'Standardized distribution' presentation slideshows

Thematic Priorities in the Social Sciences A Survey of Public Funding in East and West 2004-2008

Thematic Priorities in the Social Sciences A Survey of Public Funding in East and West 2004-2008 by Hans-Dieter Klingemann Social Science Research Center Berlin and Olivier Ruchet Sciences Po Paris ESF Forward Look Consensus Conference Central and Eastern Europe beyond Transition:

447 views • 37 slides

COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor:

COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology. Chapter 5: Z-Scores Location of Scores and Standardized Distributions. z-Scores and Location.

419 views • 32 slides

COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman

384 views • 21 slides

Chapter 5: z-Scores

Chapter 5: z-Scores. (b). (c). X = 76 is slightly above average. X = 76 is far above average. 12. 3. 70. 70. x = 76. x = 76. Normal curve distribution comparisons. (a). X = 76 is slightly below average. 12. 82. x = 76. Definition of z-score.

270 views • 20 slides

Review

Review. Class test scores have the following statistics: Minimum = 54 Maximum = 99 25 th percentile = 61 75 th percentile = 87 Median = 78 Mean = 76 What is the interquartile range? 34 26 45 46 9. Review.

292 views • 13 slides

Review

Review. Class test scores have the following statistics: Minimum = 54 Maximum = 99 25 th percentile = 61 75 th percentile = 87 Median = 78 Mean = 76 What is the interquartile range? 34 26 45 46 9. Review.

212 views • 13 slides

STANDARD NORMAL DISTRIBUTION

STANDARD NORMAL DISTRIBUTION. All normal distributions are same when standardized Find areas under normal curve from table that gives areas under curve for standard normal distribution

472 views • 9 slides

Construction Engineering 221

Construction Engineering 221. Probability and statistics Normal Distribution. Normal distribution. Normal distribution is continuous (X can assume any value- measurement) Binomial was discrete distribution (X can assume only certain values, usually integer values representing counts)

78 views • 7 slides