1 / 35

Skewness

Skewness. 9/27/2012. Readings. Chapter 2 Measuring and Describing Variables (Pollock) (pp.37-44) Chapter 6. Foundations of Statistical Inference (128-133) (Pollock) Chapter 3 Transforming Variables (Pollock Workbook) . Homework. Homework Due: Chapter 2 Pollock Workbook (10/2)

wilbur
Télécharger la présentation

Skewness

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Skewness 9/27/2012

  2. Readings • Chapter 2 Measuring and Describing Variables (Pollock) (pp.37-44) • Chapter 6. Foundations of Statistical Inference (128-133) (Pollock) • Chapter 3 Transforming Variables (Pollock Workbook)

  3. Homework • Homework Due: Chapter 2 Pollock Workbook (10/2) • Question 1: A, B, C, D, E • Question 2: B, D, E (this requires a printout) • Question 3: A, B, D • Question 5: A, B, C, D • Question 7: A, B, C, D • Question 8: A, B, C

  4. Opportunities to discuss course content

  5. Office Hours For the Week • When • Friday and Monday 11-1 • Tuesday 8-12 • And appointment • Santa wears blublockers

  6. Course Learning Objectives • Students will learn the research methods commonly used in behavioral sciences and will be able to interpret and explain empirical data. • Students will achieve competency in conducting statistical data analysis using the SPSS software program.

  7. The Normal Curve

  8. Different Kinds of Distributions

  9. Different Kinds of Curves

  10. Rectangular

  11. Camel Humps Dromedary (one hump) Bactrian (bi-modal)

  12. The Normal/Bell Shaped curve • Symmetrical around the mean • It has 1 hump, it is located in the middle, so the mean, median, and mode are all the same!

  13. Why we use the normal curve • To determine skewness • The Normal Distribution curve is the basis for hypothesis/significance testing

  14. skewness

  15. What is skewness? • an asymmetrical distribution. • Skewnessis also a measure of symmetry, • Most often, the median is used as a measure of central tendency when data sets are skewed.

  16. How to describe skewness

  17. The Mean or the Median? • In a normal distribution, the mean is the preferred measure • In a skewed distribution, you go with the median

  18. Testing for Skewness In the Descriptives Command In the Frequencies Command Click Here

  19. Deviate from the norm? • Divide the skewness value • By the std. error of skewness

  20. A distribution is said to be skewed if the magnitude of (Skewness value/ St. Error of Skew) is greater than 2 (in absolute value)

  21. If the Value is Two or More Median

  22. If the Value Is Two or Less Mean

  23. Baseball Salaries again • Divide the Skewness by its standard error • .800/.427 = 1.87 • This value is less than 2 so we use the mean (92 million) • What does the positive skew value mean???

  24. Lets Try another One (Per Capita income in the states) • Divide the Skewness by its standard error • .817/.337 = 2.42 • The value is greater than two, and the skewness value is positive • What is the better measure and what might cause this distribution shape?

  25. CO2 Emissions by State

  26. Percent Hispanic

  27. World Urban Population

  28. Making Bar Charts in SPSS

  29. Simple Bar Charts • In SPSS • OPEN GSS 2008 • Analyze • Descriptive Statistics • Frequencies

  30. Statistical Significance

  31. Statistical Significance • A result is called statistically significant if it is unlikely to have occurred by chance • You use these to establish parameters, so that you can state probability that a parameter falls within a specified range called the confidence interval (chance or not). • Practical significance says if a variable is important or useful for real-world. Practical significance is putting statistics into words that people can use and understand.

  32. Curves & Significance Testing

  33. What this Tells us • Roughly 68% of the scores in a sample fall within one standard deviation of the mean • Roughly 95% of the scores fall 2 standard deviations from the mean (the exact # is 1.96 s.d) • Roughly 99% of the scores in the sample fall within three standard deviations of the mean

  34. A Practice Example • Assuming a normal curve compute the age (value) • For someone who is +1 s.d, from the mean • what number is -1 s.d. from the mean • With this is assumption of normality, what % of cases should roughly fall within this range (+/-1 S.D.) • What about 2 Standard Deviations, what percent should fall in this range?

More Related