1.19
Sample with caution Individuals with children who read the Ann Landers column were
asked if they had it to do all over again, whether they would want to have children. Of the nearly
10,000 readers who responded, only 30% responded by saying yes. Why
NBA Team New York Knicks Los Angeles Lakers Chicago Bulls Detroit Pistons Cleveland Cavaliers Houston Rockets Dallas Mavericks Phoenix Suns Boston Celtics San Antonio Spurs Toronto Raptors Miami Heat Philadelphia 76ers Utah Jazz Washington Wizards Sacrame
AnalysisofTwoWayTables
InferenceforTwoWayTables
IPS Chapter 9.1
2009 W.H. Freeman and Company
Objectives(IPSChapter9.1)
Inference for two-way tables
The hypothesis: no association Expected cell counts The chi-square test The chi-square test and the z t
Inference for Proportions
Inference for a Single Proportion
IPS Chapter 8.1
2009 W.H. Freeman and Company
Objectives (IPS Chapter 8.1)
Inference for a single proportion
Large-sample confidence interval for p "Plus four" confidence interval for p Sign
Inference for Distributions for the Mean of a Population
IPS Chapter 7.1
2009 W.H Freeman and Company
Objectives (IPS Chapter 7.1)
Inference for the mean of a population
The t distributions The one-sample t confidence interval The one-sample t test
Producing Data
Design of Experiments
IPS Chapters 3.1
2009 W.H. Freeman and Company
Objectives (IPS Chapters 3.1)
Design of experiments
Anecdotal and available data Comparative experiments Randomization Randomized comparative experiments Cautions
Name: _
ID #:
_
Please check here if you do NOT want your exam returned to you in class. Exams
not returned in class can be picked up in my office (16 Smith Hall) during office hours.
EXAM II
Organic Chemistry 2301-003
March 11, 2016
Exam is 7 pages inclu
Name: _
ID #:
_
Please check here if you do NOT want your exam returned to you in class. Exams
not returned in class can be picked up in my office (16 Smith Hall) during office hours.
EXAM II
Organic Chemistry 2301-002
March 11, 2016
Exam is 7 pages inclu
Urgen Sangmo
HW #1
Due: 9/25
1.19) It is not safe to infer anything from this survey about the general population
because many individuals dont read the Ann Landers column.
1.24a) The population is the total
7.4 For the population of individuals who own an iPhone, suppose p = 0.25 is the proportion that
has a given app. For a particular iPhone owner, let x = 0 otherwise. For a random sample of 50
people who have an iPhone:
a) State the population distribution
Urgen Sangmo
HW #5
Due: 10/30/16
8.6a) mean= 62.2
b) 62.2-4.9= 57.3 62.2+4.9=67.1 We are 95% confident that the true population
mean is between 57.3 and 67.1.
c) The point estimate is insufficient for the purp
Urgen Sangmo
HW #3
Due: 10/9
6.6a) 1/1000= 0.001
b)
Win
Lose
X
$500
$0
P(X)
1/1000= 0.001
999/1000=0.999
c) (0*0.999)+(500*0.001)= 0.50 Meaning that for every $1 bet there will be an
expected average of
Urgen Sangmo
HW #1
Due: 9/25
1.19) It is not safe to infer anything from this survey about the general population
because many individuals dont read the Ann Landers column.
1.24a) The population is the total student body in Madison and the sample is the
1
Chapter: 8
8.6) Researchers are interested in the effect of a certain nutrient on the growth rate of plant
seedlings. Using a hydroponics grow procedure that utilized water containing the nutrient, they
planted size tomato plants and recorded the heights
Urgen Sangmo
HW #2
Due: 10/2
5.6) B, is incorrect because if randomly generated then some numbers will occur
more than once
5.14a) 0,1,2,3,4,5,6,7,8,9
b) 1/10=.10
c) .10*10=1
5.24a) P(E)= 84/795 P(H)= 504/
7.4a) N~B(n,p) n=50 p=0.25
Probability distribution of X is B(50, 0.25)
b) Mean=p=0.25
Urgen Sangmo
HW #4
Due: Oct 16
.!" !.!"
c) sd=
= 0.0612
!"
d) The standard deviation of the data describes the spread of
Looking at Data Distributions
Displaying Distributions with Graphs
IPS Chapter 1.1
2009 W.H. Freeman and Company
Objectives (IPS Chapter 1.1)
Displaying distributions with graphs
Variables Types of variables Graphs for categorical variables
Bar g
Chapter 8: Inference for Means 8.1 Inference for Proportions Overview In this section we consider inference about a population proportion p from an SRS of size ^ n based on the sample proportion p = X n where X is the number of successes in the sample.
La
1.2 Describing Distributions with Numbers Key Words in Section 1.2 Measuring center: Mean and Median Measuring spread: Quartile, Standard Deviation and Variance Although graphs give an overall sense of the data, numerical summaries of features of the data
1. Looking at Data-Distribution Let's play Raisins Activity
Give each student a small box of raisins for them to count the number of raisins in the box. Ask each student the number of raisins in your box Construct a display of the data called a dotplot.
F
T-20
Tables
Table entry for p is the critical value ( 2 ) with probability p lying to its right.
Probability p
( 2)*
TABLE F 2 distribution critical values
Tail probability p df 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
T-12
Tables
Table entry for p is the critical value F with probability p lying to its right.
Probability p
F*
TABLE E F critical values
Degrees of freedom in the numerator p .100 .050 .025 .010 .001 .100 .050 .025 .010 .001 .100 .050 .025 .010 .001 .100 .
Tables
T-11
Table entry for p and C is the critical value t with probability p lying to its right and probability C lying between -t and t .
Probability p
t*
TABLE D t distribution critical values
Upper-tail probability p df 1 2 3 4 5 6 7 8 9 10 11 12 13