1. Home
  2. > Statistics

Statistics

Give your kids a fun and simple way to learn and improve with our child friendly design. Our grade K-8 courses put practice first so they can quickly test their knowledge and develop their skills further. Browse one of our topics to see what you kids will experience.
  1. 1Graphing Data
    1. 1.1Reading and drawing bar graphs
    2. 1.2Reading and drawing histograms
    3. 1.3Reading and drawing line graphs
    4. 1.4Box-and-whisker plots and scatter plots
    5. 1.5Reading and drawing Venn diagrams
    6. 1.6Stem-and-leaf plots
    7. 1.7Circle graphs
    8. 1.8Frequency tables and dot plots
    9. 1.9Advantages and disadvantages of different graphs
    10. 1.10Misleading graphs
    11. 1.11Critiquing data presentation
    12. 1.12Frequency distribution and histograms
    13. 1.13Frequency polygons
    14. 1.14Shapes of distributions
  2. 2Designing Studies
    1. 2.1Influencing factors in data collection
    2. 2.2Data collection
    3. 2.3Classification of data
    4. 2.4Sampling methods
    5. 2.5Census and bias
  3. 3Measures of Central Tendency
    1. 3.1Median and mode
    2. 3.2Mean
    3. 3.3Range and outliers
    4. 3.4Application of averages
    5. 3.5Center of a data set: mean, median, mode
  4. 4Measures of Dispersion
    1. 4.1Spread of a data set - standard deviation & variance
    2. 4.2Measures of relative standing - z-score, quartiles, percentiles
  5. 5Discrete Probabilities
    1. 5.1Probability distribution - histogram, mean, variance & standard deviation
    2. 5.2Binomial distribution
    3. 5.3Mean and standard deviation of binomial
    4. 5.4Poisson distribution
    5. 5.5Geometric distribution
    6. 5.6Negative binomial distribution
    7. 5.7Hypergeometric distribution
    8. 5.8Properties of expectation
  6. 6Normal Distribution and Z-Scores
    1. 6.1Introduction to normal distribution
    2. 6.2Normal distribution and continuous random variable
    3. 6.3Z-scores and random continuous variables
    4. 6.4Sampling distributions
    5. 6.5Central limit theorem
    6. 6.6Rare event rule
  7. 7Confidence Intervals
    1. 7.1Point estimates
    2. 7.2Confidence levels and critical values
    3. 7.3Margin of error
    4. 7.4Making a confidence interval
    5. 7.5Confidence intervals to estimate population mean
    6. 7.6Student's t-distribution
    7. 7.7Chi-Squared confidence intervals
  8. 8Bivariate Data
    1. 8.1Scatter plots and Correlations
    2. 8.2Regression analysis
    3. 8.3Equation of the best fit line
  9. 9Permutations and Combinations
    1. 9.1Fundamental counting principle
    2. 9.2Factorial notation
    3. 9.3Path counting problems
    4. 9.4Permutation vs. Combination
    5. 9.5Permutations
    6. 9.6Combinations
    7. 9.7Problems involving both permutations and combinations
    8. 9.8Probability with permutations and combinations
  10. 10Probability
    1. 10.1Introduction to probability
    2. 10.2Organizing outcomes
    3. 10.3Probability of independent events
    4. 10.4Comparing experimental and theoretical probability
    5. 10.5Determining probabilities using tree diagrams and tables
    6. 10.6Probability of independent events
    7. 10.7Probability
    8. 10.8Addition rule for "OR"
    9. 10.9Multiplication rule for "AND"
    10. 10.10Conditional probability
    11. 10.11Laws of total probability
    12. 10.12Bayes' rule
    13. 10.13Probability with Venn diagrams
  11. 11Hypothesis Testing
    1. 11.1Null hypothesis and alternative hypothesis
    2. 11.2Proving claims
    3. 11.3Confidence levels, significance levels and critical values
    4. 11.4Test statistics
    5. 11.5Traditional hypothesis testing
    6. 11.6P-value hypothesis testing
    7. 11.7Mean hypothesis testing with t-distribution
    8. 11.8Type 1 and type 2 errors
    9. 11.9Chi-Squared hypothesis testing
    10. 11.10Analysis of variance (ANOVA)
    11. 11.11Chi-square goodness of fit test