Calculus Applications: Probability Distributions (Math 116d) -- First half of Fall 2003

Instructor Rob Manning (rmanning@haverford.edu)
Office Hilles 207C (896-1210)
Class meetings MWF 10:30--11:30 AM
Discussion Sections W 3-4 PM (Hilles 011), W 8-9 PM (Link 205), Th 12-1 PM (Hilles 012),
Textbook Probability and Statistics for engineering and the sciences, Devore, 6th edition (Brooks-Cole, 2003).


Practice problems for midterm Solutions



Practice problems for final Solutions



HW assignments and solutions



Syllabus


Prerequisites: Math 114 (integral calculus) or equivalent.

Course summary :
This course serves several purposes:
it gives an introduction to probability and its many applications;
it presents ways of managing and analyzing experimental data such as you might collect from a survey or in a laboratory course;
it will show you a powerful application of integral calculus and let you sharpen your integration skills;
it is good preparation for a statistics course, such as Math 203h, or a social sciences statistics course

Topics will include:

descriptive statistics
fundamental laws of probability
discrete and continuous random variables (including binomial, Poisson, normal, exponential)
expected value and variance
sample mean and standard deviation
brief introduction to some ideas from statistics: distribution of sample statistics, central limit theorem, hypothesis testing, estimation

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rmanning@haverford.edu