Stat 1430 Recitation 2A
Experiments
SOLUTIONS
Suppose we want to study and compare the volume of popcorn produced by two brands of
microwave popcorn. We will take 30 bags of popcorn of brand A and 30 of brand B and cook
them various amounts of time in a r
Stat 1430 Recitation 1B
SOLUTIONS
1. A pharmaceutical company interested in measuring how often physicians prescribe a certain
drug has selected a simple random sample from each of two groups: M.D. (Medical Doctors)
and D.O. (Doctors of Osteopathic). What
STAT 1450 COURSE NOTES CHAPTER 8
PRODUCING DATA: SAMPLING
Connecting Chapter 8 to our Current Knowledge of Statistics:
Part I of the text emphasized ways of organizing, analyzing, and even interpreting data.
Now, well focus on methodologies associated wit
STAT 1450 COURSE NOTES CHAPTER 9
PRODUCING DATA: EXPERIMENTS
Connecting Chapter 9 to our Current Knowledge of Statistics
Chapter 8 focused on data collection through sampling.
There were two primary classes of sampling: scientific and non-scientific.
But,
Chapter 3: The Normal Distributions
STAT 1450
3.0 Introduction
Connecting Chapter 3 to our Current Knowledge
of Statistics
In Chapters 1 and 2, we explored distributions for quantitative variables
by:
making graphical displays of data
(Chapter 1),
look
STAT 1450 COURSE NOTES CHAPTER 4
SCATTERPLOTS AND CORRELATION
Connecting Chapter 4 to our Current Knowledge of Statistics
Our conversation to date has focused on counts or measurements of one variable.
We will extend the conversation to measure a pair of
Chapter 2: Describing Distributions
with Numbers
STAT 1450
Connecting Chapter 2 our Current Knowledge of
Statistics
In Chapter 1 we used graphical displays to summarize data. We will
now shift to describing data numerically.
We will use numbers to descr
Chapter 2: Describing Distributions
with Numbers
STAT 1450
Connecting Chapter 2 our Current Knowledge of
Statistics
In Chapter 1 we used graphical displays to summarize data. We will
now shift to describing data numerically.
We will use numbers to descr
STAT 1450 COURSE NOTES CHAPTER 3
THE NORMAL DISTRIBUTIONS
Connecting Chapter 3 to our Current Knowledge of Statistics
Quick Review: Chapters 1 and 2, we explored distributions for quantitative variables by
Chp. 1
- making graphical displays of data.
Chp.
STAT 1450 LECTURE NOTES CHAPTER 1
PICTURING DISTRIBUTIONS WITH GRAPHS
Statistics is about thinking critically. By becoming statistically literate, you will learn common
statistical terms and their uses. Sound statistical literacy, thinking, and reasoning
STAT 1430 Final Exam Review
04/26/2016
Andy McCarthy
Disclaimer:
This review will NOT include all the material that you
need to know for the final exam
This review is meant to highlight important and/or
difficult material
This review is meant to help y
MC/TF: (5 pts each) YOUR FINAL ANSWERS MUST BE PLACED ON THE ANSWER
SHEET ON THE LAST PAGE. WE WILL NOT GRADE WHAT YOU WRITE BELOW.
1) For the following data set, which of the following numbers is closest to the actual standard
deviation? (DO NOT calculat
Practice Pbms Section 4.3 Random Variables
1. If X is random variable with a standard deviation of 10, then 3X has a standard deviation
equal to
a. 10
b. 30
c. 90
d. None of the above
2. The probability density function f(x) for a uniform random variable
PRACTICE PROBLEMS for MATERIAL AFTER MIDTERM 2 (Stat 1430H)
NOTE; ALSO BE SURE TO STUDY THE IN-CLASS ASSIGNMENTS FOR ADDL PBMS
1.
The mean of X is equal to
a. TRUE
2.
.
b. FALSE
If X has a normal distribution, when does
a.
b.
c.
d.
3.
X
X
also have a norm
Stat 3470: Introduction to Probability and Statistics for Engineers
Homework 2 Solution
2.4 #45
P( A) 0.106 0.141 0.200 0.447
P(C) 0.215 0.200 0.065 0.020 0.500
P( A C ) 0.200
P( A C ) 0.200
b) P( A | C )
0.4 meaning given that an individual from ethnic
Stat 3470: Introduction to Probability and Statistics for Engineers
Homework 4 Solution
3.4 #60
Let Y denote the revenue. Then Y = h(x) = 1(X) + 2.50(25 X) = 62.5 1.50X
X ~ Bin (x; 25, 0.60)
E(X) = np = 25(0.60) = 15 passenger cars.
E(Y ) Y E(62.50 1.50 X
Stat 3470: Introduction to Probability and Statistics for Engineers
Homework 3 Solution
3.1 #4
Possible values of X are 0, 1, 2, 3, 4
Answers may vary for four digits PINs. For example:
8701 with X (8701) = 3
0890 with X (0890) = 2
9876 with X (9876) = 4
Stat 3470: Introduction to Probability and Statistics for Engineers
Homework 1 Solution
2.1 #3
a) A cfw_SSF , SFS , FSS
b) B A cfw_SSS cfw_SSF , SFS , FSS , SSS
c) C cfw_SSF , SFS , SSS
d) C ' cfw_FSS , FSF , FFS , FFF , SFF
A C B , see above
A C cfw_SS
Print
Last name
First name
First 5 letters of
last name
MI
K
E
OSU dot #
Y
Failure to follow these instructions will result in automatic point deductions:
Turn off all cell phone and/or other PDA devices and stow them in your book bag. You may not use cel
Print
Last name
First name
First 5 letters of
last name
MI
K
E
OSU dot #
Y
Failure to follow these instructions will result in automatic point deductions:
Turn off all cell phone and/or other PDA devices and stow them in your book bag. You may not use cel
Print
Last name
First name
First 5 letters of
last name
MI
K
E
OSU dot #
Y
Failure to follow these instructions will result in automatic point deductions:
Turn off all cell phone and/or other PDA devices and stow them in your book bag. You may not use cel
Print
Last name
First name
MI
First 5 letters of
last name
OSU dot #
Failure to follow these instructions will result in automatic point deductions:
Turn off all cell phone and/or other PDA devices and stow them in your book bag. You may not use cell phon
Recitation Week 5 Autumn 2016
Big Idea Using 2 independent samples to compare two population means, 1 and 2, or to compare two population
proportions, p1 and p2.
We continue to require SRS and a Normal distribution for the sample statistic (estimator).
Recitation Practice Problems
One-Way ANOVA Part II
Big Idea If the ANOVA test rejects the null hypothesis of equal means, perform a post hoc analysis of
the differences in means. There are many methods, including:
Fishers Method = no correction: The fami
Recitation Notes and Practice Problems
Two-Way ANOVA
Big Ideas
2 Factors Factor A and Factor B - are categorical sorting variables
o Factor A has a or I levels
o Factor B has b or J levels
Combining each level of Factor A with each level of Factor B creat
Print
Last name
First name
MI
First 5 letters of
last name
OSU dot #
Failure to follow these instructions will result in automatic point deductions:
Turn off all cell phone and/or other PDA devices and stow them in your book bag. You may not use cell phon
Recitation Week 9 Autumn 2016
Chi-Square Tests
Big Ideas
This is a class of tests for categorically represented data. The tests are based on a comparison of what is actually
observed in categories to what is theoretically expected to occur in those categ
Recitation Practice Problems
One-Way ANOVA Part I
Big Ideas
H0: 1 = 2 = = k
Ha: Not all i are the same, or Ha: At least two i are different
Know all relevant terminology/definitions
o Factor = categorical sorting variable that creates/defines the differe
Print
Last name
First name
MI
First 5 letters of
last name
OSU dot #
Failure to follow these instructions will result in automatic point deductions:
Turn off all cell phone and/or other PDA devices and stow them in your book bag. You may not use cell phon
Recitation Week 4 Autumn 2016
Big Ideas
~ Normal:
1. Inference about the population mean, , when is not known and
Use the sample standard deviation, s, to estimate leading to the () = = .
Use the Students t-distribution with n -1 degrees of freedom (r