Choose one geographical area in which civilization first developed (Mesopotamia
and Egypt). Why do you think that a complex society emerged in that particular
geographic area? Then list and explain three features that make them a
civilization. Support you
A democratic form of government first developed in the ancient city-state of
Athens in the fifth century BCE. Why do you believe that democracy first began in
Greece? What influence did the Athenian government have on the foundation of
American democracy?
Debate which influence you believe to be the most important in shaping the culture of Japan. In
your debate, explain if this influence had a positive or negative effect on Japans development
and society. Make sure to provide specific examples to support y
What do you conclude about mean differences between whites and blacks? 6.
Create an error bar chart for each variable by race. Is the graph consistent with
the result from the t test? 7. For those with more timed: How could you display an
error bar chart
HOW and EXPLAIN all of your work. TURN IN this paper when asked to do so.
This is your only record of participation. PARTICIPATE in the class discussion
about the Problem. PROBLEM 9 SHOW and EXPLAIN all of your work! Suppose
a teacher at a particular high
#19. The deck is well shuffled, card is drawn and a card is drawn, find the
probability that the card is a face card, i.e. a Jack or Queen, a King or an ace.
#20. A game charges $1.00 to play and pays $4.00 if a card drawn from a well
shuffled deck such a
What do you conclude? 3. Could we use a paired-sample t test to
compare how long a customer has used SPSS products (usespss) and
how frequently they use SPSS (freqspss)? Why or why not? 9.20
Learning Activity The overall goal of this learning activity is
however, the probability of a good part being produced is only 0.35. A part
randomly chosen is inspected and found to be acceptable. At this point, what is
the posterior probability that the lathe tool is not properly adjusted? 2. Gary
Schwarts is the top
The file Census.sav, a PASW Statistics data file from a survey done on the general
adult population. Questions were included about various attitudes and demographic
characteristics. 1. We want to see whether men and women differ in their mean
socioeconomi
. It is expected that the sales follow a normal distribution with a mean of 515,000
pencils. Estimate the standard deviation of this distribution. 6. A new integrated
computer system is to be installed worldwide for a major corporation. Bids on this
proje
ACC 202 Final Project Part I Peyton
ACC 202 Final Project Part I Peyton
You are a manager for Peyton Approved, a pet supplies manufacturer. This
responsibility requires you to create budgets, make pricing decisions, and analyze
the results of operations t
Control Chart, Regression and Process Capability
-AboveWay Sandwich, Inc. Customer Satisfaction
Improvement
AboveWay Sandwich, Inc. Customer Satisfaction Improvement
Do you agree with their interpretation that the original process is stable? If NO, please
A researcher is interested in knowing if there are differences
Question
Chi-Square (Test for Independence)
First Set of Questions:
Question 1:
A researcher is interested in knowing if there are differences between the incidence
of accidents among
male and
A researcher is interested in knowing if there are differences
Question
Chi-Square (Test for Independence)
First Set of Questions:
Question 1:
A researcher is interested in knowing if there are differences between the incidence
of accidents among
male and
umuc stat200 all week discussions [ all 7 weeks ]
Actions for Week 1 Discussion
How would you use statistics for describing, exploring, and
comparing data in your daily life? What kinds of things would
you likely use these procedures for in your job? Be s
STATS Homework 4 Assignment
Question 1
Examine the time series provided in Excel #1a-c to identify the components
present
(trend, cyclical, seasonal, and/or irregular), with an indication of whether the
component
seems strong, moderate, or weak. Provide a
Peyton Approved Final Project Part II
Peyton Approved Final Project Part II
One of the measures of success in any business is profitability. All successful
managers and business owners must have an understanding of how to assess the
profitability of a com
umuc stat200 week 5,6 and week 7 discussions
week 5
Why do you think knowing how to develop estimates and calculating sample sizes are
important? What kinds of things can we learn from these two statistical procedures? How do you
think you might use them
A study of the electromechanical protection devices
Question
A study of the electromechanical protection devices used in electrical power systems showed that
of 193 devices that failed when tested, 75 were due to mechanical parts failures.
a) Find a point
MATH 3110 Brain Weights. In 1905, R. Pearl published
Brain Weights. In 1905, R. Pearl published the article Biometrical Statistics on
Man. I. Variation and Correlation in Brain Weight (Biometrika, Vol. 4, pp. 13
104). According to the study, brain weight
Weeks
1
2,3
4
5,6
7
8,9
10
11
12
Topics
Probability
Sample Spaces and the Algebra of Sets,
Probability and counting rules, Conditional Probability,
Independence,
Random Variables
Discrete Random Variables, Continuous Random
Variables, Expected Values, The
Stat 448
Notes 8 Examples
Example 1: Initial Data Exploration
The SAS data set st.cars contains information about a sample of 1993 model cars. Eighty-one 4-, 5-,
and 6-passenger models were selected from the 1993 Cars Annual Auto Issue published by Consum
Lecture 3
3.1
Method of moments.
Consider a family of distributions cfw_ : and and consider a sample X =
(X1 , . . . , Xn ) of i.i.d. random variables with distribution 0 , where 0 . We
assume that 0 is unknown and we want to construct an estimate = n (X
March 14, 2003
CHAPTER 3. MAXIMUM LIKELIHOOD AND M-ESTIMATION
3.1 Maximum likelihood estimates in exponential families. Let (X, B ) be a
measurable space and cfw_P , a measurable family of laws on (X, B ), dominated by a
-nite measure v . Let f (, x) b
Feb. 24, 2003
CHAPTER 2. SUFFICIENCY AND ESTIMATION
2.1 Sucient statistics. Classically, a statistic is a measurable function of the observations, say f (X1 , . . . , Xn ). The concept of statistic diers from that of random
variable in that a random varia
March 12, 2003
2.6 Bayes estimation. The denition of Bayes estimator is a special case of the general
denition of Bayes decision rule given in Sec. 1.3. Given a family cfw_P , of laws,
where (, T ) is a measurable space, a loss function L(, y ), the risk
18.466, Dudley
March 11, 2003
CHAPTER 1. DECISION THEORY AND TESTING SIMPLE HYPOTHESES
1.1 Deciding between two simple hypotheses: the Neyman-Pearson Lemma.
Probability theory is reviewed in Appendix D. Suppose an experiment has a set X of
p ossible outco
March 18, 2003
1.2 Decision Theory. Usually in statistics, instead of just two p ossible probability
distributions P , Q, as in the last section, there is an innite family P of such distributions,
dened on a sample space, which is a measurable space (X, B
March 18, 2003
1.3 Bayes decision theory. The distinguishing feature of Bayesian statistics is that a
probability distribution , called a prior, is given on the parameter space (, T ). Sometimes, priors are also considered which may b e innite, such as Le