'Ratio scales' presentation slideshows

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LIS 570

LIS 570. Session 6.1 Univariate Data Analysis. Objectives: Have answers to the following questions. Why is the normal distribution important for statistical analysis (the ones presented) to make sense? What is the logic behind inferential statistics? (On what theories is it based?)

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Chapter 11

Chapter 11. Measurement. Learning Objectives. Understand . . . The distinction between measuring objects, properties, and indicants of properties. The similarities and differences between the four scale types used in measurement and when each is used.

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Measurement & Scaling

Measurement & Scaling. Before we proceed further it will be worthwhile to understand the following two terms: (a) Measurement, and (b) Scaling.

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Match line A to one of the three on the left

Match line A to one of the three on the left. Match line A to one of the three on the left. What percentage of people went along?. As number of confederates went beyond 3, conformity remained constant With addition of even one supporter, it reduced drastically.

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CHAPTER13 MEASUREMENT

CHAPTER13 MEASUREMENT. Professor Gary Merlo Westfield State College. WHAT IS TO BE MEASURED?. This is not as simple a question as it may at first seem. A precise definition of the concept may require a description of how it will be measured.

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Match line A to one of the three on the left

Match line A to one of the three on the left. Match line A to one of the three on the left. What percentage of people went along?. As number of confederates went beyond 3, conformity remained constant With addition of even one supporter, it reduced drastically. Sample Experimental Design:.

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ORGANOLEPTIC SCENSORY TASTE PROFILES

ORGANOLEPTIC SCENSORY TASTE PROFILES. The lingering tartness of malic acid outlasts and masks the bitter after taste (or intense sweetness) of many high intensity sweeteners. Comparison of Molecular Weights of Food Acids. One mole = 602, 000, 000, 000, 000, 000, 000, 000 molecules

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Statistical Methods in Computer Science

Data 2: Central Tendency & Variability Ido Dagan. Statistical Methods in Computer Science. Frequency Distributions and Scales. Characteristics of Distributions. Shape, Central Tendency, Variability. Different Central Tendency. Different Variability. This Lesson.

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Descriptive Statistics

Descriptive Statistics. Imagine you go to a party and you talk to 10 people. You get information on all 5 variables from each individual. Then when you are with a friend the next day you want to describe what you learned at the party.

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Some statistics questions answered:

Some statistics questions answered:. "Well, am I significantly more popular than Gordon Brown?". Requests: How to report statistical results in APA format. How to calculate SD and SE by hand. An explanation of levels of measurement.

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Correlational Studies

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UNDERSTANDING DESCRIPTION AND CORRELATION

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