1. Statistical Evaluation
2-3

2. Statistics
A part of math that lets researchers organize and evaluate data

3. Types of Statistics
Descriptive statistics
Inferential statistics

4. Descriptive Statistics
Listing and summarizing of data
Typically uses graphs and averages
Purpose is to describe the characteristics of a sample

5. Descriptive Statistics
Distributions of data
Are the results very different from one another (very spread out)
Are the results very similar to each other (very close together/bunched up)
Are the results evenly spread out

6. Descriptive Statistics
Frequency distribution
Way to see how often the same answer/result happened

7. Descriptive Statistics
Normal curve
A bell shaped cure
A symmetrical curve

8. Descriptive Statistics
Measures of Central Tendency
A number that describes something about the average score
Mode – most frequent score
Mean – average
Median – the middle score

9. Descriptive Statistics
Measures of Variance
How spread out the scores are
Range – subtract the highest and lowest score
Standard deviation – like an average distance of every score compared to the mean of the scores

10. Descriptive Statistics
Correlation coefficients
Describes the direction and strength of a relationship between two things
Positive correlation
Negative correlation

11. Inferential Statistics
Purpose – to see if the data supports their hypothesis or if the results just happened by chance

12. Inferential Statistics
Probability and Chance
Tests to determine if the results were just by chance or not

13. Inferential Statistics
Statistical Significance
Less than 5% possibility of chance

14. Inferential Statistics

15. Inferential Statistics