• Statistical procedures used to summarize, organize, and simplify data.
  
• Population: An entire collection of data.
  
• Scores : Each collection of data
  
• Total scores: N is the total number of scores of population
  
• Sample: A subset of population.
  
• Random: Chosen in a way to allow each member of the population an equal chance of being selected.
  
• Response Rate: The proportion of people who respond to a survey.
  
• Statistics Study Tips:
  1. Think statistically and try to apply in day to day life.
  2. Setting up each segments of the problem.
  3. Rather than memorize the formula, think about how to derive the formula and identify its parts.
  4. Try step by step approach.
  5. Draw a diagram if needed. 
  6. Identify all given information.
  7. Select appropriate formula(s) that incorporate what you know and what you want to find.
• Measures of Central tendency are measures of the location of the middle or the center of a distribution- (Mean, Median, Mode, Mid-range).
  
• Measures of Variability describes in an exact quantitative measure, how spread out/clustered together the scores are-(Range, Variance, Standard deviation).

The purpose and scope of introductory statistics is discussed in this tutorial with the introduction of relations and their usage. After finishing this course, you will be able to understand what is data and the relationships among the data, how to generate data, the random behavior of the data, and the statistical inference techniques with some topics in inference.

This tutorial gives an overview of what to look forward to in this course. It also summarizes the most important units and principles in this introductory statistics course. It is a strong tool to use for anyone who is unfamiliar or is learning introductory statistics for the very first time.

Specific Tutorial Features:

• Understanding Data
  
• Understanding Relationships
  
• Generating Data
  
• Random Behavior
  
• Statistical Inference
  
• Topics in Inference

Series Features:

• Concept map showing inter-connections of concepts introduced.
  
• Definition slides introduce terms as they are needed.
  
• Examples given throughout to illustrate how the concepts apply.
  
• A concise summary is given at the conclusion of the tutorial.

• Statistics Study Tips
  
• Problem Solving Skills
  
• Measures of Central Tendency – Mean, Median, Mode, Midrange
  
• Measures of Variability – Range, Variance, Standard Deviation
  
• Probability
  
• Frequency Distribution – Categorical, Histogram, Bar chart, Stem-and-
• Leaf Plot
  
• Testing Hypothesis – Alternative, Null, Type I & Type II Errors,
  
• Limit Theorem
• Probability Distribution – Uniform, Normal, Exponential