This Course Relies on Using the Graphing Calculator

This course relies on using the graphing calculator. Teachers should have their overhead TI83 to use.

Unit 1- Organizing Data 2 weeks

Concepts to cover:  S3.1.2 S3.1.1 S3.1.5 Sampling methods  S3.1.2 S3.1.1 S3.1.5 Levels of Measurement  S3.1.2 Surveys- Biased questions  S1.1.1 Displaying Data o Bar graphs, circle graphs, stem and leaf plots, dot plots, histograms  S1.1.2 Shape, symmetry and skewness

Activities:  Snack Activity o Frequency Table o Bar Graph o Survey Techniques and bias  Random Rectangles o Sampling Populations o Bias  Identifying Sampling Methods  Nielson Ratings o Identifying levels of measurement  Greed Activity o Random number generator o Back to back stem and leaf plot o Psychology behind it o Risk factor o Look at patterns of data  Survey Class o Generates data that can be used later for other activities (mmm, graphing, or any stuff from unit 1)

Unit 2- Averages and Variation 2 weeks

Concepts to cover:  S1.2.1 Measures of Central Tendency  S1.2.3 Measures of Variation  S1.2.3 S1.1.1 Boxpolots  Chebyshev’s Theorem

Activities:  Comparing Reaction Times- do at end of chapter since it covers all concepts o Finding mmm o Standard deviation o Box plots o 5 number summary and outliers  Human box-plot o How many hours of sleep from night before to the nearest half hour o Student heights in inches o Stem and leaf plot (optional) o 5 number summary and check for outliers o Students become data points- . order in a line from least to greatest . establish median . establish quartiles . establish extremes  Bathroom Scale o Box plots o Randomly assign who uses their dominant hand o 5 number summary and outliers

Unit 3- Regression and correlation 2 weeks **Relying on the graphing calculator

Concepts to cover:  S2.1.1 S2.1.2 Scatterplots  S2.1.2 S2.1.3 S2.1.4 Correlation  S2.2.1 S2.2.2 Linear Regression

Activities:  Rubberband  Cartoon Correlation  Tracks of a killer  NASA  All of these activites involve: o Creating a scatterplot o Determining association o Correlation coefficient o Linear regression equation- interpreting slope and y-intercept o Prediction from regression line (prediction line)

Unit 4- Probability 4-5 weeks

Concepts to cover:  S4.1.1 S4.12 Probability- Sample Space  S4.1.1 S4.12 Law of Large numbers  S4.2.2 Odds and Mathematical Expectation  S4.2.1 Counting Techniques- Counting principle/rule, permutations and combinations  S4.1.2 Addition Rule- Mutually exclusive  S4.1.2 Multiplication Rule- independent/dependent events  S4.1.2 Conditional Probability  S4.2.1 Tree Diagrams  S4.1.3 Compare simulations to theoretical probability

Activities:  Rolling Dice o Experimental data o Create bar graph o Find sample space  Monopoly: Rolling Doubles o Experimental Data o How many rolls does it take until you get doubles  Plinko OR Deal or No Deal o Odds o Expected Value (mathematical expectation)  Quiz or No Quiz o Experimental data o Counting Rule and Pascal’s triangle  Price is Right: Spelling Bee o Combinations o Probability that you would win the car  Red Stripes/Blue Stripes o Simulation of pulling out 2 socks that would make a pair o Mutually exclusive events o Dependent events  Cereal Box o Simulation with dice or random number generator on TI 83 o Comparing simulations with theoretical probability  Rock/Paper/ Scissors o Experimental vs. Theoretical Probability o Combinations  Is Brian’s Game Fair? o Rolling Die o Experimental vs. Theoretical Probability o Combinations  Let’s Make a Deal o Online simulation o Reenact the game show  Hermit’s Epidemic o Simulation with dice or random number generator on TI 83 o Comparing simulations with theoretical probability

Unit 5- Normal Distributions 2 weeks Concepts to Cover:  S1.3.1 S1.3.2 Normal Distribution- Shape  S1.3.3 Empirical Rule 68-95-99.7%  S1.3.4 Calculate z-Scores

Activities:  Sum of the Dice Activity o Use online simulation or use class data to generate a normal distribution o Use TI 83 plus to create the histogram