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
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
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: 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
IB Applications & Interpretations SL: Objectives: Use a Spearman Rank correlation coefficient, interpret the sign of a correlation Warm up Review Pearson Product-Moment Correlation Coefficient Introduce Spearman's Rank Correlation Coefficient Examples Practice
IB Applications & Interpretations SL: Objective: Conduct a hypothesis test and use a p-value to make decisions Decision rules based on p-value Finding a p-value for a hypothesis test Finding a standardize test statistic 5 step hypothesis test for a mean Examples Practice