**Statistics**meets the requirements for the DSST examination. This exam covers material normally taught in a one-semester introductory course in statistics at the undergraduate level. You must have a basic knowledge of algebra. The exam tests the following abilities:

- Interpretation of various types of data
- Determination of implications and consequences
- Performance of statistical calculations
- Use of abstractions and concrete situations
- Performance of statistical calculations

Topics covered in this course are:

- Descriptive Statistics
- Histograms
- Averages
- Standard deviation
- Normal approximation for data
- Standard units
- Areas under the normal curve
- Quartiles
- Percentiles

- Correlation and Regression
- Scatter diagrams
- Correlation coefficient
- Estimation and the line of best fit

- Probability
- Basic concepts
- Dependent and independent events
- Compatible and incompatible events
- Binomial formula
- Combinations and permutations

- Chance Models and Sampling
- The law of averages
- Expected values
- Standard error
- Normal approximation
- Confidence intervals
- Sample size
- Sample average
- Estimating accuracy of sample average

- Test of Significance
- Null hypothesis
- Significance levels
- Comparing two samples
- T-test and x2 Test

(Taken from “Principles of Statistics,”

*DSST Fact Sheet*, Thomson Prometric)