Understanding z scores

Jul 17, 2014

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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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Understanding z scores

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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. • What gives the score meaning is its deviation from the mean • A Z score expresses this value in standard deviation units
Z-score Raw score Mean Standard deviation
Z score formula
Z score computation

Chapter 5: z-scores

Chapter 5: z-scores. z-Scores and Location . By itself, a raw score or X value provides very little information about how that particular score compares with other values in the distribution.

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Understanding ITBS Scores

Overview. ITBS testing is done in October at BMS.The testing is a

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Standardized Scores (Z-Scores)

Standardized Scores (Z-Scores). By: David Ruff. Z-Score Defined. The number of standard deviations a raw score (individual score) deviates from the mean. X - X s x where : Z x = standardized score for a value of X = number of standard deviations a raw score (X-score)

641 views • 14 slides

Understanding ITBS Scores

Understanding ITBS Scores. A Guide for Parents Created By: Ginger Psalmonds/CST New Prospect Elementary . Overview. Georgia law mandates that a nationally norm-referenced test, such as the ITBS, be administered annually to students in grades three, five, and eight.

142 views • 13 slides

Calculating Z-scores

Calculating Z-scores. A z-score tells you where you are on the generic normal distribution curve Most z-scores are between -3 and 3 (because 99.7% of the data is between -3 and 3!). Finding a z-score: the formula. (where x is the data value).

1.36k views • 6 slides

z-Scores

z-Scores. What is a z-Score? How Are z-Scores Useful? Distributions of z-Scores Standard Normal Curve. What is a z-Score?. A z-score is a standard score that measures distance from the mean in units of standard deviations. A standard score allows comparison of scores across distributions.

599 views • 9 slides

Z-Scores Continued

Z-Scores Continued. Ch. 6 Day 2 AP Statistics EQ: What is the normal distribution and why do we use it?. The larger the z-score, the more unusual it is. For symmetric data, the _______________ is usually a bit ___________ than the IQR. When is a z-score big?.

274 views • 13 slides

z-scores

z-scores. Chapter 5. Social comparison. Upward social comparison: you’ve done worse than others in class  look up at them  feel badly about yourself Downward social comparison: you’ve done better than others in class  look down at them  feel better about yourself.

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Z scores

Z scores. MM3D3. Recall: Empirical Rule. 68% of the data is within one standard deviation of the mean 95% of the data is within two standard deviations of the mean 99.7% of the data is within three standard deviations of the mean. 99.7%. 95%. 68%. Example.

382 views • 18 slides

Z-Scores

Z-Scores. Z-Score: It is a measure of a the position specific value in a data set relative to mean in terms of the standard deviation units. It is sometimes called the Standard Score. Value of 92 is 1.45 standard deviation units above the mean.

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z - SCORES

z - SCORES. standard score: allows comparison of scores from different distributions z-score : standard score measuring in units of standard deviations. Comparing Scores from Different Distributions.

550 views • 22 slides

Z-Scores

Z-Scores. Quantitative Methods in HPELS 440:210. Agenda. Introduction Location of a raw score Standardization of distributions Direct comparisons Statistical analysis. Introduction. Z-scores use the mean and SD to transform raw scores  standard scores What is a Z-score?

724 views • 27 slides

Understanding ITBS Scores

Understanding ITBS Scores. A Parent Guide. Overview. ITBS testing is done in October at BMS. The testing is a “norm-referenced” test that compares a student’s performance to others who have taken the same test under the same conditions. Overview.

279 views • 16 slides

Z-SCORES (STANDARD SCORES)

Z-SCORES (STANDARD SCORES). We can use the SD (s) to classify people on any measured variable. Why might you ever use this in real life? Diagnosis of a mental disorder Selecting the best person for the job Figuring out which children may need special assistance in school. EXAMPLE FROM I/O.

396 views • 16 slides

Stats: Z Scores

Stats: Z Scores. Think About It:. Two competitors in a decathlon tie in each of the first eight events. In the ninth event, the high jump, one clears the bar 1 inch higher than the other. Then in the 1500 meter run, the other one runs 5 seconds faster. So who wins?.

305 views • 19 slides

Z -Scores

Z -Scores. Histogram. A bar chart of a frequency distribution. 0 — 2 1 — 3 2 — 0 3 — 2 4 — 4 5 — 3 6 — 3 7 — 5 8 — 3 9 — 2 10—2. Normal Distribution. With some frequency distributions the histograms have lots of examples in the middle and fewer that are higher and lower.

377 views • 27 slides

Understanding CELDT scores

Understanding CELDT scores. Morgan Hill Unified School District 2010-2011. What is the CELDT?. C alifornia E nglish L anguage D evelopment T est

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Z scores

Z scores. MA2D3. Recall: Empirical Rule. 68% of the data is within one standard deviation of the mean 95% of the data is within two standard deviations of the mean 99.7% of the data is within three standard deviations of the mean. 99.7%. 95%. 68%. Example.

312 views • 18 slides

Z-scores

Z-scores. Standard Scores . Different normal distributions vary based on the mean µ and the standard deviation ơ . The mean may be located anywhere on the x-axis. The bell-shape may be wide or narrow, depending on the value of the standard deviation ơ .

280 views • 7 slides

Understanding SBA Scores

Understanding SBA Scores. From the Assessment development Team. Introduction. Purpose : to answer some basic questions about Smarter Balanced Summative and Interim test scores Audience : DACs, principals, data/instructional coaches, teachers, parents

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z -Scores

z -Scores. Standardized Scores. Standardizing scores. With non-equivalent assessments it is not possible to develop additive summary statistics. e.g., averaging the scores from assessments with different maximum scores.

347 views • 33 slides

Understanding PRI Scores

Understanding PRI Scores. RSCH 6109. Overview. Review of Stress Theory Review of Coping Theory PRI Scores Teacher Stress Research Findings. What is Stress? What is Coping?. What is Stress? What is Coping?. Response models (Selye) Stimulus models (Holmes & Rahe)

427 views • 41 slides

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