understand various business and economic problems and to formulate policies for economic growth .

Use diagrams, tables, organized lists, and area models to compute sales probability during peak season for a retail business.

Analyze concepts of probability associated with financial planning.

Describe how technology impacts all aspects of finance, from customer experience and operational efficiency to big data and analytics.

Apply problem-solving models and statistics to develop a business plan.

Gather and share information on the ethical and responsible use of statistical data in business.

Research career opportunities that require strong analytical skills.