UCLA Statistics, Neurology, LONI, Math/PIC
|STAT 13 (1a, 1b, 1c)
Introduction to Statistical Methods for the Life and Health Science
|Department of Statistics
Instructor: Ivo Dinov
||Due Date: Monday, Oct. 11, 2004
Study 1: A researcher was interested in whether pain tolerance levels were related to hair color. 100 people were selected from a group of volunteers, 25 with light blonde hair, 25 with dark blond hair, 25 brunettes and 25 redheads. The subjects underwent a series of tests and pain tolerance scores (on a scale of 0 to 100) were assessed.
Study 2: A technician is interested in the effects of using different baking temperatures on the impact strength of particle board. 200 boards are randomly allocated to 20 different baking temperatures. After the boards are baked, they are sent to a laboratory where the impact strengths are measured.
Study 3: The manager of an auto repair shop is interested in whether using a new diagnostic machine will speed up the regular servicing of cars. There are two mechanics working on regular services, one with 8 years experience while the other mechanic had only 2 years experience. One mechanic was told to use the diagnostic machine on the next 10 cars she serviced, but not use it on the following 10 cars. The other mechanic was told not to use the diagnostic machine on the next 10 cars he serviced, but to use it on the following 10 cars. Each mechanic recorded the time it took to complete the services for each of these jobs.
Study 4: A sociologist is interested in comparing the exam
for male and female students on 12 different subjects. The proper
was contacted to obtain the numbers of male and female students who
the exam and the numbers of male and female students who got each of
grades A, B, C and D.
Study 5: A large computer retail chain investigates the performance of 20 types of computer hard drives (sizes 20 GB, 40 GB, 80 GB and 160 GB from 5 different manufacturers. The company places an online survey asking users for the life span of all of these hard drives. One month later the data (10,000 online user inputs) are collected, the best (longest life span) and the worst (shortest life span) drives for each drive capacity (across manifacturers) are identified.
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