BeesMathSquad

Great project after your first statistics unit learning about univariate data. This project has students research online and collect temperature data from your city and compares it to temperature data of another city. This project implements the use of technology (spreadsheets or stapplet.com) to produce visuals and graphs. Rubric/grading guidelines included. This project takes: ~2 block schedules ~3-4 45 minute classes

Guess the correlation game!! Your statistics students will LOVE this game as they have just learned what correlation (r) is. Have students get into pairs/groups. Students will be displayed a scatterplot where they have to estimate the correlation based on direction and strength. Keep a running tally of the group who "wins" the most by being the closest to the actual correlation value. There is a total of 9 "questions". This is meant to be used with google the google peardeck add on where studen

File includes student guided notes and teacher key! Files are editable as well. Content: basic probability problemssample spaceIncorporates the fun game "SKUNK"! Get student scorecard from my "freebie" section or have students draw a scorecard. All students love this game! After learning how to calculate probabilities and playing the game, then as a class find the odds of rolling a 1 on either dice.

File includes student guided notes and teacher key! Files are editable as well. Content: scatterplots and correlation calculating line of best fit in a graphing calculator (linear regression)using line of best fit to predict for other valuesgraphing scatterplot and line of fit on the graphing calculator

File includes student guided notes and teacher key! Files are editable as well. Content: measures of center (mean, median, mode)measure of variation (range)quartilesboxplotsTwo of the examples include collecting data from the students to get them engaged!

Use this project/task to have fun with your students and have them put on the hat of a statistician to collect their own quantitative data (1-variable), then determine if it is a normal distribution by looking at the histogram, calculating the Pearson Index of Skewness, and checking for outliers. Once they have determined the normality they can compute some interesting statistics about their dataset! Students love this task because they get to pick the topic of their data and go out and collect

Calculator example and guide to inputting data into a list into the calculator then using the 1-var stats function to find summary statistics.