Section 6.6: Order Statistics
If X1, X2, , Xn are a random sample with c.d.f. F, find the
distribution of Y = mincfw_X1, X2, , Xn and the distribution of
Z=maxcfw_X1, X2, , Xn.
What is the cdf of the smallest number seen in three rolls of an
astragalus? (
Fall 2014, CMPSC 465: Practice exam for midterm 2.
Closed book and closed notes, no cheat sheet, no calculators allowed.
Please dont use cell phones during the exam.
The exam is for 35 points. There are seven problems, each worth 5 points.
1. Give a short
Fall 2014, CMPSC 465: Practice exam for midterm 2.
Closed book and closed notes, no cheat sheet, no calculators allowed.
Please dont use cell phones during the exam.
The exam is for 35 points. There are seven problems, each worth 5 points.
1. Give a short
CMPSC 465
Data Structures and Algorithms
Lecture 25
November 20, 2014
Kamesh Madduri
Todays lecture
A Network Science-based introduction to graph
theory, graph problems, graph algorithms
A few slides from me (here), a lot of slides from
other sources (l
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Lab 10: Randomized Complete Block Design
(RCBD)
1
In Class
In this lab we will study Randomized Complete Block Design (RCBD).
Recall that, in RCBD, we divide experimental units into several blocks such
that the units are homogenous within the block, we th
Lab 9
1
In Class
In this lab we will study two-factor ANOVA with nested design. Create a
new folder Lab9.
We consider the following example:
There are three schools (A,B,C) each with two instructors. The goal is
to study how teaching performance depends o
Window for Second
Quiz is Next Friday to
Sunday
Final Exam is on Monday December
15th at 8 a.m. in 119 Osmond
Review
Section 7.2: Expectations of Sums of Random Variables
Recall: If X1, X2, , Xn are a finite collection of variables then
E( SaiXi) = SaiE(X
Review
Section 6.6: Order Statistics
If X1, X2, , Xn are a random sample with c.d.f. F, find the cdf
of Y = mincfw_X1, X2, , Xn and of Z=maxcfw_X1, X2, , Xn.
What is the cdf of the smallest number seen in three rolls of an
astragalus? (solved earlier this
Lab Activity 3
Please finish this lab activity during the class time and submit in the drop box on Angel.
Note: Please include the necessary plot(s) or Minitab output that are used to answer
each part of the following question.
1. Open the dataset Senic f
Fall 2014, CMPSC 465
Homework Assignment #7
Updated Nov 30, 2014.
Homework is due December 2, 6.40 pm. Please submit this homework in two parts:
Problems 1 and 2 are programming questions. There is a separate Angel Drop box for these
problems, so please
Review
Section 6.7: The Transformation Technique with Several
Variables
Step 1: If Y1 = u1(X1,X2) and Y2 = u2(X1,X2) check if the functions u1
and u2 are both one-to-one in the range of X1 and X2 where the joint
density f(x1,x2)0.
Step 2: If the condition
Lab Activity 4
Please finish this lab activity during the class time and submit in the drop box on Angel.
Note: Please include the necessary plot(s) or Minitab output that are used to answer each part of
the following question.
Open the dataset Temperatur
Lab Activity 5
The data set PIQ contains data on the intelligence based on the performance IQ (y = PIQ) scores
from the revised Wechsler Adult Intelligence Scale, brain size (x1 = brain) based on the count
from MRI scans (given as count/10000), and body s
Lab Activity 6
Please finish this lab activity during the class time and submit in the drop box on Angel.
Note: Please include the necessary plot(s) or Minitab output that are used to answer each part of the
following question.
Open the dataset Senic. We
Lab Activity 7
Part 1: Recall that we discussed a data set of shoes size at the beginning of this course. Previously, we
only include height as one of the predictor for response shoes size. Now we have learnt indicator
variables, we can include gender as
Lab Activity 8
Part 1: Use the Marketshare dataset (adapted from dataset C3 in the text). The data are 36 monthly
observations on variables affecting sales of a product. The objective is to determine an efficient model
for predicting and explaining market
Window for Second
Quiz is This Friday to
Sunday
Final Exam is on Monday December
15th at 8 a.m. in 119 Osmond
Review
Section 7.4: Covariance, Variance of Sums, Correlation
When X and Y are independent random variables:
E(XY) = mXmX
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