Statistics- A Simple Introduction- PDF ebook

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This book was developed as a starter for anyone new to, or even struggling to come to grips with statistics.

We have been teaching statistics successfully through our online course for decades; but we have found that some people don’t need to go as deeply into the subject, and others sometimes find it challenging to undertake a course at that depth. This ebook has been developed to be a step before that course, to provide a novice to the subject with a more digestible introduction.

CHAPTER 1 THE LANGUAGE

Example
Important Terms in Statistics
Data Collection Method
Statistical Method
Descriptive Statistics
Inferential Statistics
Data Point
Observation
Data Set
Research Population
Data Sample
Square Root
Exponents and Roots
Summation Sign
Array
Coefficient
Constant
Variable
Independent and Independent Variable
Univariate Data
Bivariate Data
Frequency Counts
Frequency Distribution
Grouped Frequency Table
Cumulative Frequency
Total Frequency
Bi-Variate Frequency
Class
Class Interval
Class Frequency
Data Types
Qualitative Data
Quantitative Data
Hypothesis
Responsible Use Of Statistics

CHAPTER 2 DATA COLLECTION

Tools for Data Collection
Collecting Data
Quantity
Timing
Time
Contamination/Bias
Language
Ethics
Cost
Source Reliability
Example
Sources of Data
Steps in Data Collection

CHAPTER 3 MEASURING THE CENTRE

Mode, Mean, Median
Mean
Mode
Median
Range
Standard Deviation
Normal Distribution
Which Measure Of Central Tendency To Use?
Box and Whisker Plots
Degrees Of Freedom

CHAPTER 4 DETERMINING LIKELIHOODS (INFERENTIAL STATISTICS)

Measuring Probability
Probability Parameters
Discrete Variables
Continuous Variables
P-Values
Statistical Significance
Null and Alternate Hypothesis
Errors in Hypothesis Testing
Alpha
Beta
The T-Test
Types of T-Tests
A Review of Box and Whisker Plots Related to T-Tests
Analysis of Variance (ANOVA)
One-Way ANOVA
Parametric and Non-Parametric Tests

CHAPTER 5 MEASURING CORRELATION

Correlation
Coefficient of Variation
Linear Regression
Simple Linear Regression Formula
Conclusion
FURTHER READING AND STUDY
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Courses available

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