1. An Overview of the Data Analysis and Probability Standard for School Mathematics? 2.

Slides:



Advertisements
Similar presentations
Forecasting Using the Simple Linear Regression Model and Correlation
Advertisements

College and Career-Readiness Conference Summer 2014 FOR HIGH SCHOOL MATHEMATICS TEACHERS.
Probabilistic & Statistical Techniques Eng. Tamer Eshtawi First Semester Eng. Tamer Eshtawi First Semester
Algebra 2 – Statistics Normal Distribution Unit 5
Research Design After: finding an interesting research question; finding an interesting research question; reviewing the literature on the topic area;
Chapter 19 Data Analysis Overview
Sampling and Sampling Distribution.  Teacher Leader Academy  Basil Conway IV  Beauregard High School  AP Statistics  Auburn University  Colorado.
Number and Operations Standard Instructional programs from prekindergarten through grade 12 should enable all students to— Understand numbers Understand.
Testing Bridge Lengths The Gadsden Group. Goals and Objectives Collect and express data in the form of tables and graphs Look for patterns to make predictions.
© 2000 Prentice-Hall, Inc. Chap Forecasting Using the Simple Linear Regression Model and Correlation.
Dr. Derek Webb Dr. Heidi Hansen Bemidji State University Faculty.bemidjistate.edu/dwebb.
Alok Srivastava Chapter 2 Describing Data: Graphs and Tables Basic Concepts Frequency Tables and Histograms Bar and Pie Charts Scatter Plots Time Series.
1 New York State Mathematics Core Curriculum 2005.
Number Sense, Concepts, and Operations –Standard 1: The student understands the different ways numbers are represented and used in the real world. –Standard.
Chapter 2: The Research Enterprise in Psychology
Exam Review January 2013 (Preparing for the AP Exam) AP Statistics.
1. An Overview of the Problem Solving Standard for School Mathematics? 2.
Plug & Play Middle School Common Core Statistics and Probability using TinkerPlots.
Mathematical Processes GLE  I can recognize which symbol correlates with the correct term.  I can recall the correct definition for each mathematical.
1 Least squares procedure Inference for least squares lines Simple Linear Regression.
6.1 What is Statistics? Definition: Statistics – science of collecting, analyzing, and interpreting data in such a way that the conclusions can be objectively.
Copyright © Allyn & Bacon 2007 Chapter 2: Research Methods.
Analyzing Reliability and Validity in Outcomes Assessment (Part 1) Robert W. Lingard and Deborah K. van Alphen California State University, Northridge.
Welcome to Common Core High School Mathematics Leadership
Education 793 Class Notes Welcome! 3 September 2003.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved Lecture Slides Elementary Statistics Eleventh Edition and the Triola.
Language Objective: Students will be able to practice agreeing and disagreeing with partner or small group, interpret and discuss illustrations, identify.
Wednesday, May 13, 2015 Report at 11:30 to Prairieview.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Lecture Slides Elementary Statistics Tenth Edition and the.
Statistical Methods Statistical Methods Descriptive Inferential
Chapter 21 Basic Statistics.
PCB 3043L - General Ecology Data Analysis. OUTLINE Organizing an ecological study Basic sampling terminology Statistical analysis of data –Why use statistics?
Overview of CCSS Statistics and Probability Math Alliance September 2011.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
Introductory Statistics. Learning Objectives l Distinguish between different data types l Evaluate the central tendency of realistic business data l Evaluate.
Lesson 4. Statistics – Displaying Data There are various ways of displaying data collected from a survey. Graphs are a visual representation of data that.
Topic: Quadratics and Complex Numbers Grade: 10 Key Learning(s): Analyzes the graphs of and solves quadratic equations and inequalities by factoring, taking.
Exam Review Day 6 Chapters 2 and 3 Statistics of One Variable and Statistics of Two Variable.
Engineering Statistics KANCHALA SUDTACHAT. Statistics  Deals with  Collection  Presentation  Analysis and use of data to make decision  Solve problems.
National Council of Teachers of Mathematics Principles and Standards for grades pre-K-2.
Review Lecture 51 Tue, Dec 13, Chapter 1 Sections 1.1 – 1.4. Sections 1.1 – 1.4. Be familiar with the language and principles of hypothesis testing.
1 Commissioned by PAMSA and German Technical Co-Operation National Certificate in Paper & Pulp Manufacturing NQF Level 4 Apply knowledge of statistics.
JOURNAL Which event was most interesting for your birth year? Why are the numbers in these events important? What event was most surprising to you?
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 12 More About Regression 12.1 Inference for.
Qualitative Literacy Series E. Van Harken MED /9/15.
1 UNIT 13: DATA ANALYSIS. 2 A. Editing, Coding and Computer Entry Editing in field i.e after completion of each interview/questionnaire. Editing again.
Data Analysis, Statistics and Probability CHAPTER 17 Tina Rye Sloan To accompany Helping Children Learn Math10e, Reys et al. ©2012 John Wiley & Sons.
Statistics with TI-Nspire™ Technology Module E Lesson 1: Elementary concepts.
Chapter 1 Introduction to Statistics. Section 1.1 Fundamental Statistical Concepts.
1. An Overview of the Number and Operations Standard for School Mathematics? 2.
Circle Graphs 3.1b Read, interpret, and draw conclusions from data displays. 3.3a Evaluate arguments that are based on data displays.
An Overview of the Communications Standard for School Mathematics? 1.
1 Collecting and Interpreting Quantitative Data Deborah K. van Alphen and Robert W. Lingard California State University, Northridge.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 12 More About Regression 12.1 Inference for.
Sampling Distributions Chapter 18. Sampling Distributions A parameter is a number that describes the population. In statistical practice, the value of.
Howard Community College
Thursday, May 12, 2016 Report at 11:30 to Prairieview
Chapter 4 Basic Estimation Techniques
Review 1. Describing variables.
Inference for Regression
PCB 3043L - General Ecology Data Analysis.
Chapter Six Normal Curves and Sampling Probability Distributions
Unit 6 Probability.
Chapter 2 Describing Data: Graphs and Tables
The Nature of Probability and Statistics
Displaying Data – Charts & Graphs
(-4)*(-7)= Agenda Bell Ringer Bell Ringer
Algebra 1 Institute Overview
Data Analysis and Probability
Presentation transcript:

1

An Overview of the Data Analysis and Probability Standard for School Mathematics? 2

3 Instructional programs from prekindergarten through grade 12 should enable all students to— Data Analysis and Probability Standard Formulate questions that can be addressed with data and collect, organize, and display relevant data to answer them; Select and use appropriate statistical methods to analyze data; Develop and evaluate inferences and predictions that are based on data; Understand and apply basic concepts of probability.

4 Data Analysis and Probability Standard for Grades 6 – 8.

5 Formulate questions that can be addressed with data and collect, organize, and display relevant data to answer them. Students should be able to compare characteristics within a population and between populations; Students should become proficient in collecting data from relevant resources; Students should learn to use frequency bar graphs and histograms to represent data.

6 Select and use appropriate statistical methods to analyze data. Students should become proficient at using measures of central tendency; Students need to think about measures of center in relation to the spread of distribution; Students should consider how well different graphs represent important characteristics of data sets.

7 Develop and evaluate inferences and predictions that are based on data. When students collect and represent data they should be driven by a desire to answer questions on the basis of the data; Students should become proficient in the use of two variable scatter plots with linear relations; Students should use technology in developint and evaluating data.

8 Understand and apply basic concepts of probability. Students should use appropriate terminology in their discussions of chance and probability to make predictions and conjectures; Students should be able to use basic notions of chance and some basic knowledge of number theory; Teachers can help students relate probability to their work with data and analysis.; Students should work with both actual experiences and computer simulations in developing data sets.

9 Data Analysis and Probability Standard for Grades 9 – 12.

10 Formulate questions that can be addressed with data and collect, organize, and display relevant data to answer them. Students should design surveys, observational studies, and experiments that reduce bias and randomize sampling; Students should understand the differences among various kinds of studies and which types of inferences may be drawn from each; Students should understand the basic ways to display data.

11 Select and use appropriate statistical methods to analyze data. When students be able to calculate summary data; Students should be able to determine regression coefficients, regression equations, and correlation coefficients using technological tools; Recognize how linear transformations of univariate data affect shape, center, and spread.

12 Develop and evaluate inferences and predictions that are based on data. Students should sue simulations to explore variability of sample statistics and construct sampling distributions; Students should understand how sample statistics reflect the values of population parameters; Students should evaluate published reports that are based on data by examining the design, the appropriateness, and validity of conclusions; Students should understand how statistical techniques are used to monitor process in the workplace.

13 Understand and apply basic concepts of probability. When students understand the concepts of sample space and probability distribution and construct sample spaces and distributions in simple cases; Students should use simulations to construct empirical probability distributions; Students should understand the concepts of conditional probability and independent events; Students should understand how to compute the probability of a compound event.

14 Working in groups (7-8, 9-10 and 11-12), develop a lesson for students in that band width that will illustrate at least one of the bullets in the Data Analysis and Probability Standard. We will leave time at the end of the period to present your ideas. Use the format that we have been working with in this class. Pick a topic and develop the way in which you will present it so that at least one of the bullets is used. You are also expected to use bullets from the process standards.

15 Assignment Prepare for your last practice teaching.