COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Chapter 1: Introduction to Statistics Peer Tutor Slides Instructor: Mr. Ethan W. Cooper,

Slides:



Advertisements
Similar presentations
Section 1-2 Data Classification
Advertisements

Introduction to Statistics
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Test Review: Ch. 1-3 Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead Tutor © 2013.
Welcome to EPS 525 Introduction to Statistics Dr. Robert Horn Summer 2008 Mondays – Thursdays 1:00 – 3:15 p.m.
Basic Ideas of Statistics Unit 1.1 Basic Ideas of Statistics Corresponds to Chapter 1 in Triola.
Introduction to Statistics Quantitative Methods in HPELS 440:210.
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE
Introduction to Statistics and Research
Ethan Cooper (Lead Tutor)
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE
1 Business 90: Business Statistics Professor David Mease Sec 03, T R 7:30-8:45AM BBC 204 Lecture 2 = Finish Chapter “Introduction and Data Collection”
PY 427 Statistics 1Fall 2006 Kin Ching Kong, Ph.D Lecture 1 Chicago School of Professional Psychology.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
LEVEL OF MEASUREMENT Data is generally represented as numbers, but the numbers do not always have the same meaning and cannot be used in the same way.
Chapter 1: Introduction to Statistics. Learning Outcomes Know key statistical terms 1 Know key measurement terms 2 Know key research terms 3 Know the.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Chapter 3: Central Tendency Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead Tutor.
Chapter 1: Introduction to Statistics
Chapter 1: Introduction to Statistics
Warm-Up 1.2 A sample is a part of the population. True or False
Alla Chavarga MTWR 11:50am-12:50pm Room: 4607J Office hours:
Study of Measures of Dispersion and Position. DATA QUALITATIVEQUANTITATIVE DISCRETE CONTINUOUS.
MT 312 STATISTICS Jeaneth Balaba, Lecturer ISHRM 1 st Semester,
Chapter 1: Introduction to Statistics
Why include statistics as part of Psychology?
Statistics 1 Course Overview
COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman Michael Mattocks Aubrey Urwick Chapter 1: Introduction to Statistics.
COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman Michael Mattocks Aubrey Urwick Chapter 2: Frequency Distributions.
Statistics and Research methods Wiskunde voor HMI Betsy van Dijk.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Chapter 2: Frequency Distributions Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead.
Welcome to MM207! Unit 1 Seminar To resize your pods: Place your mouse here. Left mouse click and hold. Drag to the right to enlarge the pod.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2015 Room 150 Harvill.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Chapter 1: Introduction to Statistics. 2 Statistics A set of methods and rules for organizing, summarizing, and interpreting information.
An Introduction to Measurement and Evaluation Emily H. Wughalter, Ed.D. Summer 2008 Department of Kinesiology.
Eng.Mosab I. Tabash Applied Statistics. Eng.Mosab I. Tabash Session 1 : Lesson 1 IntroductiontoStatisticsIntroductiontoStatistics.
Probability & Statistics – Bell Ringer  Make a list of all the possible places where you encounter probability or statistics in your everyday life. 1.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Chapter 1: Introduction to Statistics
1 Concepts of Variables Greg C Elvers, Ph.D.. 2 Levels of Measurement When we observe and record a variable, it has characteristics that influence the.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Chapter 1 Introduction to Statistics. Statistical Methods Were developed to serve a purpose Were developed to serve a purpose The purpose for each statistical.
Slide Slide 1 Warm Up Page 536; #16 and #18 For each number, answer the question in the book but also: 1)Prove whether or not there is a linear correlation.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
An Introduction to Statistics and Research Design
Why is this important? Requirement Understand research articles Do research for yourself Real world Develops your analytical and critical thinking.
Chap 1-1 Chapter 1 Introduction and Data Collection Business Statistics.
Level of Measurement Data is generally represented as numbers, but the numbers do not always have the same meaning and cannot be used in the same way.
Part I Yippee! I’m in Statistics Chapter 1 Statistics or Sadistics?: It’s Up to You.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Chapter 15 The Chi-Square Statistic: Tests for Goodness of Fit and Independence PowerPoint Lecture Slides Essentials of Statistics for the Behavioral.
Introduction To Statistics
Chapter 1: Introduction to Statistics. Variables A variable is a characteristic or condition that can change or take on different values. Most research.
1.  The practice or science of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring* proportions in a.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Test Review: Ch. 4-6 Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead Tutor © 2013.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 1-1 Chapter 1 Introduction and Data Collection Basic Business Statistics 10 th Edition.
Introduction and Data Collection Basic Business Statistics 10 th Edition.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Chapter 17: Chi Square Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead Tutor © 2013.
Modular 1. Introduction of the Course Structure and MyLabsPlus.
Chapter 1: Introduction to Statistics. What is statistics a set of mathematical procedures to do what? to gather information and to organize and summarize.
Chapter 1 Introduction to Statistics 1-1 Overview 1-2 Types of Data 1-3 Critical Thinking 1-4 Design of Experiments.
Tips for exam 1- Complete all the exercises from the back of each chapter. 2- Make sure you re-do the ones you got wrong! 3- Just before the exam, re-read.
Correlation and Regression
Introduction to Statistics and Research
1 Chapter 1: Introduction to Statistics. 2 Variables A variable is a characteristic or condition that can change or take on different values. Most research.
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Test Review: Ch. 7-9
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Chapter 5: z-Scores
15.1 The Role of Statistics in the Research Process
Presentation transcript:

COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Chapter 1: Introduction to Statistics Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead Tutor © PLEASE DO NOT CITE, QUOTE, OR REPRODUCE WITHOUT THE WRITTEN PERMISSION OF THE AUTHOR. FOR PERMISSION OR QUESTIONS, PLEASE MR. COOPER AT THE FOLLWING:

Learning statistics is like learning a foreign language: Make notecards to help you learn your key terms Population (p. 5) Population (p. 5) Sample (p. 6) Sample (p. 6) Variable (p. 6) Variable (p. 6) Parameter (p. 7) Parameter (p. 7) Statistic (p. 7) Statistic (p. 7) Descriptive Statistics (p. 8) Descriptive Statistics (p. 8) Inferential Statistics (p. 9) Inferential Statistics (p. 9) Correlational Method (p. 13) Correlational Method (p. 13) Experimental Method (p.16) Experimental Method (p.16)

More Key Terms: Think Notecards Independent Variable (p. 16) Independent Variable (p. 16) Dependent Variable (p. 16) Dependent Variable (p. 16) Control Condition (p. 16) Control Condition (p. 16) Experimental Condition (p. 16) Experimental Condition (p. 16) Nonexperimental Studies (p. 17) Nonexperimental Studies (p. 17) Quasi-independent Variable (p. 18) Quasi-independent Variable (p. 18) Constructs (p. 20) Constructs (p. 20) Operational Definition (p. 20) Operational Definition (p. 20)

More Key Terms: Think Notecards Discrete Variable (p. 21) Discrete Variable (p. 21) Continuous Variable (p. 21) Continuous Variable (p. 21) Real limits (p. 22) Real limits (p. 22) Nominal Scale (p. 23) Nominal Scale (p. 23) Ordinal Scale (p. 23) Ordinal Scale (p. 23) Interval Scale (p. 25) Interval Scale (p. 25) Ratio Scale (p. 25) Ratio Scale (p. 25) Order of Operations (p. 27) Order of Operations (p. 27)

Question1: If a researcher measures the number of text messages that each individual high school student sends each day and calculates the average number for the entire group of high school students, the average number would be an example of a ________. Question1: If a researcher measures the number of text messages that each individual high school student sends each day and calculates the average number for the entire group of high school students, the average number would be an example of a ________. Statistics, Population, and Samples

Question 1 Answer: Parameter. The researcher uses the entire population of college students. Question 1 Answer: Parameter. The researcher uses the entire population of college students.

Statistics, Population, and Samples Question 2: A researcher is interested in how watching a reality TV show featuring fashion models influences the eating behavior of 13-year-old girls. Question 2: A researcher is interested in how watching a reality TV show featuring fashion models influences the eating behavior of 13-year-old girls. a) A group of year-old girls is selected to participate in a research study. The group of year-old girls is an example of a ________. b) In the same study, the amount of food eaten in one day is measured for each girl and the researcher computes the average score for the year-old girls. The average score is an example of a _________.

Statistics, Population, and Samples Question 2 Answers: Question 2 Answers: a) Sample b) Statistic

Question 3: Researchers have observed that high school students who watched educational television programs as young children tend to have higher grades than their peers who did not watch educational television. Is this study an example of an experiment? Why or why not? Question 3: Researchers have observed that high school students who watched educational television programs as young children tend to have higher grades than their peers who did not watch educational television. Is this study an example of an experiment? Why or why not? Research Methods

Question 3: Answer: Question 3: Answer: This study could be correlational or nonexperimental, but it is definitely not an example of a true experiment. The researcher is simply observing, not manipulating, the amount of educational television.

Research Methods Question 4: What two elements are necessary for a research study to be an experiment? Question 4: What two elements are necessary for a research study to be an experiment?

Research Methods Question 4 Answer: First, the researcher must manipulate one of the two variables being studied. Second, all other variables that might influence the results must be controlled. Question 4 Answer: First, the researcher must manipulate one of the two variables being studied. Second, all other variables that might influence the results must be controlled.

Question 5: Loftus and Palmer (1974) conducted an experiment in which participants were shown a video of an automobile accident. After the video, some participants were asked to estimate the speed of the cars when they “smashed into” each other. Others were asked to estimate the speed when the cars “hit” each other. The “smashed into” group produced significantly higher estimates than the “hit” group. Identify the independent and dependent variables for this study. Question 5: Loftus and Palmer (1974) conducted an experiment in which participants were shown a video of an automobile accident. After the video, some participants were asked to estimate the speed of the cars when they “smashed into” each other. Others were asked to estimate the speed when the cars “hit” each other. The “smashed into” group produced significantly higher estimates than the “hit” group. Identify the independent and dependent variables for this study. Research Methods

Question 5 Answer: The independent variable is the phrasing of the question and the dependent variable is the speed estimated by each participant. Question 5 Answer: The independent variable is the phrasing of the question and the dependent variable is the speed estimated by each participant.

Variables and Measurement Question 6: A survey asks people to identify their age, annual income, and marital status (single, married, divorced, etc.). For each of these three variables, identify the scale of measurement that is used and identify whether the variable is continuous or discrete. Question 6: A survey asks people to identify their age, annual income, and marital status (single, married, divorced, etc.). For each of these three variables, identify the scale of measurement that is used and identify whether the variable is continuous or discrete.

Variables and Measurement Question 6 Answer: Age and annual income are measured on ratio scales and are both continuous variables. Marital status is measured on a nominal scale and is a discrete variable. Question 6 Answer: Age and annual income are measured on ratio scales and are both continuous variables. Marital status is measured on a nominal scale and is a discrete variable.

Variables and Measurement Question 7: An English professor uses letter grades (A, B, C, D, and F) to evaluate a set of student essays. What kind of scale is being used to measure the quality of the essays? Question 7: An English professor uses letter grades (A, B, C, D, and F) to evaluate a set of student essays. What kind of scale is being used to measure the quality of the essays?

Variables and Measurement Question 7 Answer: Ordinal Question 7 Answer: Ordinal

Variables and Measurement Question 8: The teacher in a communications class asks students to identify their favorite reality television show. The different television shows make up what kind of scale? Question 8: The teacher in a communications class asks students to identify their favorite reality television show. The different television shows make up what kind of scale?

Variables and Measurement Question 8 Answer: Nominal Question 8 Answer: Nominal

Variables and Measurement Question 9: When measuring height to the nearest inch, what are the real limits for a value of 68 inches? Question 9: When measuring height to the nearest inch, what are the real limits for a value of 68 inches?

Variables and Measurement Question 9 Answer: 67.5 and 68.5 Question 9 Answer: 67.5 and

Variables and Measurement Question 10: When measuring height to the nearest half inch, what are the real limits for a value of 68 inches? Question 10: When measuring height to the nearest half inch, what are the real limits for a value of 68 inches?

Variables and Measurement Question 10 Answer: and Question 10 Answer: and

Discrete or Continuous? Question 11: Question 11: Foot length Foot length Height Height Time Time Number of students in JUST 3900 Number of students in JUST 3900 Weight Weight Number of siblings Number of siblings Age Age

Discrete or Continuous? Question 11 Answer: Question 11 Answer: Foot length, height, weight, age, and time are all continuous because they are not limited to a fixed set of separate, individual categories. They can be divided into an infinite number of fractional parts. It is always possible to find a third point between any two points. Foot length, height, weight, age, and time are all continuous because they are not limited to a fixed set of separate, individual categories. They can be divided into an infinite number of fractional parts. It is always possible to find a third point between any two points. Height and foot length, for instance, can be measured in meters, centimeters, and even millimeters. Height and foot length, for instance, can be measured in meters, centimeters, and even millimeters. Time and age can be broken down into years, months, days, hours, seconds, or milliseconds. Time and age can be broken down into years, months, days, hours, seconds, or milliseconds. When two people say they each weigh 150 lbs., what they likely mean is that they each weigh about 150 lbs. There are an infinite number of possibilities between 149 lbs. and 150 lbs. and 150 lbs. and 151 lbs. that would more accurately describe their respective weights. When two people say they each weigh 150 lbs., what they likely mean is that they each weigh about 150 lbs. There are an infinite number of possibilities between 149 lbs. and 150 lbs. and 150 lbs. and 151 lbs. that would more accurately describe their respective weights.

Discrete or Continuous? Question 11 Answer: Question 11 Answer: The number of students enrolled in JUST 3900 and the number of siblings one has are both discrete variables. They consist of separate, indivisible categories. Typically, discrete variables consist of whole, countable numbers. No values exist in between. The number of students enrolled in JUST 3900 and the number of siblings one has are both discrete variables. They consist of separate, indivisible categories. Typically, discrete variables consist of whole, countable numbers. No values exist in between. For instance, there may be 100 students enrolled in JUST 3900 or one may have 7 siblings, but there cannot be 99.5 students or 7.5 siblings. For instance, there may be 100 students enrolled in JUST 3900 or one may have 7 siblings, but there cannot be 99.5 students or 7.5 siblings.

Order of Operations Parentheses Parentheses Exponents Exponents Multiplication/Division (in order from left to right) Multiplication/Division (in order from left to right) Summation Summation Addition/Subtraction (in order from left to right) Addition/Subtraction (in order from left to right)

Order of Operations Question 12: Calculate each value requested for the following scores: 6,2,4,2. Question 12: Calculate each value requested for the following scores: 6,2,4,2. a) ΣX b) ΣX b) ΣX 2 c) ΣX c) (ΣX) 2 d) Σ(X-2 d) Σ(X-2) e) Σ(X-2 e) Σ(X-2) 2

Order of Operations

Summation Notation Question 13: Use summation notation to express each of the following. Question 13: Use summation notation to express each of the following. a) Add 4 points to each score and then add the resulting values. b) Add the scores and then square the total. c) Square each score, then add the squared values.

Summation Notation

Frequently Asked Questions FAQs How do I pass this class? How do I pass this class? 1) Read the chapters before lectures. 2) Complete Aplia tutorials/practice questions in preparation for in-class exercises. 3) If needed finish in-class exercises at home. 4) Come to tutoring (Workshops and Day time appointments). 5) Review the answer key to the in-class exercises before completing the graded portion of Aplia. 6) Never take a homework free holiday! (Towards the end of the semester this will make more sense) 7) Finish Aplia within 24 hours of the last lecture! 8) Always bring slides to class and take notes.

Frequently Asked Questions FAQs What should I expect on the tests? What should I expect on the tests? a) Tests will consist of approximately 45 multiple choice questions. b) The final exam will consist of approximately 60 multiple choice questions. c) The material covered on the test will include knowledge of concepts, definitions, and formulas (know your terms). d) Strictly speaking, the tests are not cumulative. Each exam will only cover 3 chapters.  However, statistics is a course that builds on the foundation that was laid in past chapters. If you do not understand chapters 1-3, you will not grasp chapters 4-6. “A small error in the beginning leads to a large error in the end.” Aristotle e) Any tables required for the test (e.g., the tables in the textbook’s appendices) will be provided by Dr. Kerbs.

What is it Really Like to be a JUST3900 Student? Taking JUST3900 with Dr. Kerbs: FACT OR FICTION Taking JUST3900 with Dr. Kerbs: FACT OR FICTION Taking JUST3900 with Dr. Kerbs is a demanding experience. FACT Taking JUST3900 with Dr. Kerbs is a demanding experience. FACT Dr. Kerbs does expect a great deal from his students -- he wants you to understand and preferably master the course material. However, he provides you with every resource to excel in his class: PowerPoint slides, in-class exercises with a detailed explanation of each problem, a great text book, office hours, and tutoring services. He gives you the tools to succeed in understanding and applying course content. That said, you need to do your part as well: Read before each class, attend each class and take notes, review your notes between classes, complete all homework assignments, ask questions, and study for each test. Dr. Kerbs does expect a great deal from his students -- he wants you to understand and preferably master the course material. However, he provides you with every resource to excel in his class: PowerPoint slides, in-class exercises with a detailed explanation of each problem, a great text book, office hours, and tutoring services. He gives you the tools to succeed in understanding and applying course content. That said, you need to do your part as well: Read before each class, attend each class and take notes, review your notes between classes, complete all homework assignments, ask questions, and study for each test. Getting extra help is difficult. FICTION Getting extra help is difficult. FICTION Dr. Kerbs is very approachable on all levels. First, he wants students to ask questions in class and during office hours. If you’re asking questions, it means that you are trying to learn the material: This is a good thing! You can always expect that Dr. Kerbs will take your questions and requests for help seriously, and he will always treat you with respect and courtesy. Second, he holds office hours every week and is available by appointment. He is known for diligently helping students because he really does want you to succeed. Dr. Kerbs is very approachable on all levels. First, he wants students to ask questions in class and during office hours. If you’re asking questions, it means that you are trying to learn the material: This is a good thing! You can always expect that Dr. Kerbs will take your questions and requests for help seriously, and he will always treat you with respect and courtesy. Second, he holds office hours every week and is available by appointment. He is known for diligently helping students because he really does want you to succeed.