This series of lessons will cover: Collecting and summarizing data, Common ways to describe data, Different ways to represent data, Frequency Tables, Cumulative Frequency, More advanced Statistics, Descriptive Statistics, Probability, Correlation, and Inferential Statistics
A. Collecting and summarizing data
B. Common ways to describe data
C. Different ways to represent data
D. Frequency Tables
E. Cumulative Frequency
F. More Advanced Statistics
A series of free Statistics Lectures in videos
Statistics Calculator with step by step solutions
Average Descriptive Statistics, Dispersion Statistics
Probability, Probability Distributions
Frequency Distribution, Normal Distributions
t-Distributions, Hypothesis Testing
Estimation and Sample Size, Correlation and Regression
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Statistics and Probability
Statistics and probability are sections of mathematics that deal with data collection and analysis. Probability is the study of chance and is a very fundamental subject that we apply in everyday living, while statistics is more concerned with how we handle data using different analysis techniques and collection methods. These two subjects always go hand in hand and thus you can't study one without studying the other.
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Introduction to Statistics
This section deals with introducing the concept of statistics and its relevance to everyday life. data is defined and the various methods of data collection, like sampling are also introduced.
We have all used the term 'Average' in some form or another at some point in our lives. Statistical averages are introduced and defined in this section. Mean, median, mode and range are discussed both at an introductory level and also at a more advanced level, like the concept of Assumed mean.
Frequency and its aspects like Cumulative Frequency are also discussed.
This section serves as an introduction to the concept of Probability, including definitions of the different terminology and the fundamental method of calculating Probability.
Different concepts like Dependence and Independence of Events are discussed including the methods of dealing with such concepts.
This page helps with showing how hypothesis testing is used to understand the relevance of results we get using statistics, with an example of a hypothesis seen through from start to finish.