MATH 598: Statistics & Modeling for Teachers May 21, 2014.

Slides:



Advertisements
Similar presentations
MATH 7174: Workshop in Senior High Mathematics September 19, 2013.
Advertisements

Introduction to Statistics
Statistical Studies: Statistical Investigations
3.3 Toward Statistical Inference. What is statistical inference? Statistical inference is using a fact about a sample to estimate the truth about the.
Algebra 2 – Statistics Normal Distribution Unit 5
Today’s Agenda Review Homework #1 [not posted]
Part III: Inference Topic 6 Sampling and Sampling Distributions
Copyright ©2009 Cengage Learning 1.1 Day 3 What is Statistics?
1. An Overview of the Data Analysis and Probability Standard for School Mathematics? 2.
Jargon & Basic Concepts Howell Statistical Methods for Psychology.
Thinking Mathematically
Introduction In medicine, business, sports, science, and other fields, important decisions are based on statistical information drawn from samples. A sample.
Chapter 1:Statistics: The Art and Science of Learning from Data 1.1: How Can You Investigate Using Data? 1.2: We Learn about Populations Using Samples.
Section 1.1 Getting Started HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems, Inc. All rights.
Agresti/Franklin Statistics, 1 of 33 Chapter 1 Statistics: The Art and Science of Learning from Data Learn …. What Statistics Is Why Statistics Is Important.
Day 3: Sampling Distributions. CCSS.Math.Content.HSS-IC.A.1 Understand statistics as a process for making inferences about population parameters based.
MM150 Unit 8 Seminar. Probability (Unit 7) Statistics (Unit 8) : Gathering data; organizing data Statistics (Unit 9) : Analyzing data; making conclusions.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 1 Statistics: The Art and Science of Learning from Data Section 1.2 Sample Versus Population.
Warm-up Day of 1.0 to 1.2 Quiz These are the results of a Pre-calculus pretest. The blue marks are Block 2 and the red marks are Block 3. Make 3 observations.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 The information we gather with experiments and surveys is collectively called data Example:
What is Statistics? Chapter 0. What is Statistics? Statistics is the science (and art) of learning from data. Statistics is the study of variability.
Chapter 1: Getting Started Section 1: Essential question: What is statistics?
STATISTICS: The BIG Picture Jim Bohan Manheim Township School District pa.us.
Chapter 1 Introduction 1-1. Learning Objectives  To learn the basic definitions used in statistics and some of its key concepts.  To obtain an overview.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 1 Statistics: The Art and Science of Learning from Data Section 1.1 Using Data to Answer.
Intro to Probability and Statistics 1-1: How Can You Investigate Using Data? 1-2: We Learn about Populations Using Samples 1-3: What Role Do Computers.
Quantitative Methods for Business Studies
MATH 598: Statistics & Modeling for Teachers June 4, 2014
MATH 201: STATISTICS Chapters 1 & 2 : Elements of Statistics
MATH 7174: Statistics & Modeling for Teachers June 11, 2014
Probability and Statistics
Chapter 7: Sampling Distributions
Statistics – The science of collectiong, organizing, analyzing, and interpreting data in order to make decisions. Data – Consists of information coming.
Chapter Six Normal Curves and Sampling Probability Distributions
Common Core Math I Unit 6 One-Variable Statistics Introduction
Jargon & Basic Concepts
Common Core Math I Unit 6 One-Variable Statistics Introduction
Statistics Branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. Practice or science of.
Introduction (1.1) Data - Information collected by individuals and/or organizations to gain knowledge regarding a field or question of interest. Data Sources:
THE STAGES FOR STATISTICAL THINKING ARE:
Determine whether each situation calls for a survey, an experiment, or an observational study. Explain your reasoning. You want to find opinions on the.
Common Core Math I Unit 6 One-Variable Statistics Introduction
Introduction (1.1) Data - Information collected by individuals and/or organizations to gain knowledge regarding a field or question of interest. Data Sources:
In the previous lesson, you studied the randomness of various sampling populations.  If you wanted to know the average height of the trees in a forest,
Rethinking Junior Statistics
Probability and Statistics
Chapter 1 Statistics: The Art and Science of Learning from Data
Chapter 1 Why Study Statistics?
What is Statistics? Skill 01.
Chapter 7: Introduction to Sampling Distributions
Chapter 7: Sampling Distributions
Test Drop Rules: If not:
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 1 Why Study Statistics?
Chap. 1: Introduction to Statistics
Sampling Distributions
What is Statistics? Section 1.1.
The Practice of Statistics – For AP* STARNES, YATES, MOORE
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Chapter 7: Sampling Distributions
Mastery Assessment in Teaching Statistics
Presentation transcript:

MATH 598: Statistics & Modeling for Teachers May 21, 2014

◦ Pretest ◦ Big Idea Warm-up ◦ Introduction ◦ M&Ms Activity

◦ Find someone with whom you did not work last week. ◦ Spend 5 minutes discussing the following with your partner. Be prepared to summarize your discussion for the larger group:  Which of the concepts included in Big Idea 1 do your students seem to understand well?  Which of the concepts included in Big Idea 1 are more of a challenge for your students?

 Formulate a question  Gather data accordingly ◦ Design: plan on how to obtain data to answer the question of interest  Analyze data accordingly ◦ Description: summarize and analyze the data that are obtained  Interpret results to answer the question ◦ Inference: make decisions and predictions based on the data for answering the statistical questions, typically we want to do this for a larger group than those directly in the study

 What proportion of students at your school prefer country music over rap, rock, and oldies?

 We typically work with and observe samples but we are actually interested in populations  A population is the set of ALL the subjects of interest  In practice, we have data for only some of the subjects in the population  A sample is a subset of the population for whom we have (or plan to have) data, hopefully they are randomly selected  Occasionally, data are available for the entire population (e.g., Census)

 Descriptive statistics: methods for summarizing the collected data  Typically either a numeric summary (e.g., the mean) or a graph (e.g., a histogram)

 A parameter is a numerical summary of the population  A statistic is a numerical summary of the sample  For example, suppose you are interested in the average grades of students at LMU and you take a sample of students to work with ◦ What is the population of interest? ◦ What is the parameter of interest? ◦ What is the sample statistic you would use?

 What proportion of students at your school state that country music is their favorite instead of rap, rock, and oldies? ◦ What is the population? ◦ What is the population parameter of interest? ◦ How could you investigate the population parameter of interest? ◦ Since the value of the sample statistic will vary for each sample, how can you answer the question?

 Problem: How can we describe how the percentage of candies that are blue varies from one bag of M&Ms to another?

Get into groups of 2. Spend a few minutes discussing answers to the following questions. 1. What is the specific question that needs to be addressed in the investigation? 2. How does this question relate to the background information at the beginning of the activity? Be sure to use some of the review terms in your answer. 3. What is the population of interest in the investigation? 4. What is the population parameter of interest in the investigation? 5. Why can we not realistically calculate the population parameter of interest directly? 6. How could the concept of random sampling be used to investigate the population parameter of interest?

 Each person will be given M&M bags.  Record the number of blue M&Ms and the total M&Ms in the bag for each of the bags.  Follow the activity sheet.

What are the important take-away ideas from this task?

How might you extend this activity to build students’ understanding of sampling distributions?

 Which GAISE level is the M&Ms Activity?  Which Common Core content standards are addressed in the M&Ms Activity?  Which Common Core mathematical practice standards are addressed in the M&Ms Activity?

 Take time to answer the set of in-class problems

 Bring your laptop to class.  HW 2: Valentines Day Marbles ◦ Keep in mind that your work will be scored and returned to you. So, please write out complete answers. In other words, answer the questions in the manner that you would hope your students would. ◦ You should work alone. ◦ Be prepared to share your answers with the rest of the class.  Read Big Idea 4 from 6-8 DEU