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25 Pages

### chapter3Part2_091007

Course: PH 1725, Fall 2009
School: Mt. Marty
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Word Count: 2455

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3 Chapter Part 2 Probability September 11, 2008 Start reading Chapter 4 The goals and skill set apply to Chapter 3 Parts 1 and 2 combined. Goal: All of inferential statistics rests firmly on probability. So these lectures on probability are designed to give you a good working knowledge of the basics of probability. Skill Set: You should be able to solve basic probability problems using the addition and...

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Mt. Marty - PH - 1725
Chapter 3 Part 1 Probability September 9, 2008The goals and skill set apply to all of Chapter 3Goal:All of inferential statistics rests firmly on probability. So these lectures on probability are designed to give you a good working knowledge of
Mt. Marty - PH - 1725
Chapter 2 Part 1A Measures of Location September 2, 2008Skill set you should have by the time we complete Chapter 2:You should know the definitions of the major measures of location (mean, median, mode, geometric mean) and variability (standard de
Mt. Marty - PH - 1725
Chapter 2 Part 1B Measures of Location September 4, 2008Class will meet in the Auditorium except for Tuesday, October 21 when we meet in 102a.Skill set you should have by the time we complete Chapter 2:You should know the definitions of the major
Mt. Marty - PH - 1725
Homework 9This homework is to be worked alone (i.e. you may ask questions of me, Renke or Yi-Ju but no one else). This homework is due at the beginning of class Thursday, December 4.For the first 4 questions the population values that you should u
Mt. Marty - PH - 1725
Homework 5You are to work alone on this homework. You may ask questions of me, Yi-Ju or Renke. You are to consult no one else. This homework is due on Tuesday, October 28, 2008 at the beginning of class. Question 1: Mr. and Mrs. R. are both know car
Mt. Marty - PH - 1725
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Intermediate Biostatistics I (PH 1725) Rules of the Road September 2, 2008Goal:By the end of Intermediate Biostatistics I (PH 1725) and II (PH 1726), you should be able to analyze studies that are well designed and that require basic statistics suc
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CSE477 VLSI Digital Circuits Fall 2001 Lecture 04: CMOS Inverter (static view)Vijay Narayanan www.cse.psu.edu/~cg477[Adapted in part from Rabaey's Digital Integrated Circuits, Prentice Hall, 1995]CSE477 L04 CMOS Inverter.1 Irwin&amp;Vijay, PSU, 2001
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CSE477 VLSI Digital Circuits Fall 2001 Lecture 17: Dynamic Sequential Circuitswww.cse.psu.edu/~cg477[Adapted in part from Rabaey's Digital Integrated Circuits, Prentice Hall, 1995]CSE477 L17 Dynamic Sequential Circuits. 1Irwin&amp;Vijay, PSU, 2001
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CSE477 VLSI Digital Circuits Fall 2001 Lecture 20: Shifters and Other Logicwww.cse.psu.edu/~cg477[Adapted in part from Rabaey's Digital Integrated Circuits, Prentice Hall, 1995]CSE477 L20 Shifters. 1Irwin&amp;Vijay, PSU, 2001Parallel ShiftersCo
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CSE477 VLSI Digital Circuits Fall 2001 Lecture 22: RAM Coreswww.cse.psu.edu/~cg477[Adapted in part from Rabaey's Digital Integrated Circuits, Prentice Hall, 1995]CSE477 L22 RAM Cores. 1 Irwin&amp;Vijay, PSU, 2001Review: Read-Write Memories (RAMs)
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CSE477 VLSI Digital Circuits Fall 2001 Lecture 23: Peripheral Memory Circuitswww.cse.psu.edu/~cg477[Adapted in part from Rabaey's Digital Integrated Circuits, Prentice Hall, 1995]CSE477 L23 Memory Peripherals. 1Irwin&amp;Vijay, PSU, 2001Review:
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Math/Stat 511February 22, 2001Using Excel to Compute and Plot PMF'sExample 1Binomial Distribution for n= 3 independent Bernoulli trails, with p=1/3. Here x denotes the number of successes. The Excel function is BINOMDIST(x,3,1/3,FALSE).Binomia
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