Statistics 2231 T
Exam Notes
O. Broderick Oluyede
UNIT 1
1. Box Plot: a graph of the five-number summary
2. Central Tendency: measures center of a distribution; mean, median, and mode
3. Descriptive Statistics:
a. Distribution: tells what values it takes
Math Study Skills Assignment
Chapter One:
My approach to homework and studying in math class is, I begin studying in a quiet room for
thirty minutes to an hour. I end a study session by reviewing notes and working on problems. To
prepare for exams I look
MINIPROJECT61
ConsiderthedataonheightsofNBAplayersthataccompanythistext(seeAppendixB).
a.
Usestatisticalsoftw
theseheightsappea
distributed?Ifnot,
tobeskewed?
b.
Computeandfo
c.
Whatpercentageof
to+?Wh
+2?Intheinter
d.
Howdothepercent
correspondingperc
(6
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World Series Contenders
Part 1.
My data set contains 58 major league baseball players. There are 29
players from the Texas Rangers and 29 players from the San
Francisco Giants. Both of these teams were world series contenders,
so Im investigating which te
Pos
Team
PlayerName
BA
C
TexasRangers
Matt Treanor
0.211 0-0.049
5
1B
TexasRangers
Justin Smoak
0.209 0.050-0.099
1
2B
TexasRangers
Ian Kinsler
0.286 .100-.149
5
SS
TexasRangers
Elvis Andrus
0.265 .150-.199
7
3B
TexasRangers
Mike Young
0.284 .200-.249
16
Statistics 2231 T
Exam Notes
O. Broderick Oluyede
Unit 3&4
1. Binomial Setting:
a. Fixed number n of observations
b. n observations are all independent
c. Success and failures
d. Probability of success [p] is the same for each observation
2. Central Limit
Statistics 2231 T
Practice Exam Notes
O. Broderick Oluyede
Unit2
1. Block Design: the random assignment of individuals to treatments is carried out
separately within each block or group
2. Coefficient of Determination: denoted by R(2) the fraction of tota
l+
4* fiA*nJc,i fi': [,a,+J
uJ #'
Chapier 1
Picturing Distributions with Graphs
Graphs or charts are an excellent way organize and present data. The
graph will present the DISTRIBUTION of values the variable/characteristic
takes on. Different types of dat
i'
fr#cfw_
/i i
*/
t
correlation & the coefficient of Determination
A residual plot can be used
the data. A numerical summary measure can be used to determine the
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our understanding of the relationship.
fits
it, the better
CORRELATION AruilLYSIS
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p"te
NAME
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done
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will
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MANDATORY ASSIGNMENT _ EXtrA
The following assignment is to ensure that each student has read the syllabus. The assignment must be
individually. lf you turn in this assignment within 1 class period of receiving it
STAT 2231
Histogram & Time Plot Examples
Goa.L
c
You are interested in buying a used 201.A Dodge Maxi van, but would like to know
more about the number of miles-per-gallon the vehicle earns. The current owner
provides you the mile-per-gallon (mpg) values
t
Normal Distribution
One of the most useful and frequently encountered distributions is for a continuous
(measureable) variable. A measureable variable can take on an infinite number of
values, hence if graphed, the histogram will have an infinite number
Ii_
Scatter Plots & Regression
cal skill is to be able to dqsqibe a relaliqlship between
iables. Statistically established relationships do not
prove that variable A "causes" a certain outcome for variable B. lnstead,
statistics allows one to show that va
Test of Hypothesis on
Below are the steps of a Test of Hypothesis
ProPortion.*t!
V
u
pr,
-i
fi large
he POPULATION
/'/
e of the POPULATION proportion
used tq rgpresent the numerical
ft!cfw_ted in the claimThe Plus 4 modifi on is NOT needed when performing
ttr/ *F&) : D*e
Mon aetT
I
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v
amp
I
e C g tlg!:gry of Itve-P isulatien-P1gPg['
o_1"
The goal of a two-sample confidence interval or test of hypothesis on any
population summary measure is to golnpare the responses ollWq
ireatments, (control/placebo gr
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