Counting Corner

The bundle includes guided notes and practice for the following topics: 1) Drawing Dot Plots 2) Reading Dot Plots 3) Histograms 4) Measures of Center (Mean, Median & Mode) 5) Five Number Summary & Box Plots 6) Interquartile Range (IQR) 7) Outliers

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

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

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

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

IB Applications & Interpretations SL: Teacher Guide for Guided Notes - Lesson 7.2

IB Applications & Interpretations SL: introduce mean of a discrete probability distribution, rounding rule, introduce expectation, gaming and expected values, examples, practice problems

Introduction to dot plots Examples Practice Problems

IB Applications & Interpretations: Warm up using measures of center, introduce measures of variation (range, quartiles), create a box and whiskers plot, calculate the 5-number summary on a calculator, introduce the interquartile range and the 1.5 rule, examples, practice problems

IB Applications & Interpretations: Introduce types of data (qualitative/categorical vs quantitative/numerical, continuous vs discrete), examples, introduce frequency tables, examples, practice problems

IB Applications & Interpretations: Warm up using measures of center and measures of variation, introduce types of sampling techniques (simple random sample, stratified sampling, cluster sampling, systematic sampling, convenience sampling, volunteer sampling, self-selected sampling), examples, practice problems using technology (free Guided Notes Data Supplement - Lesson 3.4 needed for this activity)