November, 2019

In the course, you will learn how to easily and effectivelyanalyze and interpret data involving introductory statistics. The following topics are covered in this course:

Scales of measurement - nominal, ordinal, interval, ratio.

• Goal/Learning Objective: Easily understand the often-confused scales of measurement covered in most statistics texts.

Central Tendency - mean, median, and mode are illustrated alongwith practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean.

• Goals/Learning Objectives:Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand andinterpret how to find the overall or combined mean for two different sets of data.

Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language.

• Goals/Learning Objectives:Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile).

Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated.

• Goals/Learning Objectives:Learn how to easily organize, summarize, understand, and explain a set ofnumbers.

Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores

• Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.

Bonus Features: Cement understanding with practice opportunities includingseveral quizzes with completevideo coverage of the solutions.

Update:New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.)