Statistics can be challenging to understand, but it is important in so many ways.
Statistics can tell us what to expect, what is likely, what is successful and what is not. Statistics are used by more than just mathematicians or statisticians. This is a discipline that is applied in worlds of science, business and even the humanities. If you work in politics or news media, statistics may be a necessary tool in your daily workplace.
Despite it’s importance, some people find statistics hard to get their head around. That is why we wrote this book. We have tried to keep the subject as simple as possible here for the beginner, and to be selective about what we do and do not include in the book. In this way, this eBook can be a great starting point for anyone wanting or needing to get their head around the subject, from school students to anyone finding themselves in a job where they need to refresh their knowledge and understanding of statistics.
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
- More ebooks available
- Courses available
