Q3, W1: January 26th – 29th Advanced Math

MAFS.7.SP.1.1

Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.

MAFS.8.SP.1.1

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

MAFS.7.SP.1.2

Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions.

Students are successful when they can…

• critique examples of random sampling as statistical tools using precise mathematical vocabulary:  random sampling, population, and valid generalizations.
• design random samplings to collect the data given statistical questions. Defend the samplings as random.
• construct a scatter plot by plotting ordered pairs on a coordinate grid representing the relationship between two data sets.
• describe patterns in the plotted points such as clustering, outliers, positive or negative association, and linear or nonlinear association and describe the pattern in the context of the measurement data.
• explain the patterns of association of scatter plots of bivariate data in the context of the data sample.
• draw valid inferences and generalizations from random samplings of populations and justify their inferences and generalizations as valid using appropriate vocabulary.
• explain the variability in multiple random samples and gauge how far off an estimate may be.

Tuesday (5th Period Students)

1. i-Ready Diagnostic (30 minutes)
2. Instruction
   1. Introduction to Statistics – The Complete Middle School Study Guide, Chapter 51, pages 356 – 364
   2. Video – Random Samples on i-Ready
   3. Video – Making Statistical Inferences on i-Ready
3. IXL assignments – due Friday, January 29th
   1. 7th Grade CC.8 Identify representative, random, and biased samples
   2. 7th Grade J.15 Estimate population size using proportions

Wednesday (All Students)

i-Ready Diagnostic

Thursday (Innovative and 3rd Period students)

1. i-Ready Diagnostic (30 minutes)
2. Instruction
   1. Introduction to Statistics – The Complete Middle School Study Guide, Chapter 51, pages 356 – 364
   2. Video – Random Samples on i-Ready
   3. Video – Making Statistical Inferences on i-Ready
3. IXL assignments – due Monday, February 1st
   1. 7th Grade CC.8 Identify representative, random, and biased samples
   2. 7th Grade J.15 Estimate population size using proportions

Friday (5th Period Students)

1. Complete i-Ready Diagnostic if not finished (30 minutes)
2. Instruction
   1. Video – Scatter Plots of i-Ready
   2. Video – Scatter Plots on khan Academy
3. IXL Assignments – due Tuesday, February 2nd
   1. 8th Grade CC.15 Create scatter plots
   2. 8th Grade CC.16 Identify trends with scatter plots
   3. 8th Grade DD.8 Outliers in scatter plots

Summatives

None

Formatives

Due Friday, January 29th – 5th Period Students

Due Monday, February 1st – Innovative and 3rd Period students

1. IXL 7th Grade CC.8 Identify representative, random, and biased samples
2. IXL 7th Grade J.15 Estimate population size using proportions

Due Tuesday, February 2nd – 5th Period Students

1. 8th Grade CC.15 Create scatter plots
2. 8th Grade CC.16 Identify trends with scatter plots
3. 8th Grade DD.8 Outliers in scatter plots

All IEP accommodations will be provided each class.

Upcoming Activities:

DIA 3 – February 9th for 5th period and February 11th for Innovative and 3rd period.