STATISTICS 110, FALL 2015
Homework #1
Assigned Wed, Sept 29, Due Wed, October 7
1. Do Exercise 0.6 on page 15 of the textbook. (Shown below for those who havent been able to
purchase a book yet.)
0.6 Wine model. In his book Super Crunchers: Why Thinking b
STATISTICS 110, FALL 2015
Homework #3 Solutions
Assigned Wed, October 14, Due Wed, October 21
1. Do Problem 2.8 (page 81).
2.8 (This is a multiple choice question, but since that was not clear Ill address each part. But you only need
to choose the correct
STATISTICS 110, FALL 2015
Homework #5 Solutions
Assigned Mon, Nov 2, Due Mon, Nov 9
Questions 1 to 10: Use the PhysicalData.txt file (linked to the website) for these questions. The data
consist of physical measurements for n=55 college students. Measurem
Lecture 2 Announcements:
First assignment is assigned today and due next Wed.
Assignment is linked to the daily schedule on the course
webpage.
You can turn in homework Wed in class, or in slot on wall across
from 2202 Bren, by 1:50pm on due date. Make
Start with some definitions and pictures on the white board.
Assumptions in the Normal Linear Regression Model
A1: There is a linear relationship between X and Y.
A2: The error terms (and thus the Ys at each X) have constant variance.
A3: The error terms
Announcements
General Steps of Hypothesis
(Significance) Testing
Dont forget to put your Homework Code on
your homework. Find codes here:
http:/www.ics.uci.edu/~jutts/110/HomeworkIDCodes.pdf
No office hours today; tomorrow 2:30 to 3:30
instead
Today:
F
9/27/2015
STATISTICS 110
Outline for today:
Go over syllabus and dates for the quarter
Overview of basic terminology
Cover most of Chapter 0
Overview of coverage in Stat 110 and 111
Examples (more on white board)
1.
2.
Ex 0.4: Do students with higher GPA
Lecture on Sections 2.2 and 2.3
Note: Most of the lecture will be on the white board, not in these notes.
CHOOSE:
It looks like a linear model is
appropriate.
220
180
140
Goals:
Predict weight from height.
Estimate average weight at
any given height.
We
9/27/2015
STATISTICS 110
Outline for today:
Go over syllabus and dates for the quarter
Overview of basic terminology
Cover most of Chapter 0
Overview of coverage in Stat 110 and 111
Examples (more on white board)
1.
2.
Ex 0.4: Do students with higher
STATISTICS 110, FALL 2015
Homework #2
Assigned Wed, October 7
Due Wed, October 14
1. Go through the 5 steps of hypothesis testing given in class for Example 0.6 in the book. (Hint: See
the output on page 11 for the numerical values you will need.)
Step 1:
STATISTICS 110, FALL 2015
Homework #1 Solutions
Assigned Wed, Sept 29, Due Wed, October 7
1. Do Exercise 0.6 on page 15 of the textbook. (Shown below for those who havent been able to
purchase a book yet.)
0.6 Wine model. In his book Super Crunchers: Why
STATISTICS 110, FALL 2015
Homework #2
Assigned Wed, October 7
Due Wed, October 14
1. Go through the 5 steps of hypothesis testing given in class for Example 0.6 in the book. (Hint: See the
output on page 11 for the numerical values you will need.)
2. Do e
STATISTICS 110, FALL 2015
Homework #2
Assigned Wed, October 7
Due Wed, October 14
1. Go through the 5 steps of hypothesis testing given in class for Example 0.6 in the book. (Hint: See
the output on page 11 for the numerical values you will need.)
Step 1:
STATISTICS 110, FALL 2015
Homework #5
Assigned Mon, Nov 2
Due Mon, Nov 9
Questions 1 to 10: Use the PhysicalData.txt file (linked to the website) for these questions. The
data consist of physical measurements for n=55 college students. Measurements were m
Statistics 110 Midterm Review, Fall 2015
The midterm exam will cover Chapters 0, 1, 2, and some of 3, including all material covered up to Fri,
Oct 23. You are expected to know how to read and interpret R commands and output from R, but you
dont need to k
Shengruo Zhang
109
3.23
Part A
Call:
lm(formula = TotalPrice ~ Depth + I(Depth^2), data = Diamonds)
Residuals:
Min
1Q Median
3Q
Max
-9323 -4251 -2676 2134 45513
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -28406.783 112211.790 -0.253
De
Shengruo Zhang
109
5.14
a. The probability of 0.003 is the probability of getting a sample result that the four groups have the same
mean.
b. The data has strong evidence to let us reject null hypothesizes. It can only show that in the data at least
one f
Zhang 1
Shengruo Zhang
0.4
a. Observation unit: serve
Response variable: wining a point or not (categorical)
Explanatory variables: Jumping serve or standard overhead serve (categorical)
b. Observation unit: games
Response variable: number of games won (q
Shengruo zhang
1.6
Plug in x1= 10 in the fitted egression equation: y = 25+7x.
We get y = 95
Residual for the first data point = 100 95 = 5
1.8
a. As the number of gram of sugar increases, the numbers of calories increase.
See the graph in the back. Name
Announcements
Dont forget to put your Homework Code on
your homework. Find codes here:
http:/www.ics.uci.edu/~jutts/110/HomeworkIDCodes.pdf
No office hours today; tomorrow 2:30 to 3:30
instead
Today:
Finish last lecture on assessing fit
Review hypothes