STA2023 Statistical Methods
Test #1 Review - Chapter 1 and 2.1-2.2
Section 1.1
1. Identify the population and the sample in the following study.
A study of the dietary habits of 20,000 men was conducted to find a link between high intakes of dairy product
STA2023 Statistical Methods
Test #1 Review Chapter 1 and 2.1-2.2
Section 1.1
1. Identify the population and the sample in the following study.
A study of the dietary habits of 20,000 men was conducted to find a link between high intakes of dairy products
STA2023 Statistical Methods
Test #2 Review Chapter 2 and 4
Section 2.3
1. Different varieties of the tropical flower Heliconia are fertilized by different species of hummingbirds. Over time, the
lengths of the flowers and the form of the hummingbirds beak
STA2023 Statistical Methods
Test #2 Review Chapter 2 and 4
Section 2.3
1. Different varieties of the tropical flower Heliconia are fertilized by different species of hummingbirds. Over time, the
lengths of the owers and the form of the hummingbirds beaks
Uzoamaka Catherine Mbionwu
Professor Erin Brown
The Dash
November 25, 2016
Words of Wisdom to my Beloved Children
As you read this letter, it is okay to cry; but let your tears be those of joy, rather than
sorrow. I want you all to know that I love you de
CHAPTER 3 Probability
The sample space is the collection of all its sample points.
*if GIVEN you have a reduced sample space
Properties of Probability
1. 0P(A)1 must me bound between 0 and 1 *PROBABILITY CAN NEVER BE NEGATIVE*
2. Probabilities of all samp
Chapter 9 Comparison of 2 Groups 1. A fundamental analysis in the sciences 2. Used to compare: men vs women;
republicans vs democrats 3. Compare means for quantitative variables, compare proportions for qualitative variables 4.
Sometimes compare control/e
STA3032 Section CMB-17 Lecture 07 July14, 2017 Mengmeng Chen
ABSTRACT
In chapter 7 we learn how to find Basic properties of confidence intervals, Large-Sample
confidence intervals for population mean and proportion, 3. Interval based on normal population
STA3032 Section CMB-17 Lecture 05 June 24, 2017 Mengmeng Chen
ABSTRACT
Chapter 5 outlines what the error in finding our probability can be. It defines multiple
ways of finding the error, as well as teaching us the different outcomes that can occur when
lo
STA3032 Section CMB-17 Lecture 01 July 19, 2017 Mengmeng Chen
ABSTRACT
Chapter eight teaches us how to test a hypothesis based on a single sample. We know how
to figure out which of the null hypothesis or alternative hypothesis are true based on the sever
STA3032 Section CMB-17 Lecture 02 May 30, 2017 Mengmeng Chen
ABSTRACT
This chapter outlines what probability is about. It also talks about elementary concepts of
probability. How probability can be interpreted, as well as, how the rules of probability can
STA3032 Section CMB-17 Lecture 04 June 24, 2017 Mengmeng Chen
ABSTRACT
This chapter outlines what the error in finding our probability can be. It shows what times
to use certain variables and when to use certain integral functions based on those bounds.
O
STA3032 Section CMB-17 Lecture 03 June 05, 2017 Mengmeng Chen
ABSTRACT
This chapter outlines what the error in finding our probability can be. It defines multiple
ways of finding the error, as well as teaching us the different outcomes that can occur when
STA3032 Section CMB-17 Lecture 01 May 25, 2017 Mengmeng Chen
ABSTRACT
Chapter one contains many different method of finding certain probabilities for groups and
situations. The Main focus of the chapter is to show how and how not to calculate these values
STA3032 Section CMB-17 Lecture 06 July 12, 2017 Mengmeng Chen
ABSTRACT
Chapter 6 outlines how to find and do point estimations. It lays out the different situations
and recommended methods by the statisticians. We learn how and when to use these statics f
Analysis of Variance
Sum of Mean
[IF Squares Square F Value Pr =- F
m 1 mm. m: an
Error 1551 555-75555 5.45555 -
lI.':-1]rrre1:tedTruntal 1555 155515515 -
Rent MSE 0.55? SD R-Squ re I131 SD
Dependent Mean 5-55555 Adj H-Sq 5.5155
mm -
Parameter Estimates
P
axis1 order =(1 to 10 by 1);
axis2 order =(0.33 to 2 by 0.1)
minor = (number=0.33);
symbol value = dot;
proc boxplot data=Red;
plot quality*sulphates / vaxis =axis1
haxis = axis2;
run;
proc sort data=Red;
by sulphates;
run;
proc gplot data = Red;
plot qua
https:/v8doc.sas.com/sashtml/lrcon/z1081414.htm
http:/www.psychstat.missouristate.edu/multibook/mlt07.htm
http:/mathforum.org/workshops/sum96/data.collections/datalibrary/data.set6.ht
ml
one someone already did
https:/onlinecourses.science.psu.edu/stat857
1)
2)
Ch.4
a) Discrete & continuous variables
i) Discrete- random variable that is finite/ countable # of possible outcomes that can be listed
(1) Countable x=cfw_0,1,2,3,4,5
ii) Continuous- a random variable is cont. when it has an uncountable # of possi
CH 2 PPT Examples
What is your political affiliation?
R
I
I
R
R
D
I
D
D
R
R
D
D
R
R
R
I
D
D
R
I
R
D
D
R
R
I
R
R
D
I
R
Frequency/Relative Frequency Table:
Class
Frequency
Relative Frequency
R
16
D
12
I
8
n=
Bar Chart:
Pie Chart:
16/36 = .44
D
D
R
I
Sample