Counting Corner

IB Applications & Interpretations SL, Unit 3 - Representing and Describing Data - Descriptive Statistics. This bundle includes 7 guided notes lessons, teacher guides for each day, 2 assessments and assessment reviews (lessons 3.1-3.3, and 3.1-3.6), and an assignment sheet, including recommended hw extra practice. Topics include: 1) Types of data 2) Measures of central tendency 3) Measures of variation 4) Sampling techniques 5) Presenting data 6) Bivariate data

IB Applications & Interpretations SL, Unit 6 - Modeling Relationships - Linear Correlation of Bivariate Data. This bundle includes 5 guided notes lessons, teacher guides for each day, 1 assessment and assessment review (lessons 6.1-6.3), an end-of-unit performance task, and an assignment sheet pacing guide, including recommended hw extra practice. Topics include: 1) Piecewise Functions 2) Scatterplots 3) Correlation 4) Line of Best Fit 5) Interpreting the Regression Line

Introduce Interquartile Range (IQR) Introduce variability Comparing data sets using IQR Practice problems

IB Applications & Interpretations SL, Unit 8 - Testing for Validity (Spearman, Hypothesis Testing, Chi-Squared Test). This bundle includes 4 guided notes lessons, teacher guides, 1 assessment and assessment review with answer keys, and an assignment sheet, including recommended hw extra practice. Topics include: 1) Spearman's Rank Correlation Coefficient 2) Introduction to Hypothesis Testing 3) Hypothesis Testing for Means 4) Chi-Squared χ2 Hypothesis Test for Goodness of Fit

IB Applications & Interpretations SL, Unit 7 - Quantifying Uncertainty - Probability, Binomial and Normal Distribution. This bundle includes 7 guided notes lessons, teacher guides for each day, 2 assessments and assessment reviews (lessons 6.1-6.3), an end-of-unit performance task, and an assignment sheet pacing guide, including recommended hw extra practice. Topics include: 1) Basic Concepts of Probability and Counting 2) Conditional Probability and the Multiplication Rule 3) The Addition Rul

Objective: Students will be able to calculate conditional probability from events with and without replacement Do Now warm up Vocabulary: independent events, dependent events Discussion Interactive activity Card deck probability ABCs probability

IB Applications & Interpretations SL: Introduce statistical inferences, probability theory, experiment, sample point, sample space, how to find outcomes to an experiment using tree diagrams or systematic approach, introduce the fundamental counting principle with repetition and non-repetition, the three types of probability and the formula for calculating probability, rules of probability, compliment of an event, examples and practice

IB Applications & Interpretations SL: Introduce continuous random variable, continuous probability distribution, normal distribution, normal curve, finding area under a standard curve using a calculator, probability of a normal random variable, z-scores, examples, practice problems

IB Applications & Interpretations SL: Teacher Guide for Guided Notes - Lesson 7.1

IB Applications & Interpretations SL: Introduce independent events vs dependent events, formulas for calculating probabilities of independent/dependent events, introduce conditional probability, examples, practice problems

IB Applications & Interpretations SL: Objectives: understand hypothesis testing, state null and alternative hypothesis, identify type 1 and type 2 errors, determine use of 1-tailed or 2-tailed test Introduce hypothesis test Null vs Alternative hypothesis Types of errors Level of significance types of tests Examples Practice

IB Applications & Interpretations SL: Warm up using random selection, introduce random variable (discrete random variables vs continuous random variables), probability distributions, rules for probability distributions, constructing a probability distribution, examples, practice problems

IB Applications & Interpretations SL: Warm up analyzing scatterplots, introduce correlation and Pearson Product-Moment Correlation Coefficient (r), properties of correlation, group investigation for various variables, examples, practice problems

A really fun activity that helps students see statistics in action. Students can work alone or in pairs and must roll 2 dice 25 times, and analyze the results. Every page is guided activity, and there is a reflection/conclusion piece at the end.

IB Applications & Interpretations: Introduce bivariate data, types of correlation, strengths of correlation, creating scatterplots on a calculator, examples, practice problems

IB Applications & Interpretations SL: End-of-Unit Assessment performance task to create bingo cards by analyzing probabilities of numbers that are likely to be selected. Students will then compete in a bingo competition

IB Applications & Interpretations SL: End-of-Unit 6 Assessment - Bivariate Data Research Performance Task. Students work in pairs to collect data on two correlated items. After collecting data from 25 participants, students create a scatter plot, line of best fit and analyze the data. Students then perform a gallery walk and answer a series of reflection questions for positive/negative correlation, and zero correlation. Example and grading rubric included

IB Applications & Interpretations SL: Objective: Conduct a hypothesis test and use a p-value to make decisions Introduce χ2 test for goodness of fit, degrees of freedom Demonstrate how to calculate on graphing calculator Example Practice

How to read dot plots Guided Example Practice problem

IB Applications & Interpretations SL: Teacher Guide for Guided Notes - Lesson 8.2