Description:
Good decisions and recommendations are often the result of proper analysis. This intermediate statistics course builds on the material in the introductory statistics course by covering inferential statistical concepts for quantitative and categorical data. The emphasis on understanding is continued throughout this course. Examples, practice exercises and discussions are used to help participants understand and relate the concepts to practical scenarios.Duration:
2 days
Level:
AdvancedWho Should Attend?
It is important to complete the Descriptive Statistics for Data Analysis (PGMT8200A) before registering for this course. Individuals and analysts needing to understand and/or perform statistical calculations and interpretations in their professional work Decision makers and critical thinkers who analyze information and evaluate options to make decisions and recommendations Individuals and analysts seeking a statistics refresherCredits:
1.2 CEU'sLearning Outcomes:
Describe statistical sampling and draw a random sample with an acceptable minimal sample size
Determine statistical significance and test hypotheses for means and proportions
Calculate the chi square value for frequency data
Compare two sample means and two sample proportions
Construct a scatter diagram and compute a correlation coefficient
Calculate a regression equation and use it to predict a dependent variable
No sessions scheduled
Other Recommended Courses:
- Tools for Management Analysis (PGMT7006)
