Introductory Statistics - Combo (Basic, Intermediate, Advanced) Course
Course Details:
Length: 3 days
Price: $1,225/person (USD)
Savings: $140/person (USD)
Group Price: Request Quote
Course Features:
Live Instructor Teaching
Certificate of Completion
Courseware: N/A
Free 6 Month Online Retake
Hands-On Learning?: Yes
Software Lab Included?: Yes
Delivery Methods:
Live Online
Individuals and Groups
@ Your Location
Onsite for Teams
Group Teams
@ Your Organization
This is an instructor-led course. It is taught by an instructor live online or at organizations for groups.
For team training, we can teach onsite at your office or private live online.
For team training, we can teach onsite at your office or private live online.
Course Overview
Enroll in all 3 Levels of our instructor-led Introductory Statistics classes and save $140. This course package includes:
- Introductory Statistics - Basic
- Introductory Statistics - Intermediate
- Introductory Statistics - Advanced
Register Early: Registration Deadline is 2 Weeks Prior to Class Start.
Course Notes
Course Combo Refund Policy: Once payment is received, there are no refunds on instructor-led course bundles, due to a discount being given. However, you may reschedule any of the included classes if needed.
Knowledge Prerequisites
• Basic Excel Knowledge
Course Topics
Introductory Statistics - Basic (Day 1)
Design of ExperimentsThis class will include topics that will enable the user to learn the uses and abuses of statistics as well as learn the different methods of sampling and how to set up a proper study design before collection of data to ensure minimization of potential biases. Topics include:
Uses and Abuses of Statistics
The Nature of Data
Sampling Techniques
Types of Errors
Setting up Appropriate Studies
Summarizing Data Numerically and Graphically
The focus of this topic is to find different ways to summarize the data that is collected in the most common ways, both in a graphical sense and numerical sense, including measures of central tendency and variability. Topics include:
Frequency Tables
Measures of Center
Measures of Variability
Scatter Plots
Bar Charts
Pareto Charts
Pie Charts
Choosing the best chart and measures of center
Introductory Statistics - Intermediate (Day 2)
ProbabilityProbability is the key to understanding statistics. With this topic, students will gain a fundamental knowledge of the rules of probability and counting in order to understand more advanced topics in statistics. Topics that will be covered:
Basic probability rules
The additive and multiplicative rule of probability
Counting
Random variables
Expected values
Binomial Distribution
Sampling Distributions
Sampling Distributions bridge the gap between basic descriptive statistics and inferential statistics. Understanding these distributions is key in order to understand and be able to conduct advanced statistical inference.
The Normal Distribution
The Central Limit Theorem
Approximating the Binomial Distribution
Point Estimation
Basics of Confidence Intervals
Introductory Statistics - Advanced (Day 3)
Fundamentals of Hypothesis Testing Part IOne of the biggest uses of statistics is to conduct inferential statistics, or drawing conclusions of a population from a sample. Setting up the test is key in drawing up relevant conclusions.
The null and alternative hypotheses
Types of errors
Hypothesis test for a mean with a large sample
Hypothesis test for a mean with a small sample
Hypothesis test for a proportion
Fundamentals of Hypothesis Testing Part II
A continuation of Part I, but emphasis will be placed on two or more samples when drawing inferences.
Hypothesis test for two means – independent samples
Hypothesis test for two means – dependent samples
Hypothesis test for two proportions
One way Analysis of Variance
Fundamentals of Hypothesis Testing Part III
A continuation of hypothesis testing, looking at inferring based on count data as well as looking at possible correlational relationship and predictive powers of statistics.
Chi-Square test of goodness of fit
Chi-Square test of independence
Correlation
Introduction to Regression
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