Adv Algebra - Data and Statistics Week 1

Week of: 1/6

*for additional curriculum information, please visit the district's resource High School Pacing Guides  or Georgia Standards

Course Name:Advanced Algebra

Monday

Teacher Work Day

Tuesday

Teacher Work Day

Wednesday

1/8

Lesson/Activity:

   Engage: Count the squares activity

   Explore: TI-84 Introduction  activity

  Apply: 

Resources: Worksheet, TI-84 calculator

Thursday

1/9

AA.DSR.2.1: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. Distinguish between primary and secondary data and how it affects the types of conclusions that can be drawn. AA.DSR.2.2: When collecting and considering data, critically evaluate ethics, privacy, potential bias, and confounding variables along with their implications for interpretation in answering a statistical investigative question. Implement strategies for organizing and preparing big data sets. AA.DSR.2.3: Distinguish between population distributions, sample data distributions, and sampling distributions. Use sample statistics to make inferences about population parameters based on a random sample from that population and to communicate conclusions using appropriate statistical language. 

LT: 

• I can differentiate between populations and samples

• I can determine if data is a parameter or a statistic

• I understand the different types of sample 

• I can identify types of studies and data collection methods

• I can categorize types of data

• I can identify sources of bias

• I can determine if a system of data collection is ethical and if it protects subject privacy

• I can determine if a data source is primary or secondary

 SC:

• I know that samples are subsets of the population

• I know that parameters describe populations

• I know that statistics describe samples

• I know the difference between random, stratified, cluster, convenience and systematic samples

• I know the difference between an observational study and an experiment

• I can describe the characteristics of a simulation, a census and a survey

• I can describe the difference between quantitative and qualitative data

• I can define bias and identify sources of bias in a data collection method

• I know that primary data sources are collected directly by the researcher

• I can describe the characteristics of a ethical and private data collection method

• I can identify the characteristics of an informed consent policy

Lesson/Activity: 

Engage: WODB

Explore: Notes and examples of vocabulary terms related to data collection and design

Apply: Student work and embedded questions in guided notes

Reflect: Week 1 Review

Resources: Worksheet

Friday

1/10

AA.DSR.2.1: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. Distinguish between primary and secondary data and how it affects the types of conclusions that can be drawn. AA.DSR.2.2: When collecting and considering data, critically evaluate ethics, privacy, potential bias, and confounding variables along with their implications for interpretation in answering a statistical investigative question. Implement strategies for organizing and preparing big data sets. AA.DSR.2.3: Distinguish between population distributions, sample data distributions, and sampling distributions. Use sample statistics to make inferences about population parameters based on a random sample from that population and to communicate conclusions using appropriate statistical language. 

LT: 

• I can differentiate between populations and samples

• I can determine if data is a parameter or a statistic

• I understand the different types of sample 

• I can identify types of studies and data collection methods

• I can categorize types of data

• I can identify sources of bias

• I can determine if a system of data collection is ethical and if it protects subject privacy

• I can determine if a data source is primary or secondary

 SC:

• I know that samples are subsets of the population

• I know that parameters describe populations

• I know that statistics describe samples

• I know the difference between random, stratified, cluster, convenience and systematic samples

• I know the difference between an observational study and an experiment

• I can describe the characteristics of a simulation, a census and a survey

• I can describe the difference between quantitative and qualitative data

• I can define bias and identify sources of bias in a data collection method

• I know that primary data sources are collected directly by the researcher

• I can describe the characteristics of a ethical and private data collection method

• I can identify the characteristics of an informed consent policy

Lesson/Activity: 

Engage: Esti-Mystery

Explore: Finish Notes and examples of vocabulary terms related to data collection and design

Apply: Week 1 Review

Reflect: Analysis of Week 1 Review Results

Resources: Week 1 Review