Section 1: Exploring Data
|
|
|
- Gavin Wilkinson
- 5 years ago
- Views:
Transcription
1 Section 1: Exploring Data The following maps the videos in this section to the Texas Essential Knowledge and Skills for Mathematics TAC (c) Introduction to Statistics 1.02 Statistics and Parameters Statistics (2)(D) 1.03 Categorical and Quantiative Data Statistics (4)(A) Note: Unless stated otherwise, any sample data is fictitious and used solely for the purpose of instruction. Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 1
2 1.01 Introduction to Statistics Statistics the science of the collection, classification, analysis, and interpretation of data Why learn statistics? To make inferences (i.e., draw conclusions) about a large population based on information contained within a small random sample To learn how to correctly interpret what is presented by the media in the news,, journals, print, etc. The study of statistics is typically divided into descriptive statistics and inferential statistics. Descriptive statistics organizes and summarizes data Data systematic recorded information on a single variable or multiple variables Inferential statistics is used to make informed conclusions about populations The two main topics we will discuss in inferential statistics are hypothesis testing and confidence intervals. Identify the appropriate branch of statistics in the following situations: 1. In the season, the Texas Longhorns men s basketball team averaged 67 points per game. A. Descriptive Statistics B. Inferential Statistics 2. Suppose that out of 100 randomly selected males born in 2008 in the United States, 10 were named Edward. Thus, 10% of all males born in the United States in 2008 are named Edward. A. Descriptive Statistics B. Inferential Statistics Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 2
3 1.02 Statistics and Parameters Parameter a numeric value that summarizes a population Typically an unknown value Fixed value Statistic a numeric value that summarizes a sample Varies by sample Is used to estimate and make inferences about parameters Mean Proportion Standard Deviation Variance Parameter Statistic 1. What does a mean describe? 2. When are proportions used? 3. What do the standard deviation and variance measure? Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 3
4 4. A standard can of soda contains 12 ounces. Due to the precision of the machinery that fills cans of soda, the amount of soda varies by a standard deviation of 0.1 ounces. Suppose a quality-control engineer randomly samples 100 cans of soda and determines their average weight is 12.3 ounces with a standard deviation of 0.12 ounces. i. Identify the population of interest. ii. Identify the sample. iii. Identify the variable of interest. iv. Identify the parameter of interest. v. Identify the statistic of interest. Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 4
5 5. We want to estimate the proportion of United States citizens who plan to vote in the next presidential election. Suppose the results of a recent survey of 1,000 United States citizens is shown below. Will vote in the next presidential election 600 Will not vote in the next presidential election 400 i. Identify the population of interest. ii. Identify the sample. iii. Identify the variable of interest. iv. Identify the parameter of interest. v. Identify the statistic of interest. Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 5
6 1.03 Categorical and Quantitative Data Data systematic recorded information Data is classified into two main groups: 1. (or qualitative) Data described with the use of categories or words Display this type of data using frequency tables, bar charts, and pie charts Examples: a student s major, a person s favorite brand of clothes 2. (or numeric) Data described with the use of numbers Display this type of data using histograms, stem and leaf plots, and box plots Used to describe the center, shape, and spread of data Examples: time to complete a test, distance a person travels, a person s height in inches, the number of classes a student takes Quantitative data is divided into two subcategories: has a countable or finite number of outcomes. Examples: number of classes a student takes or number of pens in a classmate s school bag has an infinite number of values within an interval. Examples: time a person travels to a destination, distance a person travels to a destination, weight of a person 1. Suppose you randomly sample 100 students and record the following variables. Label each variable as either categorical, quantitative discrete, or quantitative continuous. Type Variables Measurement Age Student s class year Amount of money spent per student at the dining hall Years Freshman Sophomore Junior Senior Dollars Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 6
7 Classify each variable as categorical, quantitative discrete, or quantitative continuous. Justify your answer. 2. The length of time it takes for a sinus-relief medicine to have an effect A. Categorical B. Quantitative discrete C. Quantitative continuous 3. The number of raisins in a cookie A. Categorical B. Quantitative discrete C. Quantitative continuous 4. The overall satisfaction rating (1 through 5) of an overnight hotel stay A. Categorical B. Quantitative discrete C. Quantitative continuous Copyright 2017 Licensed and Authorized for Use Only by Texas Education Agency 7
Slide 1 - Introduction to Statistics Tutorial: An Overview Slide notes
Slide 1 - Introduction to Statistics Tutorial: An Overview Introduction to Statistics Tutorial: An Overview. This tutorial is the first in a series of several tutorials that introduce probability and statistics.
WDHS Curriculum Map Probability and Statistics. What is Statistics and how does it relate to you?
WDHS Curriculum Map Probability and Statistics Time Interval/ Unit 1: Introduction to Statistics 1.1-1.3 2 weeks S-IC-1: Understand statistics as a process for making inferences about population parameters
Statistics. Nur Hidayanto PSP English Education Dept. SStatistics/Nur Hidayanto PSP/PBI
Statistics Nur Hidayanto PSP English Education Dept. RESEARCH STATISTICS WHAT S THE RELATIONSHIP? RESEARCH RESEARCH positivistic Prepositivistic Postpositivistic Data Initial Observation (research Question)
Chapter 1. Picturing Distributions with Graphs
Chapter 1 Picturing Distributions with Graphs Statistics Statistics is a science that involves the extraction of information from numerical data obtained during an experiment or from a sample. It involves
Probability and Statistics. Chapter 1
Probability and Statistics Chapter 1 Individuals and Variables Individuals and Variables Individuals are objects described by data. Individuals and Variables Individuals are objects described by data.
Class 1. b. Sampling a total of 100 Californians, where individuals are randomly selected from each major ethnic group.
What you need to know: Class 1 Sampling Study design The goal and importance of sampling methods Bias Sampling frame Volunteer sample Convenience sample Systematic sample Volunteer response Non-response
The random variable must be a numeric measure resulting from the outcome of a random experiment.
Now we will define, discuss, and apply random variables. This will utilize and expand upon what we have already learned about probability and will be the foundation of the bridge between probability and
Chapter 1: Data Collection Pearson Prentice Hall. All rights reserved
Chapter 1: Data Collection 2010 Pearson Prentice Hall. All rights reserved 1-1 Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer
Test Bank for Privitera, Statistics for the Behavioral Sciences
1. The use of tables and graphs to summarize data is an example of A) inferential statistics B) interpretation C) descriptive statistics D) generalization 2. Statistical analysis allows researchers to
Section I: Multiple Choice Select the best answer for each question.
Chapter 1 AP Statistics Practice Test (TPS- 4 p78) Section I: Multiple Choice Select the best answer for each question. 1. You record the age, marital status, and earned income of a sample of 1463 women.
UF#Stats#Club#STA#2023#Exam#1#Review#Packet# #Fall#2013#
UF#Stats#Club#STA##Exam##Review#Packet# #Fall## The following data consists of the scores the Gators basketball team scored during the 8 games played in the - season. 84 74 66 58 79 8 7 64 8 6 78 79 77
Frequency Distributions
Frequency Distributions In this section, we look at ways to organize data in order to make it user friendly. We begin by presenting two data sets, from which, because of how the data is presented, it is
Chapter 1 Overview. Created by Tom Wegleitner, Centreville, Virginia. Copyright 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley.
Chapter 1 Overview Created by Tom Wegleitner, Centreville, Virginia Slide 1 11 Statistics Overview Slide 2 A. Statistics is the science of conducting studies to: Collect Organize Summarize Analyze Draw
full file at
Chapter 01 What Is Statistics? True / False Questions 1. A population is a collection of all individuals, objects, or measurements of interest. True False 2. Statistics are used as a basis for making decisions.
Test 1C AP Statistics Name:
Test 1C AP Statistics Name: Part 1: Multiple Choice. Circle the letter corresponding to the best answer. 1. At the beginning of the school year, a high-school teacher asks every student in her classes
Population. Sample. AP Statistics Notes for Chapter 1 Section 1.0 Making Sense of Data. Statistics: Data Analysis:
Section 1.0 Making Sense of Data Statistics: Data Analysis: Individuals objects described by a set of data Variable any characteristic of an individual Categorical Variable places an individual into one
HW 1 - Bus Stat. Student:
HW 1 - Bus Stat Student: 1. An identification of police officers by rank would represent a(n) level of measurement. A. Nominative C. Interval D. Ratio 2. A(n) variable is a qualitative variable such that
Lesson 1: Distributions and Their Shapes
Lesson 1 Lesson 1: Distributions and Their Shapes Classwork Statistics is all about data Without data to talk about or to analyze or to question, statistics would not exist There is a story to be uncovered
Ch 1.1 & 1.2 Basic Definitions for Statistics
Ch 1.1 & 1.2 Basic Definitions for Statistics Objective A : Basic Definition A1. Definition What is Statistics? Statistics is the science of collecting, organizing, summarizing, and analyzing data to draw
Frequency Distributions
Frequency Distributions In this section, we look at ways to organize data in order to make it more user friendly. It is difficult to obtain any meaningful information from the data as presented in the
Test 1 Version A STAT 3090 Spring 2018
Multiple Choice: (Questions 1 20) Answer the following questions on the scantron provided using a #2 pencil. Bubble the response that best answers the question. Each multiple choice correct response is
Chapter 01 What Is Statistics?
Chapter 01 What Is Statistics? True / False Questions 1. A population is a collection of all individuals, objects, or measurements of interest. 2. Statistics are used as a basis for making decisions. 3.
Variable Measurement, Norms & Differences
Variable Measurement, Norms & Differences 1 Expectations Begins with hypothesis (general concept) or question Create specific, testable prediction Prediction can specify relation or group differences Different
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
Statistics are commonly used in most fields of study and are regularly seen in newspapers, on television, and in professional work.
I. Introduction and Data Collection A. Introduction to Statistics In this section Basic Statistical Terminology Branches of Statistics Types of Studies Types of Data Levels of Measurement 1. Basic Statistical
Unit 1 Exploring and Understanding Data
Unit 1 Exploring and Understanding Data Area Principle Bar Chart Boxplot Conditional Distribution Dotplot Empirical Rule Five Number Summary Frequency Distribution Frequency Polygon Histogram Interquartile
Data Collection. MATH 130, Elements of Statistics I. J. Robert Buchanan. Fall Department of Mathematics
Data Collection MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2018 Big Definition Statistics is the science of collecting, organizing, summarizing, and analyzing
q2_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
q2_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. A sporting goods retailer conducted a customer survey to determine its customers primary reason
Two Branches Of Statistics
Stats 95 Two Branches Of Statistics Descriptive Organize Summarize Communicate a body of observed data Describe a Population or a Sample Inferential Using sample data to make estimates of the rest of the
Basic Statistical Concepts, Research Design, & Notation
, Research Design, & Notation Variables, Scores, & Data A variable is a characteristic or condition that can change or take on different values. Most research begins with a general question about the relationship
Introduction to Statistics
Introduction to Statistics Parameter: measurable characteristic of a population. Population: all members of a definable group. For statistical purposes a population must have definable characteristics
Review Questions Part 2 (MP 4 and 5) College Statistics. 1. Identify each of the following variables as qualitative or quantitative:
Review Questions Part 2 (MP 4 and 5) College Statistics Name: 1. Identify each of the following variables as qualitative or quantitative: (a) number of pets in family (b) County of residence (c) Choice
Understandable Statistics
Understandable Statistics correlated to the Advanced Placement Program Course Description for Statistics Prepared for Alabama CC2 6/2003 2003 Understandable Statistics 2003 correlated to the Advanced Placement
Biostatistics for Med Students. Lecture 1
Biostatistics for Med Students Lecture 1 John J. Chen, Ph.D. Professor & Director of Biostatistics Core UH JABSOM JABSOM MD7 February 14, 2018 Lecture note: http://biostat.jabsom.hawaii.edu/education/training.html
PRINTABLE VERSION. Quiz 1. True or False: The amount of rainfall in your state last month is an example of continuous data.
Question 1 PRINTABLE VERSION Quiz 1 True or False: The amount of rainfall in your state last month is an example of continuous data. a) True b) False Question 2 True or False: The standard deviation is
Introduction to Statistical Data Analysis I
Introduction to Statistical Data Analysis I JULY 2011 Afsaneh Yazdani Preface What is Statistics? Preface What is Statistics? Science of: designing studies or experiments, collecting data Summarizing/modeling/analyzing
STOR 155 Section 2 Midterm Exam 1 (9/29/09)
STOR 155 Section 2 Midterm Exam 1 (9/29/09) Name: PID: Instructions: Both the exam and the bubble sheet will be collected. On the bubble sheet, print your name and ID number, sign the honor pledge, also
10/4/2007 MATH 171 Name: Dr. Lunsford Test Points Possible
Pledge: 10/4/2007 MATH 171 Name: Dr. Lunsford Test 1 100 Points Possible I. Short Answer and Multiple Choice. (36 points total) 1. Circle all of the items below that are measures of center of a distribution:
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!
PRINCIPLES OF STATISTICS
PRINCIPLES OF STATISTICS STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis
SPRING GROVE AREA SCHOOL DISTRICT. Course Description. Instructional Strategies, Learning Practices, Activities, and Experiences.
SPRING GROVE AREA SCHOOL DISTRICT PLANNED COURSE OVERVIEW Course Title: Basic Introductory Statistics Grade Level(s): 11-12 Units of Credit: 1 Classification: Elective Length of Course: 30 cycles Periods
Stats 95. Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures
Stats 95 Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures Stats 95 Why Stats? 200 countries over 200 years http://www.youtube.com/watch?v=jbksrlysojo
Choosing a Significance Test. Student Resource Sheet
Choosing a Significance Test Student Resource Sheet Choosing Your Test Choosing an appropriate type of significance test is a very important consideration in analyzing data. If an inappropriate test is
Lecture 1 An introduction to statistics in Ichthyology and Fisheries Science
Lecture 1 An introduction to statistics in Ichthyology and Fisheries Science What is statistics and why do we need it? Statistics attempts to make inferences about unknown values that are common to a population
MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION
MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION Variables In the social sciences data are the observed and/or measured characteristics of individuals and groups
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 - The Nature of Probability and Statistics
1. Statistics is the science of conducting studies to A) solve a system of equations. B) hypothesize, experiment, and form conclusions. C) collect, organize, summarize, analyze, and draw conclusions from
AP Stats Review for Midterm
AP Stats Review for Midterm NAME: Format: 10% of final grade. There will be 20 multiple-choice questions and 3 free response questions. The multiple-choice questions will be worth 2 points each and the
Math 2200 First Mid-Term Exam September 22, 2010
Math 2200 First Mid-Term Exam September 22, 2010 This exam has 25 questions of 4 points each. All answers have been rounded-off so if your calculated answer differs from the given options slightly, choose
Statistical Methods Exam I Review
Statistical Methods Exam I Review Professor: Dr. Kathleen Suchora SI Leader: Camila M. DISCLAIMER: I have created this review sheet to supplement your studies for your first exam. I am a student here at
Chapter Three in-class Exercises. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Name Chapter Three in-class Exercises MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) The table below lists the populations, in thousands, of several
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Statistics Final Review Semeter I Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) The Centers for Disease
Unit 7 Comparisons and Relationships
Unit 7 Comparisons and Relationships Objectives: To understand the distinction between making a comparison and describing a relationship To select appropriate graphical displays for making comparisons
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
A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. s Sample Standard Deviation
7.1 Margins of Error and Estimates What is estimation? A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. Population Parameter Sample
UNIT V: Analysis of Non-numerical and Numerical Data SWK 330 Kimberly Baker-Abrams. In qualitative research: Grounded Theory
UNIT V: Analysis of Non-numerical and Numerical Data SWK 330 Kimberly Baker-Abrams In qualitative research: analysis is on going (occurs as data is gathered) must be careful not to draw conclusions before
Introduction to Statistics
Introduction to Statistics Topics 1-5 Nellie Hedrick Statistics Statistics is the Study of Data, it is science of reasoning from data. What does it mean by the term data? You will find that data vary and
What Is Statistics. Chapter 1
What Is Statistics Chapter 1 Learning Objectives Explain why we study statistics. Explain what is meant by descriptive statistics and inferential statistics. Distinguish between a quantitative variable
What you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu
What you should know before you collect data BAE 815 (Fall 2017) Dr. Zifei Liu Zifeiliu@ksu.edu Types and levels of study Descriptive statistics Inferential statistics How to choose a statistical test
DISCRETE RANDOM VARIABLES: REVIEW
DISCRETE RANDOM VARIABLES: REVIEW Questions 1 2 refer to the following: A recent poll concerning credit cards found that 35 percent of respondents use a credit card that gives them a mile of air travel
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
A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. s Sample Standard Deviation
7.1 Margins of Error and Estimates What is estimation? A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. Population Parameter Sample
What Is Statistics. Learning Objectives. Definition. Who Uses Statistics? 12/9/2015
Learning Objectives What Is Statistics Chapter 1 Explain why we study statistics. Explain what is meant by descriptive statistics and inferential statistics. Distinguish between a quantitative variable
Medical Statistics 1. Basic Concepts Farhad Pishgar. Defining the data. Alive after 6 months?
Medical Statistics 1 Basic Concepts Farhad Pishgar Defining the data Population and samples Except when a full census is taken, we collect data on a sample from a much larger group called the population.
V. Gathering and Exploring Data
V. Gathering and Exploring Data With the language of probability in our vocabulary, we re now ready to talk about sampling and analyzing data. Data Analysis We can divide statistical methods into roughly
NORTH SOUTH UNIVERSITY TUTORIAL 1
NORTH SOUTH UNIVERSITY TUTORIAL 1 REVIEW FROM BIOSTATISTICS I AHMED HOSSAIN,PhD Data Management and Analysis AHMED HOSSAIN,PhD - Data Management and Analysis 1 DATA TYPES/ MEASUREMENT SCALES Categorical:
Introduction: Statistics, Data and Statistical Thinking Part II
Introduction: Statistics, Data and Statistical Thinking Part II FREC/STAT 608 Dr. Tom Ilvento Department of Food and Resource Economics Let s Continue with our introduction We need terms and definitions
Lecture Outline. Biost 517 Applied Biostatistics I. Purpose of Descriptive Statistics. Purpose of Descriptive Statistics
Biost 517 Applied Biostatistics I Scott S. Emerson, M.D., Ph.D. Professor of Biostatistics University of Washington Lecture 3: Overview of Descriptive Statistics October 3, 2005 Lecture Outline Purpose
Types of Variables. Chapter Introduction. 3.2 Measurement
Contents 3 Types of Variables 61 3.1 Introduction............................ 61 3.2 Measurement........................... 61 3.2.1 Nominal Scale of Measurement.............. 62 3.2.2 Ordinal Scale of
Chapter 1: The Nature of Probability and Statistics
Chapter 1: The Nature of Probability and Statistics Diana Pell Section 1.1: Descriptive and Inferential Statistics Statistics is the science of conducting studies to collect, organize, summarize, analyze,
Introduction to Biostatics.
Introduction to Biostatics. Shahzad Bashir RN, BScN. 1 ELEMENTARY STATISTICS MARIO F. TRIOLA EIGHTH EDITION 2 ELEMENTARY STATISTICS Chapter 1 Introduction to Statistics MARIO F. TRIOLA EIGHTH EDITION 3
Introduction to biostatistics & Levels of measurement
Introduction to biostatistics & Levels of measurement Objectives: Definition of statistics and biostatistics To understand different Levels of measurements To understand different Types of data To use
PubHlth Introductory Biostatistics Fall 2011 Examination 1 Due Monday October 31, 2011
PubHlth 540 2011 Exam I Page 1 of 13 PubHlth 540 - Introductory Biostatistics Fall 2011 Examination 1 Due Monday October 31, 2011 Before you begin: This is a take-home exam. You are welcome to use any
INTRODUCTION TO STATISTICS SORANA D. BOLBOACĂ
INTRODUCTION TO STATISTICS SORANA D. BOLBOACĂ OBJECTIVES Definitions Stages of Scientific Knowledge Quantification and Accuracy Types of Medical Data Population and sample Sampling methods DEFINITIONS
Variables and Scale Measurement (Revisited) Lulu Eva Rakhmilla, dr., M.KM Epidemiology and Biostatistics 2013
Variables and Scale Measurement (Revisited) Lulu Eva Rakhmilla, dr., M.KM Epidemiology and Biostatistics 2013 The Research Process Selecting research area Report writing Formulating research questions
Table 1: One Year Net Survival Rates for All Cancers Excluding Non-Melanoma Skin Cancer:
Task 1: Draw a bar chart of the following data. All the data must be on one graph. The data shows yearly survival rates for all types of cancers combined (except non-melanoma skin cancer). Hint: Each period
Statistics: A Brief Overview Part I. Katherine Shaver, M.S. Biostatistician Carilion Clinic
Statistics: A Brief Overview Part I Katherine Shaver, M.S. Biostatistician Carilion Clinic Statistics: A Brief Overview Course Objectives Upon completion of the course, you will be able to: Distinguish
BIOSTATS 540 Fall 2018 Exam 2 Page 1 of 12
BIOSTATS 540 Fall 2018 Exam 2 Page 1 of 12 BIOSTATS 540 - Introductory Biostatistics Fall 2018 Examination 2 Units 4, 5, 6, & 7 Probabilities in Epidemiology, Sampling, Binomial, Normal Due: Wednesday
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
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Identify the W's for the description of data. 1) A survey of bicycles parked outside college
MATH 1040 Skittles Data Project
Laura Boren MATH 1040 Data Project For our project in MATH 1040 everyone in the class was asked to buy a 2.17 individual sized bag of skittles and count the number of each color of candy in the bag. The
CHAPTER 3 DATA ANALYSIS: DESCRIBING DATA
Data Analysis: Describing Data CHAPTER 3 DATA ANALYSIS: DESCRIBING DATA In the analysis process, the researcher tries to evaluate the data collected both from written documents and from other sources such
Distributions and Samples. Clicker Question. Review
Distributions and Samples Clicker Question The major difference between an observational study and an experiment is that A. An experiment manipulates features of the situation B. An experiment does not
27 January EPSY 640 Spring Copyright Robert J. Hall, Ph.D. 1. Independent Dependent Control/Extraneous Intervening.
Variables Independent Dependent Control/Extraneous Intervening Robert J. Hall Question A recent report concludes that rats given vitamin supplements have better maze-learning scores than rats on a regular
LOTS of NEW stuff right away 2. The book has calculator commands 3. About 90% of technology by week 5
1.1 1. LOTS of NEW stuff right away 2. The book has calculator commands 3. About 90% of technology by week 5 1 Three adventurers are in a hot air balloon. Soon, they find themselves lost in a canyon in
UCLA STAT 13 Introduction to Statistical Methods for the Life and Health Sciences UCLA STAT 13
UCLA STAT 13 Introduction to Statistical Methods for the Life and Health Sciences Instructor: Ivo Dinov, Asst. Prof. of Statistics and Neurology Administrative The book for this course -- Statistics for
Key: 18 5 = 1.85 cm. 5 a Stem Leaf. Key: 2 0 = 20 points. b Stem Leaf Key: 2 0 = 20 cm. 6 a Stem Leaf. c Stem Leaf
Answers EXERCISE. D D C B Numerical: a, b, c Categorical: c, d, e, f, g Discrete: c Continuous: a, b C 9 C Categorical B A Categorical and ordinal Discrete Ordinal D EXERCISE. Stem Leaf 9 9 9 Key: = Stem
MTH 225: Introductory Statistics
Marshall University College of Science Mathematics Department MTH 225: Introductory Statistics Course catalog description Basic probability, descriptive statistics, fundamental statistical inference procedures
Statistics Lecture 4. Lecture objectives - Definitions of statistics. -Types of statistics -Nature of data -Levels of measurement
Statistics Lecture 4 Introduction of statistics By Dr.Chelli Lecture objectives - Definitions of statistics -Types of statistics -Nature of data -Levels of measurement - Introduction The study of statistics
Displaying the Order in a Group of Numbers Using Tables and Graphs
SIXTH EDITION 1 Displaying the Order in a Group of Numbers Using Tables and Graphs Statistics (stats) is a branch of mathematics that focuses on the organization, analysis, and interpretation of a group
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
Moore, IPS 6e Chapter 03
Page 1 of 7 Moore, IPS 6e Chapter 03 Quizzes prepared by Dr. Patricia Humphrey, Georgia Southern University Researchers are studying the absorption of two drugs into the bloodstream. Each drug is to be
Making Inferences from Experiments
11.6 Making Inferences from Experiments Essential Question How can you test a hypothesis about an experiment? Resampling Data Yield (kilograms) Control Group Treatment Group 1. 1.1 1.2 1. 1.5 1.4.9 1.2
POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY
No. of Printed Pages : 12 MHS-014 POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY Time : 2 hours Maximum Marks : 70 PART A Attempt all questions.
Chapter 1: Introduction to Statistics
Chapter 1: Introduction to Statistics Statistics, Science, and Observations Definition: The term statistics refers to a set of mathematical procedures for organizing, summarizing, and interpreting information.
STP226 Brief Class Notes Instructor: Ela Jackiewicz
CHAPTER 2 Organizing Data Statistics=science of analyzing data. Information collected (data) is gathered in terms of variables (characteristics of a subject that can be assigned a numerical value or nonnumerical
Undertaking statistical analysis of
Descriptive statistics: Simply telling a story Laura Delaney introduces the principles of descriptive statistical analysis and presents an overview of the various ways in which data can be presented by
Agreement Coefficients and Statistical Inference
CHAPTER Agreement Coefficients and Statistical Inference OBJECTIVE This chapter describes several approaches for evaluating the precision associated with the inter-rater reliability coefficients of the
UNIT 4 ALGEBRA II TEMPLATE CREATED BY REGION 1 ESA UNIT 4
UNIT 4 ALGEBRA II TEMPLATE CREATED BY REGION 1 ESA UNIT 4 Algebra II Unit 4 Overview: Inferences and Conclusions from Data In this unit, students see how the visual displays and summary statistics they
Stem-and-Leaf Displays. Example: Binge Drinking. Stem-and-Leaf Displays 1/29/2016. Section 3.2: Displaying Numerical Data: Stem-and-Leaf Displays
Stem-and-Leaf Displays Section 3.2: Displaying Numerical Data: Stem-and-Leaf Displays Compact way to summarize univariate numerical data. Each is broken into 2 pieces: Stem and Leaf Stem the first part