Practice Problems Ch 23
Chapter 23 Comparing Counts
1) A researcher performed a study to determine whether an association exists between sex and blood
type. He obtained the following sample data.
Decide which chi-square test (goodness-of fit, homogeneity,

Chapter 21
Comparing Means
1
In this chapter we will compare two means from two
independent populations. Independent populations have
any impact on each other, for instance: comparing the
height of males and females in a certain company or
comparing the g

STAT 151 B1
Group 45
Lab 4
SCHULTZ, Jaydon
CHAO, Amanda
HU, Xinyue
1.
a) Since the 36 subjects are selected by voluntary, this sample is a voluntary sample. The
results cannot be generalized to the populations of pregnant non-vegetarians, pregnant
vegetar

Stat 151 B1
Group 59
Lab 3
SCHULTZ, Jaydon
TRAN, Michelle
1. a) The question that the people were asked could have been biased towards an
atheist answer or a non-atheist answer. Being that some of the interviews were face to
face the person answering the

Ch 20 Inference About Mean
20.1 The CLT Revisited
Now that we know how to create confidence intervals and test
hypotheses about proportions, itd be nice to be able to do the
same for means.
Just as we did before, we will base both our confidence interval

Chapter 23
1. Testing for association independent test
2. Expected
3. Ho: the die is fair
Ha: the die is not fair
1.
reject Ho
4. Ho: gender and blood type are independent
Ha: gender and blood type are not independent
5. Expected cell counts are at least

Practice Problems Ch 17-19
Chapter 17 Testing Hypotheses About Proportions
Write the null and alternative hypotheses you would use to test the following situation.
1) A mayor is concerned about the percentage of city residents who express disapproval of h

Practice Problems Ch 20-22
Chapter 20 Inferences About Means
Using the t-tables, software, or a calculator, estimate the critical value of t for the given confidence
interval and degrees of freedom.
1) 80% confidence interval with df = 11
A) 1.280
B) 1.37

Practice Problems Ch 25
Chapter 25 Analysis of Variance
1) A horticulturist wants to test the effectiveness of four types of fertilizer on the growth rate of Bermuda
grass. Six sections of grass are randomly assigned to each of the four fertilizer types,

Stat 151 B1
Group 59
Lab 3
SCHULTZ, Jaydon
TRAN, Michelle
1. a) The question that the people were asked could have been biased towards an
atheist answer or a non-atheist answer. Being that some of the interviews were face to
face the person answering the

Stat 151 Midterm Version 111
LAST NAME: _
FIRST NAME: _
STUDENT ID: _
STAT 151 SECTION: _
Instructions:
1) Personal items must be placed aside prior to the start of the exam.
2) All portable electronic devices must be turned off, including cell phones, pa

Practice Questions Ch 14
Chapter 14 Random Variables
1) Jo is a hairstylist. The probability model below describes the number of clients that she may see in a
day.
What is the expected value of the number of clients that Jo sees per day?
A) 2.7
B) 3.00
C)

Review Questions Ch 1 to 3
Ch 1
1) B
2) A (political affiliation have categories including Conservative, Liberal, etc)
3) B (waiting time can take values, say 1 min, 1.5 min, etc)
Ch 2
4) % accepted = 760/1470 = 52%
% wait-listed = 269/1470 = 18%
% turned

Chapter 6 Scatterplots, Association, and Correlation
1) Suppose you were to collect data for altitude and air pressure in order to make a scatterplot.
Determine for each variable if it is the explanatory variable or the response variable.
A) altitude is r

Practice Problems Ch 12 to 13
Chapter 12 From Randomness to Probability
1) What is the probability of an event?
A) A number between 0 and 1 that reports the likelihood of the event's occurrence
B) A collection of outcomes
C) A single attempt or realizatio

Practice Final Exam Application Questions
Work through these on your own or in a study group to make sure you feel solid on these
concepts. This will help you for the final exam.
If you complete and submit your individual responses by Sunday, December 4 a

Stat151MidtermVersion111
LASTNAME:_FIRSTNAME:
_
STUDENTID:_STAT151SECTION:
_
Instructions:
.
1) Personal items must be placed aside prior to the start of the exam.
.
2) All portable electronic devices must be turned off, including cell
phones, pagers, etc

Practice Problems Ch 16
Chapter 16 Confidence Intervals for Proportions
1) In a survey of 1,300 T.V. viewers, 30% said they watch network news programs. Find the margin of
error for this survey if we want 95% confidence in our estimate of the percent of T

Practice Problems Ch 15
Chapter 15 Sampling Distribution Models
1) In a large statistics class, the professor has each student toss a coin 14 times and calculate the
proportion of his or her tosses that were tails. The students then report their results,

Chapter 25
Analysis of Variance
1
Hypothesis tests
Proportions
Means
One population
Chapter 17
Chapter 20
Two population
Chapter 19
Chapter 21
The analysis of variance F-test:
When comparing of several populations, the temptation is to
individually test t

Chapter 12
From Randomness to
Probability
1
How can , based on a sample of a small percentage of
Canadians, be an accurate estimate of ? After all, a
second sample would give a different value of .
This basic fact is called sampling variability, the value

Chapter 6
Scatterplots, Association,
and Correlations (Relationships)
1
2
Sometimes the purpose of a study is to show that one
variable can explain the outcome of another variable.
Here, instead of studying a single variable, we are
interested in the rela

Chapter 15
Sampling Distribution
Models
1
The sampling distribution of a statistics is the distribution
of values taken by the statistics in all possible samples of
the same size from a population. Let to have a deeper look
at this by sampling distributio

STAT 151
INTRODUCTION TO
APPLIED STATISTICS I
MAJID NABIPOOR
CAB 622
[email protected]
(Ch.9,10,11)
1
What is statistics?
Many processes in nature (chemical, economical,
agricultural, etc.) follow laws that are not exact, but
are subject to a certain a

Stats Lab 3: Sampling Distributions, Central Limit
Theorem.
By: Sarah McDaniel
ID 1280212
Stats 151 Section E1, M. Kowalski.
November 2nd 2012
1a) The fraction of underfilled water bottles is found to be 0.5, when the
mean is 300, and the standard deviati

Lab Assignment 2: Regression and Correlation
By: Sarah McDaniel
ID 1280212
STAT 151, Section E01
M. Kowalski
1a.
b. The relationship between wine consumption and heart disease mortality rate is reasonably
strong because there is a cluster of data within t

University of Alberta
Department of Mathematical
and Statistical Sciences
STATS 151- Section A1
Introduction to Applied Statistics I
Midterm Examination
Time: 70 Minutes Instructor: A. Simchi June 1, .2012
INSTRUCTIONS
TEXTBOOK AND SHEET OF NOTES ARE NOT

Chapter 21 Comparing Two Means
We want to make an inference about the value of 1 2 based on the point estimate y 1 y2 .
To do this, let n1 be the size of sample 1 , n2 be the size of sample 2.
s1 be the standard deviation of sample 1 , s2 be the standard