9-29-23 Designing Your Hit Song Unit 2
- What
- 9-29-23 Designing Your Hit Song Unit 2
- When
- 9/29/2023
Teacher: Coach Wakeland/Coach Burkett
Course/Subject: College Readiness
Designing Your Hit Song
Standards:
CRM.MM.1.1, 1.2, 1.3 & 1.4
Learning Targets:
• I can define categorical variables.
• I can represent categorical variables graphically.
• I can calculate conditional probabilities.
• I can represent univariate data on the real number line.
• I can calculate the center and spread of two or more univariate data sets, accounting
for possible effects of extreme data points.
• I can interpret the shape, center, and spread of two or more univariate data sets,
accounting for possible effects of extreme data points.
• I can compare the shape, center, and spread of two or more univariate data sets,
accounting for possible effects of extreme data points.
• I can distinguish between correlation and causation.
• I can represent bivariate data on a scatter plot.
• I can compute using technology the correlation coefficient “r” of a linear fit.
• I can interpret the correlation coefficient “r” of a linear fit, using technology.
• I can describe how bivariate variables are related in terms of strength and direction.
• I can interpret the slope (rate of change) and the intercept (constant term) of a linear
model in the context of the data.
Success Criteria:
• I can define categorical variables.
• I can represent categorical variables graphically.
• I can calculate conditional probabilities.
• I can represent univariate data on the real number line.
• I can calculate the center and spread of two or more univariate data sets, accounting
for possible effects of extreme data points.
• I can interpret the shape, center, and spread of two or more univariate data sets,
accounting for possible effects of extreme data points.
• I can compare the shape, center, and spread of two or more univariate data sets,
accounting for possible effects of extreme data points.
• I can distinguish between correlation and causation.
• I can represent bivariate data on a scatter plot.
• I can compute using technology the correlation coefficient “r” of a linear fit.
• I can interpret the correlation coefficient “r” of a linear fit, using technology.
• I can describe how bivariate variables are related in terms of strength and direction.
• I can interpret the slope (rate of change) and the intercept (constant term) of a linear
model in the context of the data.
Introduction/Connection: Daily 10
Direct Instruction:
Daily 10
Designing Your Hit Song Activity
Standards:
CRM.DSR.6.3, 6.8, 6.9 and 6.10
CRM.MM.1.1, 1.2, 1.3 & 1.4
Direct Instruction:
Daily 10
Designing Your Hit Song
Guided Practice: Students will learn about the Mathematics application during the Bivariate Data activity
Independent/Collaborative Practice/Differentiation: Students will be allowed to work in pairs to complete the given assignment Practice Worksheet
Summarize/Check for understanding: Teacher questioning, guided practice will be checked for accuracy and corrections will be made.I can distinguish between correlation and causation.