Mean:

The mean is the sum of scores divided by the number of scores.

 where is the number of scores.

Mode:

Mode of a set of data is the value in the set that occurs most often.

Range:

The range of a set of data is the difference between the highest and lowest values in the set.

Variance:

The variance of a sample measures how the conservations are spread around the mean.

Standard Deviation:

The standard deviation is the square root of the average of the squared deviations from the mean (variance).

Categorical frequency distributions:

Categorical frequency distributions can be used for data that can be placed in specific categories, such as nominal- or ordinal-level data.

Central Limit Theorem:

As the sample size increases the sampling distribution of the sample mean approaches the normal distribution with mean and variance .

The exponential, binomial, and normal density functions:

The exponential, binomial and normal density functions are used to approximate statistical models and values.

Flash Movie	Flash Game	Flash Card
Core Concept Tutorial	Problem Solving Drill	Review Cheat Sheet

This tutorial previews the basic concepts of statistics and their properties. Problem solving methods for statistics are used to find solutions to most common statistical problems. Histograms and bar charts are used to show the graphical representation of sample data and their applications.

Statistical problems involving the mean, mode, median of sample data are mentioned in some of the examples. Hypothesis testing and its application in example problems is shown in this tutorial. The Central Limit Theorem is introduced and how it is applied to the different types of probability distributions. The random variable is also introduced in this tutorial.

Specific Tutorial Features:
• The mean, mode and variance are calculated in some of the examples.
• Hypothesis testing is presented with the use of example problems.

Series Features:
• Concept map showing inter-connections of new concepts in this tutorial and those previously introduced.
• Definition slides introduce terms as they are needed.
• Visual representation of concepts
• Animated examples—worked out step by step
• A concise summary is given at the conclusion of the tutorial.

Basic concepts of statistics
      Problem solving methods
      Measures of central tendency
      Mean
      Mode
      Midrange
      Range
      Variance 
      Standard Deviation
      Random Variable
      Frequency Distribution and its graph
Stem-and-Leaf Plot
Probability Distribution Graph
Testing Hypothesis
Alternative and Null Hypothesis
Central Limit Theorem