Graphical Statistics

• Frequency distributions
• Relative Frequency Distributions
• Histograms
• Dot plots
• Stem-and-Leaf Displays
• Bar Charts
• Pie Charts

S.ID.2

• Measures of central tendency

1. Mean
2. Weighted mean
3. Median
4. Mode
5. Range

• Measures of dispersion

1. Standard deviation
2. Variance
3. Empirical Rule

QUARTERLY EXAM

S.ID.4

November

• Z-scores
• Percentiles
• Boxplots

1. IQR
2. Outliers
3. Comparing two different data sets

Statistical deception

S.ID.1

S.ID.2

December

• Data comparison

1. Scatterplots
2. Associations and trends (linear, quadratic, etc)
3. residuals

• Linear correlation/regression

1. Interpret the slope and intercept in the context of the data

S.ID.2

S.ID.5

S.ID.6

S.ID.7

S.ID.8

S.ID.9

January

• Linear correlation/regression (continued)

1. Interpret the correlation coefficient
2. Distinguish between correlation and causation

MIDTERM EXAM

S.ID.7

S.ID.8

S.ID.9

Completed by

MA Common Core Standard

February

• Simple probabilities
• Compound probabilities

1. Combinations and permutations

• Combining rules of probabilities

1. Addition Rule
2. Multiplication Rule
3. Conditional Probabilities

S.CP.1

S.CP.2

S.CP.3

S.CP.5

S.CP.6

S.CP.7

S.CP.8

S.CP.9

March

• Discrete random variable distributions

1. Calculate the expected value of a random variable
2. Construct two-way frequency tables
3. Develop probability distributions using theoretical  and empirical methods and find expected values

Normal Probability Distributions

• Normal probability distribution
• Applications of normal distributions

QUARTERLY EXAM

S.MD.1

S.MD.2

S.MD.3

S.MD.4

S.CP.4

S.ID.4

Completed by

MA Common Core Standard

April

• Sampling distributions

1. Random Sampling

• Central Limit Theorem
• Application of the Central Limit Theorem

S.MD.5

S.MD.6

S.MD.7

May

• Inferences Involving One Population
• Inferences Involving Two Populations
• Analysis of Variance

S.IC.1

S.IC.2

S.IC.3

S.IC.4

S.IC.5

S.IC.6