Statistics as a Managerial Tool
Managing today can require good instincts. However, instinct is not enough to manage the huge amounts of available data and the complex variables of the business world. Statistics can help managers and leaders make sense of these complexities, back-up their assertions, and feel confident about when to take the risks and when to pump the breaks. This intermediate-level course examines statistics as a managerial tool. It also looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action.
Managing today can require good instincts. However, instinct is not enough to manage the huge amounts of available data and the complex variables of the business world. Statistics can help managers and leaders make sense of these complexities, back-up their assertions, and feel confident about when to take the risks and when to pump the breaks. This intermediate-level course examines statistics as a managerial tool. It also looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action.
Managing today can require good instincts. However, instinct is not enough to manage the huge amounts of available data and the complex variables of the business world. Statistics can help managers and leaders make sense of these complexities, back-up their assertions, and feel confident about when to take the risks and when to pump the breaks. This intermediate-level course examines statistics as a managerial tool. It also looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action.
Credits
5 HRCI Credits
5 SHRM PDCs
5 ATD CI Credits
5 PMI PDUs:
1.5 Ways of Working PDUs
1 Power Skills PDUs
2.5 Business Acumen PDUs
Learning Outcomes
Describe how statistics are used in different settings
Describe common problems with, and misuse of, statistics
Identify criteria for evaluating statistics
Explain the key fundamentals of probability and their real-world application
Identify the fundamental concepts of descriptive statistics (populations and samples, measures of central tendency, measures of variability, measures of distribution) and their real-world application
Evaluate data from several different graphical displays of a distribution of a categorical variable (bar chart, pie chart) and of a quantitative variable (histogram, stem plot, box plot)
Explain the fundamental concepts of inferential statistics and their real-world application
Relate the probability of an event to the likelihood of the event occurring
Apply fundamental statistics to a real-world situation
Translate statistical data into a graphical presentation based on a brief case study
Accreditations
Estimated Time to Complete: 5 hours
Access Time: 90 days
Refund Policy
You may request a refund up to 7 days from the purchase date. The registration fee will only be refunded if less than 10% of each course has been completed. Course completion can be viewed from within the course platform.