Math with Mulholland

ProbStat - Unit 1 Analyze One Variable Data - GUIDED NOTES BUNDLEThis is a bundle of all 9 lessons in Unit 1 Analyzing One-Variable Data for Probability & Statistics. What is included for each lesson?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped Key

ProbStat - Unit 4 Probability - GUIDED NOTES BUNDLEThis is a bundle of all 8 lessons in Unit 4 Probability for Probability & Statistics. What is included for each lesson?Guided NotesExamplesTechnology Guides - for online applets & graphing calculatorCumulative "Check Your Understanding" PracticeTyped Keys

ProbStat - Unit 2 Analyze Two Variable Data - GUIDED NOTES BUNDLEThis is a bundle of all 8 lessons in Unit 2 Analyzing Two-Variable Data for Probability & Statistics. What is included for each lesson?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped Key

ProbStat - Unit 3 Collecting Data - GUIDED NOTES BUNDLEThis is a bundle of all 9 lessons in Unit 3 Collecting Data for Probability & Statistics. What is included for each lesson?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped Key

A bundle of the #1 to #12 Statistics Word Walls.

Two-Way Tables & Venn Diagrams GUIDED NOTESThis is lesson 3 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesUse a two-way table to find probabilities.Calculate probabilities with the general addition rule.Use a Venn diagram to find probabilities.

Basic Probability Rules GUIDED NOTESThis is lesson 2 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesGive a probability model for a chance process with equally likely outcomes and use it to find the probability of an event. Use the complement rule to find probabilities.Use the addition rule for mutually exclusive events to find probabilities

Summarizing Quantitative Data: Boxplots & Outliers GUIDED NOTESThis is lesson 8 in Unit 1 Analyzing One-Variable Data. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesUse the IQR x 1.5 rule to identify outliers.Make & interpret boxplots of quantitative data.Compare distributions of quantitative data with boxplots.

Randomness, Probability, & Simulation GUIDED NOTESThis is lesson 1 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesInterpret probability as a long-run relative frequency. Dispel common myths about randomness.Use simulation to model chance behavior.

Measures of Spread: Range, IQR, & Standard Deviation GUIDED NOTESThis is lesson 7 in Unit 1 Analyzing One-Variable Data. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesFind the range of a distribution of quantitative data.Find & interpret the interquartile range.Calculate & interpret the standard deviation.

The Sampling Distribution of the Sample Count GUIDED NOTESThis is lesson 3 in Unit 6 Sampling Distributions. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesCalculate the mean and the standard deviation of the sampling distribution of a sample count and interpret the standard deviation.Determine if a sampling distribution of a sample count is approximately normal.If appropriate, use normal approximation to the binomial distribution to

What is a Sampling Distribution: Center & Variability GUIDED NOTESThis is lesson 2 in Unit 6 Sampling Distributions. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesDetermine if a statistic is an unbiased estimator of a population parameter.Describe the relationship between sample size and the variability of a statistic.

What is a Sampling Distribution? GUIDED NOTESThis is lesson 1 in Unit 6 Sampling Distributions. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesDistinguish between a parameter and a statistic.Create a sampling distribution using all possible samples from a small population.Use the sampling distribution of a statistic to evaluate a claim about a parameter.

The Multiplication Counting Principle & Permutations GUIDED NOTESThis is lesson 7 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesUse the multiplication counting principle to determine the number of ways to complete a processinvolving several steps.Use factorials to count the number of permutations of a group of individuals.Compute the number of permutations of 𝑛 individuals taken 𝑘 at a time.

Combinations & Probability GUIDED NOTESThis is lesson 8 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesCompute the number of combinations of 𝑛 individuals taken 𝑘 at a time.Use combinations to calculate probabilities.Use the multiplication counting principle and combinations to calculate probabilities.

The General Multiplication Rule & Tree Diagrams GUIDED NOTESThis is lesson 5 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesUse the general multiplication rule to calculate probabilities.Use a tree diagram to model a chance process involving a sequence of outcomes.Calculate conditional probabilities using tree diagrams.

Describing Location: Percentiles & z-Scores GUIDED NOTESThis is lesson 9 in Unit 1 Analyzing One-Variable Data. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesFind & interpret a percentile in a distribution of quantitative data.Estimate percentiles & individual values using a cumulative relative frequency graph.Find & interpret a standardized score (z-score) in a distribution of quantitative data.

Conditional Probability & Independence GUIDED NOTESThis is lesson 4 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesFind and interpret conditional probabilities using two-way tables.Use the conditional probability formula to calculate probabilities.Determine whether two events are independent.

The Multiplication Rule for Independent Events GUIDED NOTESThis is lesson 6 in Unit 4 Probability. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeysLesson ObjectivesUse the multiplication rule for independent events to calculate probabilities.Calculate P(at least one) using the complement rule and the multiplication rule for independent events.Determine if it is appropriate to use the multiplication rule for independent events in a given setting.

Displaying Categorical Data GUIDED NOTESThis is lesson 2 in Unit 1 Analyzing One-Variable Data. What is included?Guided NotesExamplesCumulative "Check Your Understanding" PracticeTyped KeyLesson ObjectivesMake & interpret bar charts of categorical data.Interpret pie charts.Identify what makes some graphs of categorical data deceptive.