Statistics 230
Homework Feedback: Assignment 6
47 Consider the popcorn data on page 3.8 of the lecture notes, with the complete ANOVA
table on page 3.29 (of slides3A 2page.pdf on the webpage). Give a 95% C.I. for each
of the following dierences in means:
Statistics 230
All Homework Assignments
Section 0
1. Computer output for analysis of a random sample of data is shown below. Some of the
quantities are missing. Compute the values of the missing quantities:
Variable N Mean SE of mean Std. Dev. Variance Mi
Statistics 230
Homework Feedback: Assignment 10
70. #A1 on pages 250-1
(a) nuisance factor is the composition of the soils associated with each of the blocks
of farmland.
(b) each plot is a unit.
(c) there are ve plots in each block of farmland. That is,
Section 1: Introduction to Experimental Design
(Section 1.1 & Chapter 4)
William Christensen
3-Factor Popcorn Experiment
Prefer:
low salt or high salt?
canola oil or buttery oil?
Orville or no-name brand?
SALT
low
low
high
high
low
low
high
high
OIL
canol
Statistics 230
Homework Feedback: Assignment 8
61. Plot of all four power curves:
63. (a) Interaction Plots:
(b) Factor #1: Gender, two levels (male and female)
Factor #2: Personality type, two levels (type A and type B)
Response: Time (seconds) spent att
Statistics 230
Homework Feedback: Assignment 4
25 (#B1 p. 116) For seeds of wild grasses:
(a) WeightRatio
(b) SpeciesNominal
(c) Percent (out of 10) that germinateRatio.although you could argue for ordinal
since only a 11 dierent responses are possible.bu
Statistics 230
Feedback for Homework 2 and 3
Section 0
1. Computer output for analysis of a random sample of data is shown below. Some of
the quantities are missing. Compute the values of the missing quantities:
Answer :
Variable N Mean SE of mean Std. De
Stat 230 - Fall 2010
Exam #1
October 8-11, 2010
NAME cfw_1 pt.:
SHOW ALL WORK ON PROBLEMS REQUIRING CALCULATIONS!
1. cfw_4 pts. Suppose we are interested in estimating a parameter . Four dierent estimators are used (A ,
B , C , and D ), with each estimate
Stat 230 Final Exam Review
Section 7
Nuisance factor
Handling nuisance influences
(randomize or block)
Randomization in CB designs
3 ways to get blocks
Decomposition for CB[1]
Statistical model and ANOVA table for
CB[1] & CB[2]
Differences between
Stat 230 Midterm #2 Review
Chapter 3
Statistical model / Decomposing a
measurement
CAZSIN and checking assumptions
Factor diagram and data decomposition
for BF designs with no interactions (e.g.,
BF[1])
o SS, df, MS, F-ratio and its
degrees of freedom,