Look Inside
Explore the world of statistics. Whether you are new to the subject, or in need of refreshing old knowledge, this is as easy as it gets -as a way of gaining a fundamental understanding of what statistics is and how to use statistics appropriately and effectively. Some say you can use statistics to prove anything. That may be the case, but the proper application of statistics will point toward truths. Only the improper application will point toward untruths.
Read and study this book to understand what is possible through proper use 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
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