Welcome to Statistics!.

Slides:

Advertisements

Similar presentations

Statistics and Research methods Wiskunde voor HMI Bijeenkomst 5.

Advertisements

Describing Relationships Using Correlation and Regression

Objectives (BPS chapter 24)

(Your biggest thrill at Stanford) Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance.

1 Multiple Regression Analysis y =  0 +  1 x 1 +  2 x  k x k + u 2. Hypothesis Testing.

Correlation. Two variables: Which test? X Y Contingency analysis t-test Logistic regression Correlation Regression.

4-Bit Binary-to-BCD Converter: case Statement

Simple Linear Regression Analysis

Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 12-1 Correlation and Regression.

Sampling Error think of sampling as benefiting from room for movement.

Research Project Statistical Analysis. What type of statistical analysis will I use to analyze my data? SEM (does not tell you level of significance)

Education 200C: Statistics. Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will.

ANOVA ANOVA is used when more than two groups are compared In order to conduct an ANOVA, several assumptions must be made – The population from which the.

(Your biggest thrill at Stanford) Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance.

Circles $10 $20 $10 $20 $10 $30 $20 $30 $40 $20 $40 $50 Parts of a Circle II Gotta Think Labels Parts of a Circle.

Correlation. Up Until Now T Tests, Anova: Categories Predicting a Continuous Dependent Variable Correlation: Very different way of thinking about variables.

Statistics 1: Introduction to Probability and Statistics Section 3-2.

Psychology 202a Advanced Psychological Statistics September 29, 2015.

Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Simple Linear Regression Analysis Chapter 13.

Chapter II Methods for Describing Sets of Data Exercises.

Educational Research: Data analysis and interpretation – 1 Descriptive statistics EDU 8603 Educational Research Richard M. Jacobs, OSA, Ph.D.

1-4 Properties of Real Numbers. Properties 1.Additive Identity – the sum of any number and zero is equal to the number. a + 0 = a 2.Multiplicative Identity.

Monday, September 27 More basics.. _ “Life is a series of samples, you can infer the truth from the samples but you never see the truth.”

Bias-Variance Analysis in Regression  True function is y = f(x) +  where  is normally distributed with zero mean and standard deviation .  Given a.

Marshall University School of Medicine Department of Biochemistry and Microbiology BMS 617 Lecture 16 : Summary Marshall University Genomics Core Facility.

Scientific method The process by which scientists, collectively and over time, endeavor to construct an accurate (that is, reliable, consistent and non-arbitrary)representation.

Psych 231: Research Methods in Psychology

Sampling distribution of the mean.

Introduction to Statistics

Inferential Statistics

Multiple Regression Example

Independent samples t-test for the difference between two means.

JUS 510 Education for Service/tutorialrank.com

Wednesday, October 20 Sampling distribution of the mean.

More basics: central tendency, variability, populations and samples.

2. Find the equation of line of regression

Welcome to Statistics!.

Statistics for the Social Sciences

Psych 231: Research Methods in Psychology

Independent samples t-test for the difference between two means.

Welcome to Statistics!.

Wednesday, October 14 Sampling distribution of the mean.

Comparing Two Groups Statistics 2126.

ANOVA Determining Which Means Differ in Single Factor Models

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

XY XY XY XY XY XY ρ.

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

Descriptive Statistics

Statistics for the Social Sciences

Friday, October 2 Variability.

Psych 231: Research Methods in Psychology

Inferential Statistics

Section Means and Variances of Random Variables

Psych 231: Research Methods in Psychology

Independent samples t-test for the difference between two means.

Psych 231: Research Methods in Psychology

Descriptive Statistics

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

Psych 231: Research Methods in Psychology

Exponent An exponent is a positive integer superscript written to the right of a number telling how many times that number is used as a factor.

MGSE7.SP.3/MGSE7.SP.4: I can use measure of center and measures of variability for numerical data from random samples to draw informal comparative inferences.

Bonus Slide!!! Things to “Carefully Consider”

Scientific method The process by which scientists, collectively and over time, endeavor to construct an accurate (that is, reliable, consistent and non-arbitrary)representation.

Presentation transcript:

Welcome to Statistics!

Welcome to Statistics! (Your biggest thrill at Stanford)

Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance.

Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification.

Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. We will help each other so that no one will fail.

Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. We will help each other so that no one will fail. You will fall in love with statistics!

Hopefully not like this!

How unusual is that?

Downloaded from National Snow and Ice Data Center September 20, 2010

Population The goal is to describe this as accurately as possible.

Population Sample You take a sample.

You describe the sample. Population µ Sample X _ _ You describe the sample.

_ XC _ XD Population _ XB µ _ XE _ XA SampleC XC _ SampleD XD _ Population SampleB XB _ µ SampleE XE SampleA XA _ _ The sample mean is just one of many possible sample means drawn from the population, and is rarely equal to the real population value.

Correlation

Regression

Xboys=53.75 _ Xgirls=51.16 _ How do we know if the difference between these means, of 53.75 - 51.16 = 2.59, is reliably different from zero?

Syllabus Google “Kenji Hakuta” Go to “courses” Go to Education 200C