'Ordinal level' diaporamas de présentation

Chapter 4 Statistics

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Independent Samples T-Test of Population Means

Independent Samples T-Test of Population Means. Key Points about Statistical Test Sample Homework Problem Solving the Problem with SPSS Logic for Independent Samples T-Test of Population Means Power Analysis. Independent Samples T-Test: Purpose.

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Chapter 8 A Statistics Primer

Chapter 8 A Statistics Primer. Winston Jackson and Norine Verberg Methods: Doing Social Research, 4e. Level of Measurement. Measures can be designed to have a higher, more complex level or a more basic, rudimentary level Influenced by how the variable is conceptualized

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Testing for Differences Between Two Groups or Among More than Two Groups

Testing for Differences Between Two Groups or Among More than Two Groups. Why Differences are Important. Market segmentation holds that within a market, there are different types of consumers who have different requirements, and these differences can be the bases of marketing strategies.

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What is Statistics

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

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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.

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Correlation Question 1

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

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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.

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Topic-14

Topic-14. Nonparametric Methods: Chi-Square Applications. Nonparametric Method: Chi-Square Applications .

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ANOVA: Analysis of Variance

ANOVA: Analysis of Variance. The Titanic Disaster. Were there differences in survival rates by gender/age groups (men, women, children) or economic groups (1st, 2nd, and 3rd class tickets and crew)? IF SO, WHY? Survival rate = Proportion of the group that survived. Durkheim: Suicide.

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Descriptive Statistics Healey Chapters 3 and 4 (2 nd Cdn Ch. 3)

Descriptive Statistics Healey Chapters 3 and 4 (2 nd Cdn Ch. 3). Measures of Central Tendency And Dispersion. Measures of Central Tendency. 1. Mode = can be used for any kind of data but only measure of central tendency for nominal or qualitative data.

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Compare Central Tendency & Variability

Compare Central Tendency & Variability. Group comparison of central tendency?. (e.g., lower-higher?, more-less likely?). Measurement Level?. Ordinal. Nominal. Interval. Badly Skewed?. Yes. NO. Mode. Mean. Median. Median. Compare Central Tendency & Variability. Group comparison of

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Levels of Measurement

Levels of Measurement. James H. Steiger. Measurement. Measurement is the process of assigning numbers to quantities. The process is so familiar that perhaps we often overlook its fundamental characteristics. Properties of a Quantity.

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COMM 301: Empirical Research in Communication

COMM 301: Empirical Research in Communication. Kwan M Lee Lect3_1. Announcements. Office hours Initial survey with email ? hand in to TAs Class Activities Unresolved problems ? Ask TA or contact Professor. Building good measures: Levels of measurement.

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COMM 301: Empirical Research in Communication

COMM 301: Empirical Research in Communication. Kwan M Lee Lect3_1. Announcements. Office hours Initial survey with email ? hand in to TAs Class Activities Unresolved problems ? Ask TA or contact Professor. Building good measures: Levels of measurement.

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Research Methods in MIS

Research Methods in MIS. Dr. Deepak Khazanchi. A statement which defines a variable by specifying the operations used to measure and manipulate it. Vs. Conceptual definitions (more dictionary like). Variable in research Problem: Computer usage by end users

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Chapter 14

Chapter 14. Association Between Variables Measured at the Ordinal Level. Chapter Outline. Introduction Proportional Reduction in Error (PRE) The Computation of Gamma Determining the Direction of Relationships. Chapter Outline.

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Introduction to Statistics Review

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Chapter 14

Chapter 14. Association Between Variables Measured at the Ordinal Level. Chapter Outline. Introduction Proportional Reduction in Error (PRE) The Computation of Gamma Determining the Direction of Relationships. Chapter Outline.

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Vocabulary of Statistics

Vocabulary of Statistics. Part Two. Variable classifications. Qualitative variables: can be placed into distinct categories, according to some characteristic or attribute. for example: gender, religion, etc. Quantitative variables: numerical and can be ordered or ranked.

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