Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.
Próximos SlideShares
Carregando em…5
×

# Quantitative Methods for Lawyers - Class #13 - Students "t" Distribution - Professor Daniel Martin Katz

1.191 visualizações

Quantitative Methods for Lawyers - Class #13 - Students "t" Distribution - Professor Daniel Martin Katz

• Full Name
Comment goes here.

Are you sure you want to Yes No
• Seja o primeiro a comentar

### Quantitative Methods for Lawyers - Class #13 - Students "t" Distribution - Professor Daniel Martin Katz

1. 1. Quantitative Methods for Lawyers Class #13 Students “t” Distribution @ computational computationallegalstudies.com professor daniel martin katz danielmartinkatz.com lexpredict.com slideshare.net/DanielKatz
2. 2. Students “T” Distribution
3. 3. Students “T” Distribution v. Normal Distribution is then distributed Standard Normal Let X1, X2,..., Xn be drawn from N ( μ,σ ) We have learned that But typically - we do not actually know σ If we know σ than we can use Z Scores
4. 4. Student “T” Distribution is preferred statistic for dealing with continuous data Students “T” Distribution Sample sizes are sometimes small, and often we do not know the standard deviation of the population. When either of these problems occur, statisticians rely on “t” distribution
5. 5. The t distributions were discovered by William S. Gosset in 1908. Students “T” Distribution Goal for Gosset: Determine the Likelihood that any particular sample represented the true quality of the entire product Comparing the Mean of Population and Mean of a Given Sample
6. 6. Gosset was a statistician employed by the Guinness brewing company which had stipulated that he not publish under his own name. He therefore wrote under the pen name “Student.” Students “T” Distribution
7. 7. The t distribution should NOT be used with small samples from populations that are NOT approximately normal Students “T” Distribution The particular form of the t distribution is determined by its degrees of freedom
8. 8. Students “T” Distribution NOTE: T-Distribution Converges to the Normal Distribution A Student's t distribution converges to a normal distribution when the number of degrees of freedom N becomes large (converges to inﬁnity). http://www.nku.edu/~longa/stats/taryk/TDist.html
9. 9. Students “T” Distribution A Student's t distribution when the N is small Otherwise, use Normal and “Z Scores” If the sample is small, n < 30, we use t and if the sample is large, n ≥ 30, we use z. What is “Small” in this context?
10. 10. Students “T” Distribution http://www.nku.edu/~longa/stats/ taryk/TDist.html
11. 11. Students “T” Distribution Different Forms Comparing the Means of Two Samples Single Sample T Test Problem
12. 12. Students “T” Distribution Acme Corporation manufactures light bulbs. The CEO claims that an average Acme light bulb lasts 300 days. A researcher randomly selects 15 bulbs for testing. The sampled bulbs last an average of 290 days, with a standard deviation of 50 days. If the CEO’s claim were true, what is the probability that 15 randomly selected bulbs would have an average life of no more than 290 days?
13. 13. Students “T” Distribution Acme Corporation manufactures light bulbs. The CEO claims that an average Acme light bulb lasts 300 days. A researcher randomly selects 15 bulbs for testing. The sampled bulbs last an average of 290 days, with a standard deviation of 50 days. If the CEO’s claim were true, what is the probability that 15 randomly selected bulbs would have an average life of no more than 290 days? This is Single Sample T Test Problem
14. 14. Students “T” Distribution
15. 15. Students “T” Distribution P Value
16. 16. Students “T” Distribution http://stattrek.com/Tables/T.aspx
17. 17. Example From Our Book Involving Damage Awards 235,000 175,000 750,000 230,000 450,000 150,000 1,000,060 910,000 150,000 220,000 130,000 170,000 234,000 450,000 890,000 101,000 120,000 560,000 321,000 456,000 102,000 30,000 793,000 250,900 862,000 673,000 463,000 54,000 39,000 687,000 260,800 682,000 3,514,000 67,000 356,000 13,000 42,000 4,000 402,000 943,000 961,600 630,000 398,800 52,000 976,500 540,000 Awards in Rest of State Awards in Bloom County N = 21 N = 25
18. 18. 235,000 175,000 750,000 230,000 450,000 150,000 1,000,060 910,000 150,000 220,000 130,000 170,000 234,000 450,000 890,000 101,000 120,000 560,000 321,000 456,000 102,000 30,000 793,000 250,900 862,000 673,000 463,000 54,000 39,000 687,000 260,800 682,000 3,514,000 67,000 356,000 13,000 42,000 4,000 402,000 943,000 961,600 630,000 398,800 52,000 976,500 540,000 Awards in Rest of State Awards in Bloom County N = 21 N = 25 Are Damage Awards in Bloom County Excessive? H0: There is No Difference Between the Mean Damage Award in Bloom County and the Mean Damage Award in the Rest of the State This is a Two Sample Problem
19. 19. H0: There is No Difference Between the Mean Damage Award in Bloom County and the Mean Damage Award in the Rest of the State Num of Obs. Mean Std. Dev. GROUP 1 Rest of State 21 \$371,621 \$289,823 GROUP 2 Bloom County 25 \$547,784 \$703,314
20. 20. Here is the Data Set With 2 Variables: Award = Award Amount in Dollars Bloom = Indicator Variable ( where 1 = award in Bloom County ) ( where 0 = award in rest of the State) There are Various Approaches You Might Take You can then load this into On the Left I Manually Entered the Data is in Excel Then you can calculate the two mean test
21. 21. Use an online t-test calculator http://www.graphpad.com/quickcalcs/ttest1.cfm
22. 22. Daniel Martin Katz @ computational computationallegalstudies.com lexpredict.com danielmartinkatz.com illinois tech - chicago kent college of law@