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Relations
Gender Extremely separate Women supposed to have been given first plants by their gods/mythical clans
As a result, they have power of life (plant life, and human life)
Men took part in diplomacy, ceremony, hard labor
Hunted, war, etc
Women did contain unwritten political power
Controlled clan vengeance, justice
Clans
Mythological creatures
In colonial times: Bear, Eagle, Wolf, Tyger (panther) Core of Creek society These houses stand in clusters of four, five, six, seven and eight together, irregularly distributed up and down the banks of rivers or small streams; each cluster of houses contains a clan, or family of relations, who eat and live in common Clans unite different towns in ways not even language could (clans cannot inner-marry)
Matrilineal power
Matrilocal: after marriage, man moved in with woman, connected two towns and two clans Kinship moved through mother
Child belonged to clan of mother, not father Matrilineages lived together, tied into clans Hunting expeditions: man time uncles played with children, not fathers
Chiefly Power
Chief advised by head warriers (tustunnuggee thlucco) and Beloved Men Mix of matrilineal and experience
On death of a micco, nephews would be tapped if one is not equal to his office, they elect another
Intermarriage
Perhaps most important linkage to outside world Absolutely necessary to become close to a Creek community Impact of British/Scottish traders
Mixed offspring (half-breeds or mestizo) build ties to communities
Maroons/Spanish Sanctuary
Africans a part of new world since Spanish entradas cimmarone becomes Seminole and maroon Marrons a part of almost every new world experience, but become vital to Florida experience because of Spanish presence
Surinam
Jamaica
Spanish Free Black Militia Integral part of colonial security morenos pardos
Florida = first real underground railroad
1687 first Africans come into St. Augustine, fleeing from Carolina If they become Catholic, and work for a short period on public works, they will be free It has been notified that eight black males and two black females who had run away from the city of San Jorge, arrived to that presidio asking for the holy water of baptism, which they received after being instructed in the Christian doctrine. Later on, the chief sergeant of San Jorge visited the city with the intention to claim the runaways, but it was not proper to do so, because they had already become Christians....As a prize for having adopted the Catholic doctrine and become Catholicized, as soon as you get this letter, set them all free and give them anything they need, and favor them as much as possible. I hope them to be an example, together with my generosity, of what others should do.
I am sorry we are obliged so often to represent to the Government the difficulty we labor under, from the new situation of St. Augustine to this place, whom without any regard to peace or war, do continually annoy our Southern frontiers. The hostilities they commit upon us may be rather termed robbery, murders, and piracies, they acting the part bandittis, of more than soldiers, their chief aim being to murder and plunder. We formerly complained of their receiving and harboring all our runaway negroes, but since that they have found out a new way of sending our own slaves against us, to rob and plunder us; They are continually fitting out parties of Indians from St. Augustine to murder our white people, rob our plantations and carry off our slaves, so that we are not only at a vast expense in guarding our Southern frontiers, but the inhabitants are continually alarmed, and have no leisure to look after their crops. The Indians they send against us are sent out in small parties headed by two three or more Spaniards and sometimes joined with negroes, and all the mischief they do, is on a sudden, and by surprise: and the moment they have done it, they retire again to St. Augustine, and then fit out again, so that our plantations, being all scattering, before any men can be got together, the robbers are fled, and nobody can tell how soon it may be, or where they intend to make their next attempt.
Stono Rebellion
Edisto River, S.C. 1739 80 slaves march southward, waving banners, singing songs, killing people, say they are going to St. Augustine Cut off by militia, most are killed. They do manage to kill 40-45 whites, including 2025 on plantations which are burnt
Gracia Real de Santa Teresa de Mose (1739)
Allowed and encouraged by Spanish Given to black homesteaders who would form militia Fist line of defense for St. Augustine Burned in 1740 by Georgians Rebuilt in 1752
Seminole Slavery
Is it really slavery? People have said its democratic feudalism How does it compare to coalescent societies, tribute, prestige of a chief?
1824
Peliklikaha: chiefly slaves from Georgia, who have put themselves under the protection of Micanopy, a local Seminole chief, who they call master. To him they provided a tribute of one-third of the produce of the land, and one-third of the horses, cattle, and fowls they may raise; otherwise, they were free to go and come at pleasure, and in some cases are elevated to the position of equality with their masters. They cultivated extensive fields and lived in fine houses, many of which were larger and more comfortable than those of the Indians themselves. Altogether, McCall concluded, We found these men to be shrewd, intelligent fellows, and to the highest degree obsequious.
1836
They live in villages separate, and, in many cases, remote from their owners, and enjoying equal liberty with their owners, with the single exception that the slave supplies his owner, annually, from the product of his little field, with corn, in proportion to the amount of the crop; and in no instance, that has come to my knowledge, exceeding ten bushels; the residence is considered the property of the slave. Many of these slaves have stocks of horses, cows, and hogs, with which the Indian owner never assumes the right to intermeddle.
Is this really slavery, or is it want southern people want to see? Ethnohistorical interpretation: view through Native culture, not European or American

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FSU - HIST - AMH 2097

Summary, by late 1700sNew groups form over long processesCreeks, Choctaws, Cherokees, ChickasawsTrade involves Indians in international economy, cultural changes and increased conflict Slaving then deerskins Hunting v. FarmingIncreased contact with

FSU - HIST - AMH

Timucua-largest ~ 200,000 people not one unified tribe meeting squares not mounds not a strict political structure- confederacy status predecessors to many tribesCulture - Sun and moon gods & deer and bear - Did not hunt constantly- smaller animals and

FSU - HIST - AMH

Ballgame -Timucua Ballgame adapted from Le Moyne Large groups of people, sometimes entire villages Ball pole in the center of the town (highlight the town) Celebrities on par with the leaders Fufills religious reasons- pleases sun, thunder, and rain gods

National University of Singapore - STAT - ST3131

Solutions to Tutorial Questions 1 1.For model Yi = 0 + 1 Xi + iassume that X = 0 is within the scope of the model. What is the implication for the regression function Yi = 0 + 1 Xi if 0 = 0 so that the model is Yi = 1 Xi + i ? How would the regression f

National University of Singapore - STAT - ST3131

Solutions to Tutorial 2 1. (a) Y = 10.2 + 4.00X (SE ) (0.6633) (0.4690) M SE = 2.199289, see code (R code) for the plot. Yes, the linear regression function ts the data well. (b) Y = 10.2 + 4.00 1 = 14.2 (c) b1 t(0.975, 8) s(b1 ) = 4 2.306 0.469 = [2.9184

National University of Singapore - STAT - ST3131

Solution to TUTORIAL 3 1. (R code) (a) [3.061384, 3.341033] on average, with 95% condence, the mean freshman GPA is between 3.061384 and 3.341033 when their ACT test scores are 28 (b) [1.959355, 4.443063], with 95% condence her GPA will be between 1.95935

National University of Singapore - STAT - ST3131

Solutions to Tutorial 4 1. An output of a simple linear regression model Yi = 0 + 1 Xi + i , is as follows Coecients: Estimate Std. Error t value P-value (Intercept) -0.07727 0.12005 -0.644 0.537814 x 0.97295 0.14345 6.783 0.000140 Residual standard error

National University of Singapore - STAT - ST3131

Tutorial 5 1. Suppose we have n = 10 observations (Xi , Yi ) and t the data with modelYi = 0 + 1 Xi + i with i , i = 1, ., 10 are IID N (0, 2 ). We have the following calculations.n X = 0.5669,n i=1 Y = 0.9624,i=1 nYi2 = 10.2695,Xi2= 4.0169,i=1

National University of Singapore - STAT - ST3131

Solution to Tutorial 6 1.For each of the following regression models, indicate whether it is a general linear regression model. If not, state whether it can be expressed in the form of a linear regression model after some suitable transformation a. b. c.

National University of Singapore - STAT - ST3131

Tutorial 7 1.A student stated: Adding predictor variables to a regression model can never reduce R2 , so we should include all available predictor variables in the model. Comment.Bigger R2 , means the tting is better. Better tting does not imply better

National University of Singapore - STAT - ST3131

Solution to Tutorial 8 1. (a) Hard hat: E (Y ) = 0 + 2 + 1 X1 Bump hat: E (Y ) = 0 + 3 + 1 X1 None: E (Y ) = 0 + 1 X1 (b) (1) H0 : 3 = 0; Ha : 3 = 0; (1) H0 : 3 = 2 ; Ha : 3 = 2 ; 2. (1) 3 means the dierence in the intercepts between M2 and M4 (2) 4 3 is

National University of Singapore - STAT - ST3131

Solutions to Tutorial 9 1. (a) (145) (b) (0)0.9596; (4)0.7338; (45)(-0.1927); (145)(-4.6600) The model calculated: (0), (1), (2), (3), (4), (5), (14), (24), (34), (45), (145), (245), (345), (1245), (1345). (c) (12345)(-4.5600), (1345)(-4.6157), (145)(-4.6

National University of Singapore - STAT - ST3131

Tutorial 10 1. Derive the weighted least square normal equations for tting a simple linear regression func2 tion when i = kXi , where k > 0 is a constant.Let Qw (b0 , b1 ) =n i=11 (Yi b0 b1 Xi )2 kXiand Qw (b0 , b1 ) = 2 b0nQw (b0 , b1 ) = 2 b1i=1

National University of Singapore - STAT - ST3131

Tutorial Questions 1 1. For model Yi = 0 + 1 Xi + i assume that X = 0 is within the scope of the model. What is the implication for the regression function Yi = 0 + 1 Xi if 0 = 0 so that the model is Yi = 1 Xi + i ? How would the regression function Yi =

National University of Singapore - STAT - ST3131

Tutorial 2 1. Airfreight breakage A substance used in biological and medical research is shipped by airfreight to users in cartons of 1000 ampules. In the (data), X is the number of times the carton was transferred from one aircraft to another over the sh

National University of Singapore - STAT - ST3131

TUTORIAL 3 1. Refer to the Grade point average problem (see tutorial 1) (a) obtain a 95% percent interval estimate of the mean freshman GPA for students whose ACT test score is 28. Interpret your condence interval. (b) Mary Jones obtained a score of 28 on

National University of Singapore - STAT - ST3131

Tutorial 4 1. An output of a simple linear regression model Yi = 0 + 1 Xi + i , is as follows Coecients: Estimate Std. Error t value P-value (Intercept) -0.07727 0.12005 -0.644 0.537814 x 0.97295 0.14345 6.783 0.000140 Residual standard error: 0.3761 on 8

National University of Singapore - STAT - ST3131

Tutorial 5 1. Suppose we have n = 10 observations (Xi , Yi ) and t the data with model Yi = 0 + 1 Xi + i with i , i = 1, ., 10 are IID N (0, 2 ). We have the following calculations.n X = 0.5669,n i=1 Y = 0.9624,i=1 nYi2 = 10.2695,Xi2 = 4.0169,Xi Y

National University of Singapore - STAT - ST3131

Tutorial 6 1. For each of the following regression models, indicate whether it is a general linear regression model. If not, state whether it can be expressed in the form of a linear regression model after some suitable transformation a. b. c. d. e. Yi =

National University of Singapore - STAT - ST3131

Tutorial 7 1. A student stated: Adding predictor variables to a regression model can never reduce R2 , so we should include all available predictor variables in the model. Comment. 2. For a model with X1 , X2 , X3 , X4 predictors, we have n = 30 and SSE (

National University of Singapore - STAT - ST3131

Tutorial 8 1. In regression analysis of on-the-job head injuries of warehouse laborers caused by falling objects. Y is a measure of severity of the injury, X1 is an index reecting both the weight of the object and the distance it fell, and D1 and D2 are i

National University of Singapore - STAT - ST3131

Tutorial 9 1. Suppose Y has 5 covariates X1 , X2 , X3 , X4 , X5 denote any model Y = 0 + i Xi + j Xj + k Xk + by (ijk). All the models can be listed as (0), (1), (2), (3), (4), (5), (12), (13), (14), (15), (23), (24), (25), (34), (35), (45), (123), (124),

National University of Singapore - STAT - ST3131

Tutorial 10 1. Derive the weighted least square normal equations for tting a simple linear regression2 function when i = kXi , where k > 0 is a constant.2. For linear regression model Yi = 0 + 1 Xi1 + . + p Xip + i , with 2 1i = 1, ., n. 0 . 0 1 0 2

National University of Singapore - STAT - ST4240

Midterm Test for ST4240 Data Mining (please answer all the questions for full marks. Please send your answer to staxyc@nus.edu.sg)1. For data A (at http:/www.stat.nus.edu.sg/~staxyc/DM07testdata1.dat), there are 5 predictors X1, , X5 and response Y. A Si

National University of Singapore - STAT - ST4240

Tutorial 1 1. Prove the solution of ridge regression estimatorn p R = mincfw_ i=1 n(Yi Xi )2 + k=1 n2 kis R = (Xi Xi + I )i=11 i=1Xi Yior R = (X X + I )1 X Y . what about R = mincfw_ i=1 n p(Yi Xi ) +k=122 k kwhere k > 0, k = 1, ., p 2.

National University of Singapore - STAT - ST4240

Tutorial 1 1.Prove the solution of ridge regression estimatorn p R = mincfw_( Yi Xi ) + k=12k2i=1is R = (nXi Xi + I )i=11nXi Yii=1or1 R = (X X + I ) X Y.what about R = mincfw_np( Yi Xi ) +k=12k k2i=1where k > 0, k = 1, ., p2.

National University of Singapore - STAT - ST4240

Tutorial 2 1. Suppose we have observations (Xi , Yi ) sorted according to X : ., (0.5, 1.2), (0.6, 1.4), (0.7, 1.5), (0.8, 1.7), (0.9, 1.5), (1.0, 2), (1.1, 2.2), (1.2, 1.6), (1.3, 1.7), (1.4, 1.9), (1.5, 1.7), . If we use Epanechnikov kernel with bandwid

National University of Singapore - STAT - ST4240

Tutorial 2: suggested solution 1.Suppose we have observations (Xi , Yi ) sorted according to X : ., (0.5, 1.2), (0.6, 1.4), (0.7, 1.5), (0.8, 1.7), (0.9, 1.5), (1.0, 2), (1.1, 2.2), (1.2, 1.6), (1.3, 1.7), (1.4, 1.9), (1.5, 1.7), . If we use Epanechnikov

National University of Singapore - STAT - ST4240

Tutorial 3 1. Suppose that X follows a uniform distribution, then for the inner points, the local linear kernel estimator and local constant (NW) estimator have the same asymptotic MSE. 2. For model Y = sin(2X ) + where X unif orm(0, 1) and is independent

National University of Singapore - STAT - ST4240

Suggested Solutions for Tutorial 3 1.Suppose that X follows a uniform distribution, then for the inner points, the local linear kernel estimator and local constant (NW) estimator have the same asymptotic MSE.The MSE for NW kernel estimator is 1 2 d0 M S

National University of Singapore - STAT - ST4240

Tutorial 4 1. The air pollutants include nitrogen dioxide (NO2 ), Carbon dioxide (CO), sulphur dioxide (SO2 ), respirable particulates (PM), Ozone (O3 ) and others. Pollutants can be classied as either primary or secondary. Primary pollutants are substanc

National University of Singapore - STAT - ST4240

Tutorial 3: Suggested solutions 1.The air pollutants include nitrogen dioxide (NO2 ), Carbon dioxide (CO), sulphur dioxide (SO2 ), respirable particulates (PM), Ozone (O3 ) and others. Pollutants can be classied as either primary or secondary. Primary po

National University of Singapore - STAT - ST4240

Tutorial 5 1. comparing the estimators of on the top of page 2 (chapter 2 part 1 ) and (2.3) on page 3 of part 2. Explain why there is no weight function in the estimator of page 2. 2. Based on the notation in Lecture note (Chapter 2, part 2), eqns betwee

National University of Singapore - STAT - ST4240

Tutorial 4: Suggested solutions 1.comparing the estimators on the top of page 4 (chapter 2 part 1 ) and (2.3) on page 3 of part 2. Explain why there is not weight function in the estimator of page 4.Because the estimation on the top of page 2 (chapter 2

National University of Singapore - STAT - ST4240

Tutorial 6 1. Suppose m(x1 , ., xp ) = (1 x1 + . + p xp ). Prove that m(x1 ,.,xp ) x1 m(x1 ,.,xp ) x2 xp 1 = (1 x1 + . + p xp ) 2 . . m(x1 ,.,xp ) p 2. For a single-index model Y = ( X ) + . Suppose (Xi , yi ) are the observations and the estimator for

National University of Singapore - STAT - ST4240

Tutorial 6: suggested solutions 1.Suppose m(x1 , ., xp ) = (1 x1 + . + p xp ). Prove that m(x ,.,xp ) 1 x1 1 m(x1 ,.,xp ) 2 x2 = (1 x1 + . + p xp ) . . m(x1 ,.,xp ) xp pproof: Because m(x1 , ., xp ) = (1 x1 + . + p xp )k xk 2.For a single-index model

National University of Singapore - STAT - ST4240

Tutorial 7 1. Suppose we use model Y= a0 + b0 x1 + c0 x2 + 0 , if x1 + x2 < 0, a1 + b1 x1 + c1 x2 + 1 , if x1 + x2 0.to t data (xi1 , xi2 , Yi ), i = 1, 2, ., n. Write the procedure to calculate the (deleteone-out) CV value. 2. For model Y = 4x1 x2 + , n

National University of Singapore - STAT - ST4240

Tutorial 6: suggested solutions 1.Suppose we use model Y= a0 + b0 x1 + c0 x2 + 0 , a1 + b1 x1 + c1 x2 + 1 , if x1 + x2 < 0, if x1 + x2 0.to t data (xi1 , xi2 , Yi ), i = 1, 2, ., n. Write the procedure to calculate the (delete-one-out) CV value.CV= n

National University of Singapore - STAT - ST4240

Tutorial 8 1. suppose we have sample (xi , yi ), i = 1, ., n. we estimate the regression model yi = g (xi ) + i , where g (x) is a spline function of the formJ +4g (x) =j =1j Bj (x)(a) Estimate the derivative g (x) of g (x) (b) nd the 95% condence ba

National University of Singapore - STAT - ST4240

Tutorial 8: suggested solutions 1.suppose we have sample (xi , yi ), i = 1, ., n. we estimate the regression model yi = g (xi ) + i , where g (x) is a spline function of the formJ +4g (x) =j =1j Bj (x)(a) Estimate the derivative g (x) of g (x) (b) n

National University of Singapore - STAT - ST4240

Tutorial 9 1. Suppose we need to estimate a varying coecient model Y = a0 (x1 ) + a1 (x2 )x3 + with sample (xi1 , ., xi3 , Yi ), i = 1, ., n. Using cubic spline to approximate ak (z ). (a) write the expression for the estimator of a1 (z ) (b) nd the 95% c

National University of Singapore - STAT - ST4240

Tutorial 9: solutions 1.Suppose we need to estimate a varying coecient model Y = a0 (x1 ) + a1 (x2 )x3 + with sample (xi1 , ., xi3 , Yi ), i = 1, ., n. Using cubic spline to approximate ak (z ). (a) write the expression for the estimator of a1 (z ) (b) n

National University of Singapore - STAT - ST4240

Tutorial 10 1. Both linear regression model and separating hyperplane in classication (in e.g. SVM) are looking for a linear combination of covariates. Explain their dierence in the estimation and the rules in prediction. 2. we can use support vector mach

National University of Singapore - STAT - ST4240

Tutorial 10: solutions 1.Both linear regression model and separating hyperplane in classication (in e.g. SVM) are looking for a linear combination ofcovariates. Explain their dierence in the estimation and the rules in prediction.Linear regression mode

National University of Singapore - STAT - ST4240

Tutorial 11 1. Based on (training set), using all the classication methods to classify the (validation set). Please adjust the parameters in all the method to rene the performance of the methods for the validation set.1

National University of Singapore - STAT - ST4240

Tutorial 11: solutions 1. Based on (training set), using all the classication methods to classify the (validation set). Please adjust the parameters in all the method to rene the performance of the methods for the validation set.(CODE)1

Abant İzzet Baysal University - ENGLISH - 23

A dvantages Cloud base- T his service provides companies the opportunity to have a cloud based platform. For instance, the maintenance of cloud computing applications is easier, since they do not have to be installed on each persons computer. In addition,

University of Phoenix - MAT - 116

Axia College MaterialAppendix D Landscape DesignLandscape designers often use coordinate geometry and algebra as they help their clients. In many regions, landscape design is a growing field. With the increasing popularity of do-it-yourself television s

Stratford - ACC - acc565

Washington - CHEM - 145

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Washington - CHEM - 145

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Washington - CHEM - 145

Balancing Chemical Equations I. Chemical Equations A. Reactants written on left B. Products written on right C. Conditions are written over/under the arrow D. Atoms and masses are conserved in chem. rxn 1. meaning you must have equal masses on each side o

Washington - CHEM - 145

Name_Calculating empirical formulas of compoundsExample:What would be the empirical formula for a compound that contains 32.38% Na, 22.65% S, and 44.99% O 1. Assume you have 100grams. So convert the percentages to grams2. Convert from grams to moles by

Washington - CHEM - 145

C alorimetry WorksheetsPhase ChangesImagine a simplified model of a solid as tiny particles bonded together by springs. The spring represent the electromagnetic forces between the particles. If the thermal energy of a solid is increased, both the potent

Washington - CHEM - 145

Study Guide Chapter 1-3, and portions of 15 & 17 Key WordsHomogeneous/heterogeneous Density Mixture Compound Elements Solution/solvent/solute Matter/atoms/Molecules Calorimetry Heat/Temperature/specific heat/heat capacity Know the symbols Q, Cp, : if Q i

Washington - CHEM - 145

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Washington - CHEM - 145

Dalton's Law of Partial Pressures Page 334-6 John Dalton was the first to form a hypothesis about the pressure one gas exerts on another in a mixture. When a gas is one of a mixture, its pressure is called a partial pressure. After experimenting with gase

Washington - CHEM - 145

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Washington - CHEM - 145

Name:Gas law problems1. A sample of gas occupies 14.3 L at 19 C and 1.2 atm. How many moles of gas are present?2. How many moles of Hydrogen gas are present in a 50 L cylinder if the pressure is 10 atm and the temp is 27 C? R=.082 liter-atm/mol-K3. Wh