HW #1
STAT 333
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Show all your work! No work = no points.
For any statistical hypothesis tests, dont forget to write (your hand writing!) H0, H1, and
conclusion in plain terms. Each of these items will be graded separately!
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Lab #1
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STAT 333
In any report, show all your work! No work = no points.
For any statistical hypothesis tests, dont forget to write (your hand writing!) H0, H1, test
statistic, pvalue, and conclusion in plain terms. Each of th
Chapter 6. Diagnostics
Assumptions of a regression model:
Errors: Errors are independent, have equal variance and are normally distributed, i.e., ~ N (0, 2 I )
Unusual observations: Study of unusual observations can change the choice and fit of t
Chapter 3. Inference
Assume the errors are independent and identically distributed as normal with mean 0 and common
variance 2 . Then the least squares estimates of the linear model Y X will have
X T X
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X T Y ~ Normal mean , varaince X T X
1
HW #4 (Due Monday 9/19/16)
STAT 333
Be sure to attach R printout & clearly indicate which part answers what question. Be sure to add
comments where they are needed! No comments = no points!
This is a data frame with 200 observations from a large state uni
HW #2 (Due Wednesday 9/07/16)
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STAT 333
Show all your work! No work = no points.
For any statistical hypothesis tests, dont forget to write (your hand writing!) H0, H1, and
conclusion in plain terms. Each of these items will be graded separately!
For
HW #3 (Due Monday 9/12/16)
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STAT 333
Attach R printout & clearly indicate which part answers what question. No markings = no points!
#1. Go to my webpage at http:/users.humboldt.edu/ygkim. Click Sample Data (Excel file), and
choose Chapter 11 tab, then s
HW #1 (Due Mon 8/29/16)
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STAT 333
Show all your work! No work = no points.
For any statistical hypothesis tests, dont forget to write (your hand writing!) H0, H1, and
conclusion in plain terms. Each of these items will be graded separately!
For each