To guess is cheap. To guess wrongly is expensive. Ancient Chinese Proverb
|
|
|
- Joel Simon
- 5 years ago
- Views:
Transcription
1 Bellwork To guess is cheap. To guess wrongly is expensive. Ancient Chinese Proverb 1. How do scatterplots display trends? 2. Define a function. 3. Provide examples of scatterplots that are functions and scatterplots that are not functions. Identify the differences. 1
2 2 1 INTERPRET SCATTERPLOTS OBJECTIVES Graph bivariate data. Interpret trends based on scatterplots. Draw lines and curves of best fit. 2
3 Key Terms data univariate data bivariate data scatterplot trend correlation -any set of numbers -single set of numbers -a relationship between paired numbers -a general pattern -an association positive correlation negative correlation causal relationship -one variable caused a change in the other variable explanatory variable -the variable that caused the change response variable -the affected variable 3
4 Example 1 Rachael runs a concession stand at the park, where she sells water bottles. She keeps a list of each day s high temperature and the number of water bottles she sells each day. Rachael is looking for trends that relate the daily high temperature to the number of water bottles she sells each day. She thinks these two variables might be related and wants to investigate possible trends using a scatterplot. Below is the list of her ordered pairs. (65, 102), (71, 133), (79, 144), (80, 161), (86, 191), (86, 207), (91, 235), (95, 237), (100, 243) Construct a scatterplot by hand on graph paper. Then enter the data in a graphing calculator to create a scatterplot. Water Bottle Sales Temperature 4
5 CHECK YOUR UNDERSTANDING If the temperature reaches 68 degrees Fahrenheit tomorrow, about how many water bottles do you predict will be sold? Explain. Water Bottle Sales 5
6 Example 2 Rachael wants to interpret the trend shown in the scatterplot. What do you notice about the relationship between temperature and water bottle sales? Is there an explanatory variable and a response variable? 6
7 CHECK YOUR UNDERSTANDING A local coffee shop sells hot chocolate. The manager keeps track of the temperature for the entire year and the hot chocolate sales. A scatterplot is graphed with temperature on the horizontal axis and hot chocolate sales on the vertical axis. Do you think the scatterplot shows a positive or negative correlation? Is there causation? Explain. Hot Choclate Sales Temperature 7
8 EXAMPLE 3 Determine if the following scatterplot depicts a positive correlation or a negative correlation. 8
9 CHECK YOUR UNDERSTANDING A local medical school is studying growth of students in grades The height of each student in inches and the length of each student s foot in centimeters is recorded, and a scatterplot is constructed. Do you think the scatterplot shows a positive correlation or a negative correlation? Is there causation? Height Shoe Size 9
10 EXAMPLE 4 An elementary school principal compiled the following data about ten students at Compsett Elementary School. The first number represents a student s height in inches. The second number is the student s reading level. Create a scatterplot of the data. Do you think a person s height causes a higher reading level? 10
11 CHECK YOUR UNDERSTANDING Think of an example of data that might have a negative correlation but there is no causation. 11
12 EXAMPLE 5 The scatterplot shows the relationship between the number of text messages made by each of ten juniors while studying for Mr. Galati s chemistry test last week and their scores on the test. Describe the trends you see in the data. 12
13 CHECK YOUR UNDERSTANDING Students in a biology class measure the circumference and diameter of every tree on the school property. The students create a table of ordered pairs and plan to draw a scatterplot. Should there be a positive correlation, a negative correlation, or no correlation? 13
14 Homework: Page 68-69, #'s
INTERPRET SCATTERPLOTS
Chapter2 MODELING A BUSINESS 2.1: Interpret Scatterplots 2.2: Linear Regression 2.3: Supply and Demand 2.4: Fixed and Variable Expenses 2.5: Graphs of Expense and Revenue Functions 2.6: Breakeven Analysis
BIVARIATE DATA ANALYSIS
BIVARIATE DATA ANALYSIS Sometimes, statistical studies are done where data is collected on two variables instead of one in order to establish whether there is a relationship between the two variables.
8.SP.1 Hand span and height
8.SP.1 Hand span and height Task Do taller people tend to have bigger hands? To investigate this question, each student in your class should measure his or her hand span (in cm) and height (in inches).
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships 3.1 Scatterplots and Correlation The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Reading Quiz 3.1 True/False 1.
How Faithful is the Old Faithful? The Practice of Statistics, 5 th Edition 1
How Faithful is the Old Faithful? The Practice of Statistics, 5 th Edition 1 Who Has Been Eating My Cookies????????? Someone has been steeling the cookie I bought for your class A teacher from the highschool
Reminders/Comments. Thanks for the quick feedback I ll try to put HW up on Saturday and I ll you
Reminders/Comments Thanks for the quick feedback I ll try to put HW up on Saturday and I ll email you Final project will be assigned in the last week of class You ll have that week to do it Participation
Chapter 3 Review. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question.
Name: Class: Date: Chapter 3 Review Multiple Choice Identify the choice that best completes the statement or answers the question. Scenario 3-1 The height (in feet) and volume (in cubic feet) of usable
Unit 8 Day 1 Correlation Coefficients.notebook January 02, 2018
[a] Welcome Back! Please pick up a new packet Get a Chrome Book Complete the warm up Choose points on each graph and find the slope of the line. [b] Agenda 05 MIN Warm Up 25 MIN Notes Correlation 15 MIN
STATISTICS INFORMED DECISIONS USING DATA
STATISTICS INFORMED DECISIONS USING DATA Fifth Edition Chapter 4 Describing the Relation between Two Variables 4.1 Scatter Diagrams and Correlation Learning Objectives 1. Draw and interpret scatter diagrams
Sample Applied Skills Problems Grade 10 Math
Sample Applied Skills Problems Grade 10 Math Directions: Students are allowed to use a calculator and the ISTEP+ reference sheet on each problem. 1. Data Analysis A1.DS.2 2. Quadratic A1.QE.5 3. Pythagorean
Homework #3. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Homework #3 Name Due Due on on February Tuesday, Due on February 17th, Sept Friday 28th 17th, Friday SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Fill
Chapter 4: Scatterplots and Correlation
Chapter 4: Scatterplots and Correlation http://www.yorku.ca/nuri/econ2500/bps6e/ch4-links.pdf Correlation text exr 4.10 pg 108 Ch4-image Ch4 exercises: 4.1, 4.29, 4.39 Most interesting statistical data
Chapter 3: Examining Relationships
Name Date Per Key Vocabulary: response variable explanatory variable independent variable dependent variable scatterplot positive association negative association linear correlation r-value regression
Lecture 6B: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression
Lecture 6B: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression! Equation of Regression Line; Residuals! Effect of Explanatory/Response Roles! Unusual Observations! Sample
Chapter 3: Describing Relationships
Chapter 3: Describing Relationships Objectives: Students will: Construct and interpret a scatterplot for a set of bivariate data. Compute and interpret the correlation, r, between two variables. Demonstrate
Student s Companion Website for Assessment for Effective Teaching. Correlation 1
Correlation 1 One more major statistic is very useful in reporting and understanding reliability data and some kinds of validity evidence. This statistic is a measure of relationship--of correlation--between
SCATTER PLOTS AND TREND LINES
1 SCATTER PLOTS AND TREND LINES LEARNING MAP INFORMATION STANDARDS 8.SP.1 Construct and interpret scatter s for measurement to investigate patterns of between two quantities. Describe patterns such as
STT 200 Test 1 Green Give your answer in the scantron provided. Each question is worth 2 points.
STT 200 Test 1 Green Give your answer in the scantron provided. Each question is worth 2 points. For Questions 1 & 2: It is known that the distribution of starting salaries for MSU Education majors has
Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables
Chapter 3: Investigating associations between two variables Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables Extract from Study Design Key knowledge
Lesson Using Lines to Make Predictions
STTWY STUDENT HNDOUT STUDENT NME DTE INTRODUCTION Statistical methods are used in forensics to identify human remains based on the measurements of bones. In the 1950s, Dr. Mildred Trotter and Dr. Goldine
10. Introduction to Multivariate Relationships
10. Introduction to Multivariate Relationships Bivariate analyses are informative, but we usually need to take into account many variables. Many explanatory variables have an influence on any particular
Unit 8 Bivariate Data/ Scatterplots
Unit 8 Bivariate Data/ Scatterplots Oct 20 9:19 PM Scatterplots are used to determine if there is a relationship between two variables. /Correlation /Correlation /Correlation Line of best fit cuts the
ANALYZING BIVARIATE DATA
Analyzing bivariate data 1 ANALYZING BIVARIATE DATA Lesson 1: Creating frequency tables LESSON 1: OPENER There are two types of data: categorical and numerical. Numerical data provide numeric measures
Business Statistics Probability
Business Statistics The following was provided by Dr. Suzanne Delaney, and is a comprehensive review of Business Statistics. The workshop instructor will provide relevant examples during the Skills Assessment
STATS Relationships between variables: Correlation
STATS 1060 Relationships between variables: Correlation READINGS: Chapter 7 of your text book (DeVeaux, Vellman and Bock); on-line notes for correlation; on-line practice problems for correlation NOTICE:
CHAPTER ONE CORRELATION
CHAPTER ONE CORRELATION 1.0 Introduction The first chapter focuses on the nature of statistical data of correlation. The aim of the series of exercises is to ensure the students are able to use SPSS to
Lecture 12: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression
Lecture 12: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression Equation of Regression Line; Residuals Effect of Explanatory/Response Roles Unusual Observations Sample
Paper Airplanes & Scientific Methods
Paper Airplanes & Scientific Methods Scientific Inquiry refers to the many different ways in which scientists investigate the world. Scientific investigations are done to answer questions and solve problems.
Graphing Practice Worksheet
Graphing Practice Worksheet When to make a line graph? Line graphs show changes of information over a time period. For instance, if the US Department of Health wanted to look at the obesity rates in the
3. For a $5 lunch with a 55 cent ($0.55) tip, what is the value of the residual?
STATISTICS 216, SPRING 2006 Name: EXAM 1; February 21, 2006; 100 points. Instructions: Closed book. Closed notes. Calculator allowed. Double-sided exam. NO CELL PHONES. Multiple Choice (3pts each). Circle
AP STATISTICS 2010 SCORING GUIDELINES
AP STATISTICS 2010 SCORING GUIDELINES Question 1 Intent of Question The primary goals of this question were to assess students ability to (1) apply terminology related to designing experiments; (2) construct
AP Statistics Practice Test Ch. 3 and Previous
AP Statistics Practice Test Ch. 3 and Previous Name Date Use the following to answer questions 1 and 2: A researcher measures the height (in feet) and volume of usable lumber (in cubic feet) of 32 cherry
Math 075 Activities and Worksheets Book 2:
Math 075 Activities and Worksheets Book 2: Linear Regression Name: 1 Scatterplots Intro to Correlation Represent two numerical variables on a scatterplot and informally describe how the data points are
7) Use a place value chart to solve. Then, write your answer in standard form. 15 and 2 tenths 9 thousandths + 2 and 3 hundredths 2 thousandths =
Decimal Operations Addition Classwork Solve the following problems: PMI 5 th Grade, Unit 2 Decimal Computation 1) 65.24 + 72.11 = 4) 34.12 + 0.9 = 2) 8.29 + 0.31 = 5) 0.234 + 0.541 = 3) 159.34 + 2.64 =
Measures of Dispersion. Range. Variance. Standard deviation. Measures of Relationship. Range. Variance. Standard deviation.
Measures of Dispersion Range Variance Standard deviation Range The numerical difference between the highest and lowest scores in a distribution It describes the overall spread between the highest and lowest
Chapter 1 Where Do Data Come From?
Chapter 1 Where Do Data Come From? Understanding Data: The purpose of this class; to be able to read the newspaper and know what the heck they re talking about! To be able to go to the casino and know
Unit 3 Lesson 2 Investigation 4
Name: Investigation 4 ssociation and Causation Reports in the media often suggest that research has found a cause-and-effect relationship between two variables. For example, a newspaper article listed
Eating and Sleeping Habits of Different Countries
9.2 Analyzing Scatter Plots Now that we know how to draw scatter plots, we need to know how to interpret them. A scatter plot graph can give us lots of important information about how data sets are related
Correlational analysis: Pearson s r CHAPTER OVERVIEW
168 Correlational analysis: 6 Pearson s r CHAPTER OVERVIEW In the first five chapters we have given you the basic building blocks that you will need to understand the statistical analyses presented in
Chapter 1: Exploring Data
Chapter 1: Exploring Data Key Vocabulary:! individual! variable! frequency table! relative frequency table! distribution! pie chart! bar graph! two-way table! marginal distributions! conditional distributions!
Objectives. Data Collection 8/25/2017. Section 1-3. Identify the five basic sample techniques
Section 1-3 Objectives Identify the five basic sample techniques Data Collection In research, statisticians use data in many different ways. Data can be used to describe situations. Data can be collected
Welcome to OSA Training Statistics Part II
Welcome to OSA Training Statistics Part II Course Summary Using data about a population to draw graphs Frequency distribution and variability within populations Bell Curves: What are they and where do
Chapter 4. Navigating. Analysis. Data. through. Exploring Bivariate Data. Navigations Series. Grades 6 8. Important Mathematical Ideas.
Navigations Series Navigating through Analysis Data Grades 6 8 Chapter 4 Exploring Bivariate Data Important Mathematical Ideas Copyright 2009 by the National Council of Teachers of Mathematics, Inc. www.nctm.org.
statistics Collecting Data
Date: statistics Collecting Data Objective: Categorize data as qualitative or quantitative. (AS1) Determine whether the data to be analyzed is univariate or bivariate. (AS2) Determine when collected data
bivariate analysis: The statistical analysis of the relationship between two variables.
bivariate analysis: The statistical analysis of the relationship between two variables. cell frequency: The number of cases in a cell of a cross-tabulation (contingency table). chi-square (χ 2 ) test for
This means that the explanatory variable accounts for or predicts changes in the response variable.
Lecture Notes & Examples 3.1 Section 3.1 Scatterplots and Correlation (pp. 143-163) Most statistical studies examine data on more than one variable. We will continue to use tools we have already learned
Scatter Plots and Association
? LESSON 1.1 ESSENTIAL QUESTION Scatter Plots and Association How can you construct and interpret scatter plots? Measurement and data 8.11.A Construct a scatterplot and describe the observed data to address
Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points.
Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points. 1. The bell-shaped frequency curve is so common that if a population has this shape, the measurements are
Regression. Lelys Bravo de Guenni. April 24th, 2015
Regression Lelys Bravo de Guenni April 24th, 2015 Outline Regression Simple Linear Regression Prediction of an individual value Estimate Percentile Ranks Regression Simple Linear Regression The idea behind
STT315 Chapter 2: Methods for Describing Sets of Data - Part 2
Chapter 2.5 Interpreting Standard Deviation Chebyshev Theorem Empirical Rule Chebyshev Theorem says that for ANY shape of data distribution at least 3/4 of all data fall no farther from the mean than 2
AP Statistics. Semester One Review Part 1 Chapters 1-5
AP Statistics Semester One Review Part 1 Chapters 1-5 AP Statistics Topics Describing Data Producing Data Probability Statistical Inference Describing Data Ch 1: Describing Data: Graphically and Numerically
Biostatistics II
Biostatistics II 514-5509 Course Description: Modern multivariable statistical analysis based on the concept of generalized linear models. Includes linear, logistic, and Poisson regression, survival analysis,
The Jumping Dog Quadratic Activity
Standards: The Jumping Dog Quadratic Activity A2.4.1 Identify the family of function best suited for modeling a given real-world situation. A2.4.3 Using the adapted general symbolic form, draw reasonable
Algebra I 05/10/16 Aim: How Can We Determine if Two Events are Related to Each Other? HW#98: Correlation & Data Worksheet
Algebra I 05/10/16 DO NOW Given the following cumulative histogram: 1) Determine the total number of students in the class 2) Determine how many students scored higher than 70 3) State which two ten point
PSYCHOLOGY 300B (A01) One-sample t test. n = d = ρ 1 ρ 0 δ = d (n 1) d
PSYCHOLOGY 300B (A01) Assignment 3 January 4, 019 σ M = σ N z = M µ σ M d = M 1 M s p d = µ 1 µ 0 σ M = µ +σ M (z) Independent-samples t test One-sample t test n = δ δ = d n d d = µ 1 µ σ δ = d n n = δ
The Nature of Probability and Statistics
Chapter 1 The Nature of Probability and Statistics Chapter 1 Overview Introduction 1-1 Descriptive and Inferential Statistics 1-2 Variables and Types of Data 1-3 Data Collection & Sampling Techniques 1-4
MATH 2560 C F03 Elementary Statistics I LECTURE 6: Scatterplots (Continuation).
MATH 2560 C F03 Elementary Statistics I LECTURE 6: Scatterplots (Continuation). 1 Outline. adding categorical variables to scatterplots; more examples of scatterplots; categorical explanatory variables;
Math 081 W2010 Exam 1 Ch 4.4 to 4.6 V 01 Preparation Dressler. Name 6) Multiply. 1) ) ) )
Math 081 W2010 Exam 1 Ch 4.4 to 4.6 V 01 Preparation Dressler Name Multiply. 1) 0.170 2.4 6) 0.0089 8.6 2) 87.7 3.4 7) 0.07 0.03 8) 0.56 0.8 3) 0.0070 16.91 9) 0.0909 3.03 4) 0.05 0.2 10) 1478 0.67 11)
Readings: Textbook readings: OpenStax - Chapters 1 13 (emphasis on Chapter 12) Online readings: Appendix D, E & F
Readings: Textbook readings: OpenStax - Chapters 1 13 (emphasis on Chapter 12) Online readings: Appendix D, E & F Plous Chapters 17 & 18 Chapter 17: Social Influences Chapter 18: Group Judgments and Decisions
Chapter 3, Section 1 - Describing Relationships (Scatterplots and Correlation)
Chapter 3, Section 1 - Describing Relationships (Scatterplots and Correlation) Investigating relationships between variables is central to what we do in statistics. Why is it important to investigate and
Basic Concepts in Research and DATA Analysis
Basic Concepts in Research and DATA Analysis 1 Introduction: A Common Language for Researchers...2 Steps to Follow When Conducting Research...2 The Research Question...3 The Hypothesis...3 Defining the
Sturgeon Heights School Parent Fundraising Association. Roles and Responsibilities Handbook
1 Sturgeon Heights School Parent Fundraising Association Roles and Responsibilities Handbook Updated April 2018 Jocelyne Pare 2 PFA Roles and Responsibilities In an effort to enrich and support our children
Use understandings of angles and deductive reasoning to write and solve equations
Unit 4: Geometry 3rd 9 Weeks Suggested Instructional Days: 20 Unit Summary (Learning Target/Goal): Draw, construct, and describe geometrical figures and describe the relationships between them. Solve real-life
M 140 Test 1 A Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points Total 60
M 140 Test 1 A Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points 1-10 10 11 3 12 4 13 3 14 10 15 14 16 10 17 7 18 4 19 4 Total 60 Multiple choice questions (1 point each) For questions
TOBACCO AND ELECTRONIC SMOKING DEVICE SALES AND ACCESS ACT REGULATIONS
c t TOBACCO AND ELECTRONIC SMOKING DEVICE SALES AND ACCESS ACT REGULATIONS PLEASE NOTE This document, prepared by the Legislative Counsel Office, is an office consolidation of this regulation, current
A Concise Guide to Market
Marko Sarstedt Erik Mooi A Concise Guide to Market Research The Process, Data, and Methods Using IBM SPSS Statistics Second Edition 4^ Springer 1 Introduction to Market Research 1 1.1 Introduction 1 1.2
Cover Page Homework #9
Cover Page Homework #9 1. The number of observations needed to satisfy the court stipulations is: round-up! 2. Problem 14.24 (a) z = Problem 14.28 (a) The margin of error for this interval will be: (b)
Module 6: Tools and Resources Worksheet
Resource Database Ideas and Notes Success Stories Recipes Product Navigator Product Calculator Ideas and Notes Guidelines Wellness Categories and HSP Advisors HSP Champions 2 of 8 Login to www.schools.healthiergeneration.org
Lesson 1: Distributions and Their Shapes
Lesson 1 Name Date Lesson 1: Distributions and Their Shapes 1. Sam said that a typical flight delay for the sixty BigAir flights was approximately one hour. Do you agree? Why or why not? 2. Sam said that
STATISTICS AND RESEARCH DESIGN
Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have
Section 3.2 Least-Squares Regression
Section 3.2 Least-Squares Regression Linear relationships between two quantitative variables are pretty common and easy to understand. Correlation measures the direction and strength of these relationships.
Statistics for Psychology
Statistics for Psychology SIXTH EDITION CHAPTER 12 Prediction Prediction a major practical application of statistical methods: making predictions make informed (and precise) guesses about such things as
NAP Mate is a registered trademark of Mighty Minds Educational Systems Pty Ltd. Cairns State High School
NP Mate is a registered trademark of Mighty Minds Educational Systems Pty Ltd. airns State High School 1 Please note: any activity that is not completed during class time may be set for homework or undertaken
PSY 205 Module 3 Supplement. Comparing Correlation, Ex post facto, and Experimental Approaches to Research
PSY 205 Module 3 Supplement Comparing Correlation, Ex post facto, and Experimental Approaches to Research As you have seen in this module, there are many ways to do research in psychology. Now let s carefully
Bouncing Ball Lab. Name
Bouncing Ball Lab Name Scientists use an organized set of steps when they solve problems or perform investigations. This organized set of steps is called the Scientific Method. There are many versions
Statistical Methods and Reasoning for the Clinical Sciences
Statistical Methods and Reasoning for the Clinical Sciences Evidence-Based Practice Eiki B. Satake, PhD Contents Preface Introduction to Evidence-Based Statistics: Philosophical Foundation and Preliminaries
1SCIENTIFIC METHOD PART A. THE SCIENTIFIC METHOD
1SCIENTIFIC METHOD LEARNING OUTCOMES Upon successful completion of this lab, you will be able to: Describe the steps of the scientific method Formulate research questions, hypotheses, and predictions Design
Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo
Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 10, 11) Please note chapter
Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo
Business Statistics The following was provided by Dr. Suzanne Delaney, and is a comprehensive review of Business Statistics. The workshop instructor will provide relevant examples during the Skills Assessment
STATISTICS & PROBABILITY
STATISTICS & PROBABILITY LAWRENCE HIGH SCHOOL STATISTICS & PROBABILITY CURRICULUM MAP 2015-2016 Quarter 1 Unit 1 Collecting Data and Drawing Conclusions Unit 2 Summarizing Data Quarter 2 Unit 3 Randomness
Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo
Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 5, 6, 7, 8, 9 10 & 11)
2.4.1 STA-O Assessment 2
2.4.1 STA-O Assessment 2 Work all the problems and determine the correct answers. When you have completed the assessment, open the Assessment 2 activity and input your responses into the online grading
Expanded Protections Dining areas No smoking where food is served in outdoor dining areas of restaurants, cafes and coffee shops as of November 2010
Requirements for Multi-Unit Housing Complexes On April 24, 2010 a new ordinance (San Francisco Health Code Article 19F) that expanded protection from second hand smoke went into effect. The table below
Daily Agenda. Honors Statistics. 1. Check homework C4#9. 4. Discuss 4.3 concepts. Finish 4.2 concepts. March 28, 2017
Honors Statistics Aug 23-8:26 PM Daily Agenda 1. Check homework C4#9 Finish 4.2 concepts 4. Discuss 4.3 concepts Aug 23-8:31 PM 1 Apr 6-9:53 AM Nov 11-12:33 PM 2 Lack of BLINDING... The same person "experimenter"
7. Bivariate Graphing
1 7. Bivariate Graphing Video Link: https://www.youtube.com/watch?v=shzvkwwyguk&index=7&list=pl2fqhgedk7yyl1w9tgio8w pyftdumgc_j Section 7.1: Converting a Quantitative Explanatory Variable to Categorical
Economics 471 Lecture 1. Regression to Mediocrity: Galton s Study of the Inheritance of Height
University of Illinois Spring 2006 Department of Economics Roger Koenker Economics 471 Lecture 1 Regression to Mediocrity: Galton s Study of the Inheritance of Height Arguably, the most important statistical
ROC Curve. Brawijaya Professional Statistical Analysis BPSA MALANG Jl. Kertoasri 66 Malang (0341)
ROC Curve Brawijaya Professional Statistical Analysis BPSA MALANG Jl. Kertoasri 66 Malang (0341) 580342 ROC Curve The ROC Curve procedure provides a useful way to evaluate the performance of classification
Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14
Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14 Still important ideas Contrast the measurement of observable actions (and/or characteristics)
Lesson 11 Correlations
Lesson 11 Correlations Lesson Objectives All students will define key terms and explain the difference between correlations and experiments. All students should be able to analyse scattergrams using knowledge
Normal Distribution: Homework *
OpenStax-CNX module: m16978 1 Normal Distribution: Homework * Susan Dean Barbara Illowsky, Ph.D. This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 2.0 Exercise
CHAPTER 1 SAMPLING AND DATA
CHAPTER 1 SAMPLING AND DATA 1 In the first chapter we are introduced to several very important statistical terms and concepts. Warning: Notice that in the previous sentence, there is no mention of formulas
Lecture 9A Section 2.7. Wed, Sep 10, 2008
Lecture 9A Section 2.7 Hampden-Sydney College Wed, Sep 10, 2008 Outline 1 2 3 4 5 6 7 8 Exercise 2.23, p. 116 A class consists of 100 students. Suppose that we are interested in the heights of the people
Put Your Best Figure Forward: Line Graphs and Scattergrams
56:8 1229 1233 (2010) Clinical Chemistry Put Your Best Figure Forward: Line Graphs and Scattergrams Thomas M. Annesley * There is an old saying that a picture is worth a thousand words. In truth, only
Example An example is provided at the start of each exercise as a guide for students.
About This Book Writing meaningful sentences and building grammatically correct language structures are important pects of English learning. Good writing skills enable one to communicate effectively. 600
Psychology: The Science
Psychology: The Science How Psychologists Do Research Ex: While biking, it seems to me that drivers of pick up trucks aren t as nice as car drivers. I make a hypothesis or even develop a theory that p/u
Marshall County Schools Wellness Policy Procedures
Marshall County Schools Wellness Policy Procedures Procedure 5.19.P Nutrition Education Student in kindergarten through grade twelve will receive nutrition education that in interactive and teaches the
Investigating Osmosis Lab. Biology 12
Investigating Osmosis Lab In this lab, students will investigate the properties of osmosis using potato slices. Biology 12 Curriculum Connections: BC Chemistry 12 (2006) B2 - describe the characteristics
Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions
Readings: OpenStax Textbook - Chapters 1 5 (online) Appendix D & E (online) Plous - Chapters 1, 5, 6, 13 (online) Introductory comments Describe how familiarity with statistical methods can - be associated
Lecture 10: Chapter 5, Section 2 Relationships (Two Categorical Variables)
Lecture 10: Chapter 5, Section 2 Relationships (Two Categorical Variables) Two-Way Tables Summarizing and Displaying Comparing Proportions or Counts Confounding Variables Cengage Learning Elementary Statistics:
Lab 4 (M13) Objective: This lab will give you more practice exploring the shape of data, and in particular in breaking the data into two groups.
Lab 4 (M13) Objective: This lab will give you more practice exploring the shape of data, and in particular in breaking the data into two groups. Activity 1 Examining Data From Class Background Download