Stat 301
Lab 2
Solution
Last week's lab looked at the data on body fat percentages in men below the age of 55.
The data are available on the course Web site:
http:/www.public.iastate.edu/~wrstephe/stat301.html
Use JMP to look at the comparison of younger
Stat 301
Lab 6
Solution
Data from the Scottish Hill Runners Association gives the name of the race, the distance in
miles, the amount of climb in feet and the record time in minutes. Data on a random sample of
30 races are given below.
Race
Greenmantle
Ca
Stat 301
Lab 7:
Solution
1. The group exercise for Lab 4 looked at the relationship between the temperature of coffee
and the time since the coffee was poured. The data consists of the temperature (oF) of cups
of coffee and the times (minutes) since the c
Stat 301 Lab 4
Group Activity on Regression
Names of Group Members: _Solution_, _, _
_, _, _
What is the relationship between the temperature or coffee and the time since the coffee
was poured? The data consists of the temperature (oF) of cups of coffee a
Stat 301
Lab 1
Solution
Use JMP to analyze the data in problem 1 below. It is not sufficient to simply hand in JMP
output. You must answer the questions completely. Hand in the JMP output attached at the end of
your written (word processed) answers.
1. A
Stat 301
Lab 3
Solution
For the first two laboratory assignments we looked at percentage body fat for a random
sample of 44 men under the age of 55. Measuring percentage body fat by displacement
of water is a time consuming process that requires the indiv
Stat 301 Exam 2
November 5, 2013
Name: _
INSTRUCTIONS: Read the questions carefully and completely. Answer each question
and show work in the space provided. Partial credit will not be given if work is not
shown. Use the JMP output. It is not necessary to
Stat 301
Lab 5:
Solution
1. Data on new vehicles for the 2004 model year are given in the December 2003 issue
of Kiplingers Personal Finance. A random sample of 100 vehicles was selected.
Using these data we wish to predict the Highway MPG of the vehicles
Stat 301 Exam 1
October 1, 2013
Name: _
INSTRUCTIONS: Read the questions carefully and completely. Answer each question
and show work in the space provided. Partial credit will not be given if work is not
shown. Use the JMP output. It is not necessary to
Stat 301 Lecture 17
Prices of Antique Clocks
Antique clocks are sold at
auction. We wish to investigate
the relationship between the age
of the clock and the auction
price and whether that
relationship changes if there are
different numbers of bidders at
Stat 301 Lecture 15
Adding variables.
There is a difference between
assessing the statistical
significance of a variable
acting alone and a variable
being added to a model.
1
Summary
Test 1 by itself is statistically
significant.
t=2.97, P-value=0.0074
Te
Stat 301 Lab 8
Group Activity on Multiple Regression
Names of Group Members: _Solution_, _, _
_, _, _
The laboratory 5 assignment looked at data on a random sample of 100 new vehicles for
the 2004 model year. We will revisit that data in this group activi
Stat 301 Lecture 8
Regression model
Y y| x
Y
represents a value of the response
variable.
y| x represents the population mean
response for a given value of the
explanatory variable, x.
represents the random error
1
Linear Regression Model
Y y| x 0 1 x
Stat 301 Lecture 9
Regression model
Y y| x
Y
represents a value of the response
variable.
y| x represents the population mean
response for a given value of the
explanatory variable, x.
represents the random error
1
Linear Regression Model
Y y| x 0 1 x
Stat 301 Lecture 10
Correlation
A measure of the strength of
the linear association
between two numerical
variables.
1
Sample Covariance
Measure of the co-variability
between two numerical
variables.
x x y y
n 1
2
Sample Correlation
The sample covarianc
Stat 301 Lecture 6
Simple Linear Regression
Question
Is
annual carbon dioxide
concentration related to
annual global temperature?
1
Simple Linear Regression
Response variable, Y.
Annual
(o
global temperature
C).
Explanatory (predictor)
variable, x.
Annu
Stat 301 Lecture 5
Two Independent Samples
Question
In
2000, did men and
women differ in terms of
their body mass index?
1
Populations
random
selection
2. Male
Inference
1. Female
random
selection
Samples
2
Body Mass Index
Females
Males
n1 50
n2 50
Y1 27.
Stat 301 Lecture 2
Results from Lab 0
Guessed values are biased
towards the high side.
Judgment sample means are
biased toward the high side
and are more variable.
1
Random Sampling
When random sampling from a
population with mean, , and
standard deviatio
Stat 301 Lecture 3
Parameter numerical
summary of the entire
population.
Population all items
of interest.
Example: All vehicles made
In 2004.
Example: population mean
fuel economy (MPG).
Sample a
few items from
the population.
Example: 36
vehicles.
Stati
Stat 301 Lecture 4
Parameter numerical
summary of the entire
population.
Population all items
of interest.
Example: All vehicles made
In 2004.
Example: population mean
fuel economy (MPG).
Sample a
few items from
the population.
Example: 36
vehicles.
Stati
Stat 301 Lecture 1
First Day
Data Sheet fill out and
bring to lab tomorrow
Syllabus go over
1
The Big Picture
What is statistics all about?
2
The Big Picture
Statistics is about variability!
Recognizing
variability.
Quantifying variability.
Explaining var
Stat 301 Final Exam
December 20, 2013
Name: _
INSTRUCTIONS: Read the questions carefully and completely. Answer each question
and show work in the space provided. Partial credit will not be given if work is not
shown. Use the JMP output. It is not necessa
Stat 301 Lecture 7
Simple Linear Regression
Question
Is
annual carbon dioxide
concentration related to
annual global temperature?
1
Bivariate Fit of Temp By CO2
15.0
Temp
14.5
14.0
13.5
300
350
400
CO2
Linear Fit
2
Linear Fit
y 0 1 x
Predicted Temperature