'Raw score' presentation slideshows

Using the ENNI for narrative assessment or norm development

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766 views • 58 slides

Navy-wide Advancement Examination

1.18k views • 47 slides

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DESCRIPTIVE STATISTICS

DESCRIPTIVE STATISTICS. UNIT 4: Measures of Position. TouchText. Z-Scores Percentile Rankings. Problems and Exercises. Next. Position of a Single Observation Within a Distribution.

419 views • 32 slides

Calipers II: Using Simulations to Assess Complex Science Learning

425 views • 31 slides

Basic Measurement and Statistics in Testing

Basic Measurement and Statistics in Testing. Outline. Central Tendency and Dispersion Standardized Scores Error and Standard Error of Measurement (Sm) Item Analysis. Central Tendency and Dispersion. Central Tendency.

527 views • 28 slides

The Normal Curve, Standardization and z Scores

The Normal Curve, Standardization and z Scores. Chapter 6. The Bell Curve is Born (1769). A Modern Normal Curve. Development of a Normal Curve: Sample of 5. Development of a Normal Curve: Sample of 30. Development of a Normal Curve: Sample of 140.

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The Normal Distribution

453 views • 25 slides

Hypothesis Testing with z Tests

Hypothesis Testing with z Tests. Chapter 7. The z Table. Benefits of standardization: allowing fair comparisons z table: provides percentage of scores between the mean and a given z score. Raw Scores, z Scores, and Percentages. Step 1: Convert raw score to z score

392 views • 25 slides

Identification of Intensive Reading Intervention Candidates

Identification of Intensive Reading Intervention Candidates. Curriculum and Standards April 22, 2010. Meeting Goals. Objectives Participants will be able to explain the expected protocol for the identification of candidates for intensive reading intervention. . Agenda

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15.4 The Normal Distribution Objectives:

15.4 The Normal Distribution Objectives: . Understand the basic properties of the normal curve. Relate the area under a normal curve to z -scores. Make conversions between raw scores and z -scores. Use the normal distribution to solve applied problems. The Normal Distribution.

533 views • 19 slides

Making Sense of Standardized Test Scores

Making Sense of Standardized Test Scores. Presenter: Misty Nix. Discussion. What types of scores are out there?. Types of Scores. Percentiles Grade-Equivalent Scores Scale Scores. Percentiles.

586 views • 16 slides

4 Major Parts of Your PSAT/NMSQT Results

4 Major Parts of Your PSAT/NMSQT Results. Understanding Your PSAT/NMSQT Results. Your Scores. Your Skills. Your Answers. Next Steps. 3 Test Sections. Critical Reading. Mathematics. Writing Skills. Your Scores. Score

211 views • 11 slides

Standard Normal Distribution

Standard Normal Distribution. The Classic Bell-Shaped curve is symmetric, with mean = median = mode = midpoint. Standard Normal Distribution. Probabilities in the Normal Distribution. The distribution is symmetric, with a mean of zero and standard deviation of 1.

385 views • 10 slides

Millon Clinical Multiaxial Inventory III (MCMI-III)

3.74k views • 9 slides

Ch 10: Normal Distribution & Standard Scores

Ch 10: Normal Distribution & Standard Scores. Mon. Feb 23 rd , 2004. Normal Distribution (ND). Common theoretical distribution w/bell-shaped, symmetrical curve Mean, median, mode all occur at peak Properties of the ND: Area under it = 1.0 (100% scores)

304 views • 8 slides

Understanding z scores

Understanding z scores. Standard scores. Standard scores assume a normal distribution They provide a method of expressing any score in a distribution in terms of its distance from the mean in standard deviation units. Z-score. A raw score by itself is rather meaningless.

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Z-Score Review

Z-Score Review. To translate a raw score into a z score (ex: what is the chance of finding a clerk who makes a particular income of 16k per year). We look up the z score we calculated in table A and take the percentage straight from Column B.

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Z-Scores (Chapter 6)

Z-Scores (Chapter 6). Equation for Z can be solved forwards or backwards : Raw score ? z-score ? probability Xi ? Zi ? probability What score is necessary to be in the top or bottom x-percentage of The distribution?

413 views • 5 slides