Statistics 801 Fall 2013
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Statistics 801 Fall 2013
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LAB 8
Statistics 801 Fall 2013
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DO NOT EAT ANY OF THE M&Ms YET! Arrange yourselves in groups of 2-3 (preferably 3+). Hand in only
one lab per group. The lab is due Monday, November 4.
1. Count the num
Statistics 801 Fall 2013
Name_
1
Homework 3
Due in class or on BlackBoard (September 23). Please hand in individually. Make sure that you show all of your work for full
credit.
1. Additives such as trace minerals and probiotics are incorporated into anima
Statistics 801 Fall 2013
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Statistics 801 Fall 2013
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LAB 7
Statistics 801 Fall 2013
Work on this lab in groups of 2-3. Hand in only one lab per group.
3
The lab is due Friday,
October 18th by 5. You can hand in either via Blackboard, or on the third floo
Statistics 801 Fall 2013
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Statistics 801 Fall 2013
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LAB 1
Due Friday, August 30 by 5:00. Turn in one lab per person. Make sure your name is on the lab. Turn in
into my mail box in the breakroom in the Statistics Department, 3 rd floor Hardin Hall North
Statistics 801 Fall 2013
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Statistics 801 Fall 2013
2
LAB 6
Statistics 801 Fall 2013
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Work on this lab in groups of 2-3. Hand in only one lab per group. The lab is due Monday, October 14.
Multinomial and goodness-of-fit tests in SAS (PROC FREQ)
The SAS p
Statistics 801 Fall 2013
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LAB 4
You can work on this lab in groups of 2-3. It is due Monday, September 30. Hand in only one Lab for your group. Make
sure you include everyones name on the lab.
More on the normal distribution and the CLT
Examples Using th
Statistics 801 Fall 2013
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Statistics 801 Fall 2013
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LAB 5
Work on this lab in groups of 2-3. Hand in only one lab per group. Due Monday Oct. 7th
Make sure you return the dice!
One of the concepts we have been discussing in class is the idea of power. Po
Assignment
Cheng Hong 75542250
Jian Hong
1) People have higher levels of beta-endorphin in the blood under conditions of emotional stress. For 19
patients scheduled to undergo surgery, blood samples were taken (a) 12-24 hours before surgery and (b)
10 min
Statistics 801 Fall 2013
1
Statistics 801 Fall 2013
2
LAB 9
Statistics 801 Fall 2013
3
Arrange yourselves in groups of 2-3. Hand in only one lab per group. The lab is due Monday, November 11.
You can hand in either via Blackboard, in next lab, or in break
Statistics 801 Practice Problems for Final Exam Fall 2013
Practice Problems for Final Exam F2013
Make sure you show all of your work for full credit! Include the formulas that you use.
1. Randomized Complete Block Design, Contrasts and Confidence Interval
Question: On page 86 there is the formula
(n-1)S2/2 ~2n-1
What does this mean?
Answer: it is not necessary for you to use this equation. I gave it as part of the theory for how an F test
is the ratio of two Chi-Squared distributions.
Question: What is the
Statistics 801 Fall 2013
Page |1
Homework 1
Rules of Probabilities
We are not covering this material in class. You can work on this homework assignment together in groups of two.
Please put both student names on the homework. This assignment will be due i
Statistics 801 Fall 2013
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Homework 8
Due Monday December 9 by 5:00
These problems cover linear regression and contingency tables. Do all problems by hand (not SAS).
1. Do All Calculations by hand. Show all work. In an investigation of the properties of s
Statistics 801 Homework 4 Fall 2013
Homework 4
Due in class or on BlackBoard (Wednesday, October 9)
1. These data are based on a study investigating the effect of a treatment with a nerve conductioninhibiting chemical on patients complaining of post-opera
Statistics 801 Homework 5 Fall 2013
Homework 5
Due in class or on BlackBoard (Friday, October 18)
1. In class we found that the data taken from a 36 sq km area of South London did appear to be sampled from a
Poisson distribution. What would we find if we
Statistics 801 Fall 2013
Name_
1
Homework 2
Due in class or on BlackBoard (September 16). Please hand in individually. Make sure that you show all of your work for full credit.
1.
Following are the after-tax monthly incomes reported by each of nine househ
Statistics 801 Fall 2013
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Homework 6
Due in class or on BlackBoard (November 1) by 5:00.
The first three problems cover the t distribution, the fourth covers inference for two variances and the last covers
one-way ANOVA.
1) Using the t table I handed out
Statistics 801 Fall 2013
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Homework 7
Due in class or on BlackBoard (November 15) by 5:00.
These problems cover ANOVA for unbalanced data, RCBD, and orthogonal contrasts. Do the
calculations by hand and show your work. You can work together but hand in th
SAMPLE STATISTICS
A random sample of size n from a distribution f (x) is a set of n random variables
x1 , x2 , . . . , xn which are independently and identically distributed with xi f (x)
for all i. Thus, the joint p.d.f of the random sample is
f (x1 , x2
Preliminary Concepts
Definition - "Random Experiment" - Any process which produces an outcome that cannot be
perfectly predicted.
Examples
1. Plant a seed, see if it germinates
2. Take a 1 ml blood sample - observe the amount of sodium (x)
3. Number of ba
Solution for
Prob1.2.6
Pro1_2_61
First 3 Steps
1. State Null
H0: The taste of the new coffee is not superior to
that of the other three brands
or H0: new= 0.25
2. State Alternative
Ha: The taste of the new coffee is superior to that
of the other three bra
STAT 463
Spring, 2016
Homework 1
due Tuesday, 19 January 2016
1. For each of the following distributions, nd the expected value of X.
(a) f (x|) = (1
)x
(b) f (x|) = ( + 1)x
2
(c) f (x|) = xe
x
1
, x = 1, 2, . . . ; 0 1
2
, x > 1, > 0
, x > 0, > 0
2. Let
Statistics 801 - Fall 2014 page 1
Purpose
Learn about statistical methods used to answer questions raised in research. This includes collecting,
organizing and describing data and drawing conclusions from it.
What will be covered in this course
The role o
Statistics 801 - Fall 2014 page 10
Back to the Four Pillars
1.
2.
3.
4.
Significance: How strong is the evidence of the effect?
Estimation: What is the size of the effect?
Generalization: How broadly can we apply the conclusions?
Causation: Can we say wha
Statistics 801 - Fall 2014 page 83
Analysis of Variance with Unbalanced Data
Up to now, we have been dealing with balanced data or where there are the same number of
observations sampled for each treatment.
In Class Exercise: In your groups list 3-4 possi
Statistics 801 - Fall 2014 page 73
Analysis of Variance
We are going to start a new topic today, which is analysis of variance. Well start by considering a
random sample of observations from a single normal population with mean m and variance s 2 . If the
Statistics 801 - Fall 2014 page 89
Randomized Complete Block Designs
So far, all of the examples and models that we have been considering have been completely randomized
designs (CRD). Just as the name sounds, in these types of designs, the experimental u
Statistics 801 - Fall 2014 page 1
Inference for Two Variances
We have just finished describing the two sample t procedures. These procedures have the assumption
that the variances from the two populations are equal. So we are interested in testing the val
Statistics 801 - Fall 2014 page 40
the Four Pillars
1.
2.
3.
4.
Significance
Estimation
Generalization
Causation
Now well go back to estimation.
Estimation How large is the effect?
Interval Estimation Confidence Intervals
Example: Can dogs sniff out cance
Statistics 801 - Fall 2014 page 32
Back to the Four Pillars
1.
2.
3.
4.
Significance
Estimation
Generalization
Causation
We went over significance earlier. We are going to skip over estimation and talk about that later and
now cover generalization
General