Applied Statistical Methods
Applied Statistical Methods focuses on the
fundamentals of statistics. It is designed to give professionals
the means to efficiently and effectively summarize, analyze
and interpret data.
Course Format
This is a self-paced course that can be started at any time.
You have 365 days to complete this course.
COURSE LENGTH: 32 Hours
CEU'S: 3.2
Learning Outcomes
Upon the completion of this course, you will be able to:
- Show how the type of variable that makes
up a data set determines the level of information contained
in that data set
- Display and summarize data through the
best use of graphs and frequency distributions
- Choose, construct and interpret summarization
procedures for quantitative data, including grouped and
bivariate quantitative data
- Derive and interpret a data set’s
central tendency, variation and standard deviation
- Apply exploratory data analysis techniques
to a data set
- Use classical probability and the relative
frequency concept of probability to calculate the probability
of events
- Calculate the probability of both mutually
exclusive and non-mutually exclusive events, successive
and simultaneous events and repeated trials
- Find the mean, variance and standard
deviation of a binomial distribution, use it to determine
probabilities and see how it may be approximated using the
Poisson distribution
- Find the mean, variance and standard
deviation of a normal distribution and use it to calculate
probabilities
- Determine how best to test a hypothesis
and ascribe confidence levels to your conclusions
Seminar Fee: $815
Each participant will receive a Certificate of Completion upon
successful completion of the seminar.
Related Courses
Applied Statistical Methods Executive Overview
|
