'Interval level' presentation slideshows

Chapter 1

Chapter 1. Introduction to Statistics. Chapter Outline. 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design. Section 1.1. An Overview of Statistics. Section 1.1 Objectives. Define statistics Distinguish between a population and a sample

924 views • 63 slides

One-way Analysis of Variance and Post Hoc Tests

One-way Analysis of Variance and Post Hoc Tests. Key Points about Statistical Test Sample Homework Problem Solving the Problem with SPSS Logic for One-way Analysis of Variance with Post Hoc Tests Power Analysis. One-way Analysis of Variance: Purpose.

1.46k views • 55 slides

Detecting Outliers

Detecting Outliers. Detecting univariate outliers Detecting multivariate outliers Homework problems. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.

820 views • 54 slides

Introduction to Data Analysis. March 31, 2008

645 views • 53 slides

Managerial Decision Making

612 views • 44 slides

Detecting Outliers

Detecting Outliers. Detecting univariate outliers Detecting multivariate outliers. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.

639 views • 42 slides

Statistic Descriptive

Statistic Descriptive. http://statisticdescriptive.wordpress.com/. Lecturer. Ir. Muhril Ardiansyah, M.Sc., Ph.D Email: uhsyah@yahoo.com. Text. Lind, Marchal, Wathen. 2008. Statistical Techniques in Business and Economics with Global Data Sets. Mc Graw Hill International Edition.

765 views • 34 slides

Comparing Two Means

Comparing Two Means. Dr. Andy Field. Aims. T-tests Dependent (aka paired, matched) Independent Rationale for the tests Assumptions Interpretation Reporting results Calculating an Effect Size T -tests as a GLM. Experiments.

748 views • 33 slides

Correlation Question 1

Correlation Question 1. This question asks you to use the Pearson correlation coefficient to measure the association between [educ4] and [empstat].

397 views • 32 slides

Percentile Practice Problem (1)

Percentile Practice Problem (1). This question asks you to use percentile for the variable [marital]. Recall that the use of percentile is for ordinal or interval level variable. Since [marital] is a nominal level variable, it is incorrect to use percentile to answer this question.

1.2k views • 31 slides

LIS 570

LIS 570. Session 7.1 Bivariate Data Analysis. Objectives. Reinforce concept of standard error and the standard normal distribution (basis of confidence level and confidence interval) Understand different approaches to the analysis of bivariate data Gain confidence in use of SPSS. Agenda.

565 views • 27 slides

Conceptualization, Operationalization and Measurement

Conceptualization, Operationalization and Measurement. Concepts, Levels of Measurement, and Measurement Validity. Aspects of Measurement Validity in Social Research. Are we measuring what we intend to measure ? OR , Are we measuring the correct Concept ?.

1.72k views • 23 slides

Intensity Analysis To Analyze Land Change

Intensity Analysis To Analyze Land Change. Robert Gilmore Pontius Jr Clark University, USA rpontius@clarku.edu Ten-minute primer for Intensity Analysis. Yan Gao National University of Mexico, Mexico yangao98@gmail.com

331 views • 22 slides

Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). W&W, Chapter 10. Introduction . Last time we learned about the chi square test for independence, which is useful for data that is measured at the nominal or ordinal level of analysis.

372 views • 20 slides

Uefa Champions league 2012-2013 Stats

Uefa Champions league 2012-2013 Stats . We are the Champions League. Population.

449 views • 18 slides

Statistical Techniques in Business & Economics

Statistical Techniques in Business & Economics. Douglas Lind, William Marchal & Samuel Wathen. STAT 107 Course Contents. Chapter Title 1 What is Statistics 2 Describing Data: Frequency Distributions and Graphic Presentation . 3 Describing Data: Numerical Measures

1.83k views • 16 slides

What is Statistics?

What is Statistics?. Chapter 1. GOALS. Understand why we study statistics. Explain what is meant by descriptive statistics and inferential statistics . Distinguish between a qualitative variable and a quantitative variable .

506 views • 13 slides

What is Statistics

What is Statistics. Chapter 1. GOALS. Understand why we study statistics. Explain what is meant by descriptive statistics and inferential statistics. Distinguish between a qualitative variable and a quantitative variable.

415 views • 12 slides

Introduction to Statistics

690 views • 10 slides

Levin and Fox Chapter 12

Levin and Fox Chapter 12. Statistics for Nonparametric Measures. Parametric measures. All of the statistical tests we have examined thus far require: Interval level data Normality in the population (or at least large samples so that the sampling distribution of means is normal).

237 views • 6 slides