# Statistics Help & Practice

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##### 1Graphing Data

- 1.1Reading and drawing bar graphs
- 1.2Reading and drawing histograms
- 1.3Reading and drawing line graphs
- 1.4Box-and-whisker plots and scatter plots
- 1.5Reading and drawing Venn diagrams
- 1.6Stem-and-leaf plots
- 1.7Circle graphs
- 1.8Frequency tables and dot plots
- 1.9Advantages and disadvantages of different graphs
- 1.10Misleading graphs
- 1.11Critiquing data presentation
- 1.12Frequency distribution and histograms
- 1.13Frequency polygons
- 1.14Shapes of distributions

- 1.1Reading and drawing bar graphs
##### 2Designing Studies

##### 3Measures of Central Tendency

##### 4Measures of Dispersion

##### 5Discrete Probabilities

##### 6Normal Distribution and Z-Scores

##### 7Confidence Intervals

##### 8Bivariate Data

##### 9Permutations and Combinations

##### 10Probability

- 10.1Introduction to probability
- 10.2Organizing outcomes
- 10.3Probability of independent events
- 10.4Comparing experimental and theoretical probability
- 10.5Determining probabilities using tree diagrams and tables
- 10.6Probability of independent events
- 10.7Probability
- 10.8Addition rule for "OR"
- 10.9Multiplication rule for "AND"
- 10.10Conditional probability
- 10.11Laws of total probability
- 10.12Bayes' rule
- 10.13Probability with Venn diagrams

- 10.1Introduction to probability
##### 11Hypothesis Testing

- 11.1Null hypothesis and alternative hypothesis
- 11.2Proving claims
- 11.3Confidence levels, significance levels and critical values
- 11.4Test statistics
- 11.5Traditional hypothesis testing
- 11.6P-value hypothesis testing
- 11.7Mean hypothesis testing with t-distribution
- 11.8Type 1 and type 2 errors
- 11.9Chi-Squared hypothesis testing
- 11.10Analysis of variance (ANOVA)
- 11.11Chi-square goodness of fit test

- 11.1Null hypothesis and alternative hypothesis