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Sta$s$cal Inference STAT 431 Lecture 7: Inferences for Single Samples (II) Review: Large Sample Inferences for Mean • Problem setup – A random sample of size n from the popula$on distribu$on F • F is not necessarily normal! – Parameter of interest: the mean μ of F – We assume that the sample size n

Statistical Inference STAT 431 Lecture 16: Multiple Regression (III) Specially Constructed Predictor Variables Example: Arrival Pattern of Calls to a Financial Call Center • The data set is from the call center of a major US bank • Each data point contains two measurements – Time: a time period of a quarter hour in a

CMPSC 461: Programming Language Concepts Assignment 4 Solution Problem 1 [15pt] Consider the following class instances in a C++ program: 1 static myClass* X; 2 int main() 3{ 4 myClass* Y = new myClass(); 5 foo(); 6 delete X; 7 return 0; 8} 9 10 11 12 13 14 void foo() { myClass Z; X

Statistical Inference STAT 431 Lecture 15: Multiple Regression (II) ANOVA and Prediction Review: The Multiple Regression Model • Variables: 1 response variable Y , and k predictor variables x1 , . . . , xk • Data: n vectors of observations(xi1,…,xik,yi),i = 1,…,n • A statistical model: Yi =0 +1xi1 +···+kxik +⇥i, i=1,…,n signal noise