STATISTICAL INFERENCE: INTRODUCTION

Slides:

Advertisements

Similar presentations

Research methods – Deductive / quantitative

Advertisements

Level 1 Multivariate Unit

Statistics for the Social Sciences Psychology 340 Fall 2006 Review For Exam 1.

Information for teachers This PowerPoint presentation gives examples of responses for the Conclusion section of the report. Students own answers will differ.

4-1 Statistical Inference The field of statistical inference consists of those methods used to make decisions or draw conclusions about a population.

1 G Lect 1a Lecture 1a Perspectives on Statistics in Psychology Applications of statistical arguments Describing central tendency and variability.

Introduction To Biological Research. Step-by-step analysis of biological data The statistical analysis of a biological experiment may be broken down into.

Quantitative Research Design and Statistical Analysis.

Is research in education important?. What is the difference between Qualitative and Quantitative Research Methods?

Choosing a statistical What are you trying to do?.

Inferential Statistics Body of statistical computations relevant to making inferences from findings based on sample observations to some larger population.

Statistical Inference for the Mean Objectives: (Chapter 9, DeCoursey) -To understand the terms: Null Hypothesis, Rejection Region, and Type I and II errors.

Statistical Inference An introduction. Big picture Use a random sample to learn something about a larger population.

The Scientific Method An approach to acquiring knowledge.

Last lecture summary Which measures of central tendency do you know? Which measures of variability do you know? Empirical rule Population, census, sample,

Research Design ED 592A Fall Research Concepts 1. Quantitative vs. Qualitative & Mixed Methods 2. Sampling 3. Instrumentation 4. Validity and Reliability.

Chapter 16 Social Statistics. Chapter Outline The Origins of the Elaboration Model The Elaboration Paradigm Elaboration and Ex Post Facto Hypothesizing.

Inference ConceptsSlide #1 1-sample Z-test H o :  =  o (where  o = specific value) Statistic: Test Statistic: Assume: –  is known – n is “large” (so.

Chapter 34 Organisation & Collection of Data. Primary & Secondary Data PRIMARY DATA is collected for a particular purpose. PRIMARY DATA is obtained from.

Inference 3 Integrating informed contextual knowledge.

The population in a statistical study is the entire group of individuals about which we want information The population is the group we want to study.

+ EXPERIMENTAL INVESTIGATIONS An experimental investigation is one in which a control is identified. The variables are measured in an effort to gather.

1 Guess the Covered Word Goal 1 EOC Review 2 Scientific Method A process that guides the search for answers to a question.

What about the P in the PPDAC cycle? Pip Arnold The University of Auckland.

DATA ANALYSIS Data analysis helps discover and substantiate patterns and relationships, test our expectations, and draw inferences that make our research.

Introduction to the Scientific Method Key Vocabulary Analyze - Review the data from an experiment to find out what they mean (evidence) (see interpret).

Chapter 9 Estimation using a single sample. What is statistics? -is the science which deals with 1.Collection of data 2.Presentation of data 3.Analysis.

Chapter 8 Introducing Inferential Statistics.

Scientific Method.

Introduction to Hypothesis Test – Part 2

Math 4030 – 9b Introduction to Hypothesis Testing

Introduction to Statistics

MATH 2311 Section 8.2.

Statistical significance & the Normal Curve

Scientific Method.

Introduction to Statistics

Play David Brent v Keith

Some Nonparametric Methods

Gathering and Organizing Data

Chapter 9: Hypothesis Tests Based on a Single Sample

(or why should we learn this stuff?)

Introduction. Conducting statistical investigations to develop learner statistical thinking.

What Is Science? Read the lesson title aloud to students.

Inferences to the population

From Simulations to the Central Limit Theorem

CHAPTER 1 Exploring Data

Scientific Method.

CHAPTER 1 Exploring Data

CHAPTER 1 Exploring Data

Introduction: Statistics meets corpus linguistics

Chapter 1 Introduction & 1.1: Analyzing Categorical Data

Scientific Method.

CHAPTER 1 Exploring Data

Week 1 Vocab Definitions

Scientific Method Vocabulary

1a) Title: “Something Meaningful and Enticing of What is to Follow”

Statistics – Bivariate

The ________ the ramp, the __________ the car will go.

I can use measure of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.

1a) Title: “Something Meaningful and Enticing of What is to Follow”

CHAPTER 1 Exploring Data

1a) Title: “Something Meaningful and Enticing of What is to Follow”

Unit 1 Quiz: Review questions

INTRODUCTION TO STATISTICS

Samples & Populations 2.1 Learning Target: Analyze a sampling plan to make inferences about a population. Homework: Complete class work on p. 2-3.

CHAPTER 1 Exploring Data

Statistical Power.

Homework Due Friday- Study Island-Maintenance Sheet 25

Presentation transcript:

STATISTICAL INFERENCE: INTRODUCTION

MAKE IT EXPLICIT Your introduction should be meaningful. It should have purpose behind it.

Research I Find out where the sample data originates from? Who collected it? How was it collected? What is the sample size? Define the target population (the group you will be making inferences about

Research II Find out more about the variables you would like to choose… choice is important: Choosing boring variables results in a sub-standard report. Find out as much as you can about your two groups. Find out as much as you can about your measurement variable. Write down what you find out.

Research II Find out more about the variables you would like to choose… choice is important: Choosing boring variables results in a sub-standard report. Write down as much as you can about your two groups. Write down as much as you can about your measurement variable. Pretend i’m an idiot.

Your interest. Describe why you are interested in your investigation. It could be from something you discovered whilst researching….or, It could be a stereotype / hunch / assumption about a particular group in society.

Write a comparative investigation question. Write a COMPARATIVE investigation question. Include: Measurement variable (e.g. height) Comparison variable (e.g. NZ Maori vs. NZ Pakeha) Population you are studying (e.g. College rugby players in NZ), Statistic of interest ...MEDIAN!!! I am going to investigate the relationship between the height of NZ Maori rugby players and the height NZ Pakeha rugby players, who play college rugby in NZ. I am going to investigate the median height of NZ Maori rugby players and the median height of NZ Pakeha rugby players, who play college rugby in NZ.. I am going to investigate the difference between the median height of NZ Maori rugby players and the median height of NZ Pakeha rugby players, who play college rugby in NZ..

Write a hypothesis. What do you expect to find out? Using evidence from research back-up what you expect is a great idea.