Chapter 3
ST 370 - Descriptive Statistics &
Graphics
Readings: Chapter 6.1-6.4. Videos Available on Wolfware.
This class is about analyzing data. Once we have data, we need to organize it and summarize it in useful/meaningful ways.
Descriptive Statistics
Chapter 6
ST 370 - Probability
Readings: Chapter 2.2-2.6
Recap: So far weve learned:
Why we want a random sample and how to achieve it (Sampling Scheme)
How to use randomization, replication, and control/blocking to create a valid experiment.
Methods f
Chapter 1
ST 370 - Introduction
Readings: Chapter 1 - Sections 1.1 and 1.2
Statistics - the science of designing studies or experiments, collecting data and modeling/analyzing data for the purpose of decisions making and scientific discovery when the
avai
Attach this page to the front of homework papers
ST 370 Homework Assignment 4
Due date: February 28, 2017
Student name:
Row number:
You can download the data from my webpage. Remember, you can use a software of your choosing for any problems that involve
ST 370 Homework 2 Key
5th edition 6th edition
6-1
6-1
6-5
6-5
6-8
6-8
6-38
6-46
6-73
6-57
6-65
6-81
6-1
No, the sample mean is the average value. This could fall in between values or even be a
value that the individual observations are unable to be. For i
Attach this page to the front of homework papers
ST 370 Homework Assignment 3
Due date: February 7, 2017
Student name:
Row number:
You can download the data from my webpage. Remember, you can use a software of your choosing for any problems that involve c
Chapter 5
ST 370 - Correlation and Regression
Readings: Chapter 11.1-11.4, 11.7.2-11.8, Chapter 12.1-12.2
Recap: So far weve learned:
Why we want a random sample and how to achieve it (Sampling Scheme)
How to use randomization, replication, and control/
ST 370 Homework 1 Key
Some problems are taken/modified from Raos book - Statistical Research Methods in the
Life Sciences - chapter 7.
1. An experiment was done to determine if the size of tubing (small or large) and temperature (200 F, 250 F, 300 F) of a
ST 370 Homework 3 Key
5th edition
13-1
13-2ab
13-7ac
14-5abc
6th edition
13-1 - for part c, the p-value is 0.2332
13-4ab - Note: When they say use = 0.01 this means compare
your p-value to 0.01 (smaller than 0.01 indicates unlikely to
have occurred by ran
Attach this page to the front of homework papers
ST 370 Homework Assignment 2
Due date: January 31, 2017
Student name:
Row number:
All problems are from chapter 6 in the book.
You can download the data from my webpage. Remember, you can use a software of
Chapter 4
ST 370 - Factorial Experiments and
ANOVA
Readings: Chapter 13.1-13.2, Chapter 14.1-14.4
Recap: So far weve learned:
Why we want a random sample and how to achieve it (Sampling Scheme)
How to use randomization, replication, and control/blocking
Chapter 10 Study Guide!
This test will cover Chapter 10: Introduction to Inference. There will be 10 Multiple Choice Problems and
4 Free Response Questions. Please study by practicing, reading notes, looking at resources, etc!
You should be able to:
Compu
ST 371 Final Exam Review
E-
1. The lifetime [in 10 Os of hours] of a certain co onent follows a Weibull distribution
with a mean 0 16 nd a standard deviation 0 3. e select a random sample o.ti .4
components from this population. What is the probability th
ST 371 Note Outline Week 11
Textbook: 4.4 4.6
So far, we have discussed two common continuous distributionsthe uniform and the
normal. These notes will cover other important continuous distributions.
_: A continuous rv X is said to have a gamma
distributi
ST 371 Note Outline Weeks 1 & 2
Textbook: 2.1, 2.2, 2.4 and 2.5
Probability and Statistics: An Overview
Probability is a mathematical model to quantify uncertainty in real life
Ex:
Note:
Statistics is science of making informed decisions using data
Ex:
No
ST 371 Note Outline Week 5
Textbook: 3.5 and 3.6
Ex: We are interested in learning about a student-run club on campus, which has 20
members. In this club, 10 members are women and 10 members are men.
1 if Female
Suppose we sample 1 member at random and re
ST 371 Note Outline Week 9
Textbook: 4.1 and 4.2
Recall: There are two types of random variables (rv)discrete (what we studied in Chapter 3)
and continuous (what we will study in Chapter 4).
X is continuous if:
1. X can be any value in an interval, su
ST 371 Note Outline Week 4
Textbook: 3.4
Recall our previous example(s) about test scores:
Example: A multiple choice test has 20 questions, each worth one point. Let:
1 if a student is correct on question j
Xj
0 otherwise
and let Y be a students
ST 371 Note Outline Week 6
Textbook: 5.1, 5.2
So far, we have always considered a single discrete random variable. In Chapter 5, we will
consider joint probability distributions for two random variables, first for two discrete rvs
and later for two contin
ST 371 Note Outline Week 3
Textbook: 3.1, 3.2, 3.3.
In general, data can be
Ex: People rate the statement The Patriots will win the Super Bowl. using the following
scale: Strongly Agree, Agree, Disagree, Strongly Disagree.
Ex: A consumer agency measures t
Ex: For a certain population of adults, height (in inches) follows a normal distribution with a mean
of 68 inches and a standard deviation of 3 inches.
a. We randomly select a single person from this population. What is the probability that they
are over
ST 371 Note Outline Week 12
Textbook: 5.1-5.2
In this set of notes, we return to Chapter 5 and consider joint probability distributions for
two continuous random variables, as well as distributions of sample statistics.
Joint probability density function:
ST 371 In-class Review for the Second Midterm Exam
1. The annual proportion of erroneous income tax returns filed with the IRS is a random
variable following a standard beta distribution with = 2 and = 9.
a. What is probability that in any given year ther
ST 371 Final Exam Review
1. The lifetime (in 1000s of hours) of a certain component follows a Weibull distribution
with a mean of 16 and a standard deviation of 3. We select a random sample of 50
components from this population. What is the probability
ST 371 Note Outline Week 10
Textbook: 4.3
The most common family of continuous distributions is the Normal (or Gaussian)
Distribution. Why? Many random variables have normal distributions, but even for those
that dont, their mean often does. So it applies