CHAPTER 1 SOLUTIONS
1.13 A study records the sex and weight (in kilograms) of 30 recently born bear cubs in Alaska. Which of
the following statements is true?
(a)Sex and weight are both categorical variables.
(b)Sex and weight are both quantitative variab

Student Name _ | TA Name: _ | Section Time _
For practice only!
every midterm is different.
PSTAT 5LS Extra problems to practice for Midterm 1
Time allowed: 45 mins. No notes.
Please note that the actual Spring 2013 midterm 1 for PSTAT 5LS will have sligh

Student Name:
TA Name:
Section Time:
PSTAT 5LS: More Practice Problems for Midterm 1.
20 Points maximum score. (Score based on 17 questions, three of which have parts (i) and (ii).
1. Suppose you have two variables recorded for each of n hospital patients

HOMEWORK 1
Answers will be posted next week, after the quiz. Your TA is not allowed to do these problems for you
before the quiz, but you can ask questions. For example, if you dont understand boxplots, ask your
TA to explain and do an example.
1. Draw a

PSTAT 5LS: Lab 1
Spring 2017
Introduction
In this course, we will at times use Microsoft Excel to aid our statistical analyses. This lab will focus on two
particular aspects of Excel formulas and functions. Roughly, formulas are mathematical expressions t

PROBABILITY
INTRODUCTION TO PROBABILITY
A random experiment is one in which we know all the
possible outcomes in advance.
The set of all these possible outcomes is called the
sample space.
An event is a subset of the sample space.
EXAMPLE: ROLLING A DIE.

HW 2 (for quiz week 3) 8 exercises
1.
A probability experiment consists of rolling a 12-sided die. Find the probability of each event.
a) Event B: rolling a 10.
b) Event C: rolling a number greater than 4
c) Event F: rolling a number divisible by 5
2.
Two

PRACTICE PROBLEMS
1.
Given that the probability event A occurs is 0.35 and the probability event B occurs is 0.7 and
the probability event A and B occurs is 0.25. Find the probability that
i) B does not occur
ii) A or B occurs
2.
An experiment involves fl

PSTAT 5LS Extra Practice Problems Answer Spring 2017
TA: Xin Lyu email: [email protected]
Page9
2a) sample: 1046 adults chosen at random from all adults
population: all adults
page22
1a) sample: 1020 U.S. adults chosen at random from all U.S. adults
1b) 4

PROBABILITY
INTRODUCTION TO PROBABILITY
A random experiment is one in which we know all the possible outcomes in
advance.
The set of all these possible outcomes is called the sample space.
An event is a subset of the sample space.
EXAMPLE: ROLLING A DIE.

WEEK 3 : CLASSROOM SECTION
1. What is a random variable?
2. Does P(x) =x/3 where x=0, 1, 2 determine a probability distribution? (1st edition example p161).
3. Ask students what is meant by permutation. What is the value of 100P2
4. How many numbers great

For TAs: WEEK 3 : CLASSROOM SECTION with answers
1. What is a random variable?
2. Does P(x) =x/3 where x=0, 1, 2 determine a probability distribution? (1st edition example p161).
ANS. Yes. Sum of probabilities =1 and each probability is between 0 and 1.
3

PSTAT 5LS: Lab 2
Spring 2017
Descriptive Statistics and Histogram in Excel
Before we do Lab 2 exercise, we need to install Analysis ToolPak add-in for Excel.
Click here: Analysis ToolPak add-in.
Individual Descriptive Statistics using Excel Functions
Cen

WEEK 2 (For Students)
CLASSROOM SECTION
1. Complete the Sample SD worksheet
2. In the campaign against smallpox a doctor inquired into the number of times 150 people aged
16 and over in an Ethiopian village had been vaccinated. He obtained the following f

SAMPLING DISTRIBUTIONS
deholmes
1
TWO MAIN AREAS OF STATISTICS
Descriptive Statistics: uses numerical and graphical
summaries to describe a data set.
Inferential Statistics: uses sample information to make
conclusions about a broader range of individuals

HW 4
1. A random sample of 169 observations is to be drawn from a population with a mean of 80 and
a standard deviation of 39. Find the probability that the mean of the sample will exceed 85.
2. Juan makes a measurement in a chemistry laboratory and recor

Solutions
1
Chapter 12 Solutions
12.1. Yes: (1) We have a xed number of observations (n = 15). (2) It is reasonable to
believe that each call is independent of the others. (3) Success means reaching a live
person; failure is any other outcome. (4) Each ra

120
Chapter 11
The Normal Distributions
Chapter 11 Solutions
11.1. Students may at first make mistakes such as
drawing a half-circle instead of the correct bellshaped curve, or being careless about locating the
change-of-curvature (inflection) point.
150

Solutions for HW4
Q1
Let A= the pair chosen is red; B = the second pair chosen is red. Note that A and B are
independent since this experiment is with replacement.
P(A and B) = P(A)P(B)=(1/5)^2=1/25
Q2
(9/10)^3= 0.729
Q3
a) Chance is 3/5
b) Chance is 30/5

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 10. General rules
of probability
1
Objectives
p
p
p
p
p
p
Independent events
Conditional probability
Multiplication rule
Tree diagrams
Medical testing and disease probabilities
B

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 7. Samples and
observational studies
1
Topics
p
Observation versus experiment, confounding
p
Population and sample, parameter and statistic
p
The role of randomness in sampling

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 9. Introducing Probability
1
Objectives
p
p
p
p
p
p
p
Randomness and probability
Probability models
Discrete vs. continuous sample spaces
Probability rules
Random variables
P

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 8. Designing Experiments
1
Chapter 8 Designing Experiments
p
Experimental terminology
p
Comparative, randomized experiments
p
Completely randomized designs
p
Block designs
p
Matched

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 3. Relationships:
Scatterplots and Correlation
1
Topics
We are dealing with two variables in Chapters
3 and 4.
p
Displaying relationships: scatterplots
p
Interpreting scatterplot

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 2. Describing Distributions
with Numbers
1
Topics: Chapter 2 considers quantitative variables
mean and median
quartiles & standard deviation,
the inter-quartile range (IQR)
The five-number summary

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 4. Regression
1
Topics
p
The least-squares regression line
p
Finding the least-squares regression line
p
The coecient of determination, r 2
p
Outliers and inuential observatio

Welcome to PSTAT 5LS:
Statistics for Life Sciences
Chapter 1. Picturing Distributions
with Graphs
1
Topics
p Individuals and variables
p Two types of data:
categorical and quantitative
p Charts for categorical data: bar gra

PSTAT 5LS: Homework 3 Solutions
Question 1.
a) cfw_Male, Female
b) cfw_all integers between 6 and 20 or cfw_6,7,8,9,10,11,12,13,14,15,16,17,18,19,20
c) cfw_real numbers between 2.5 and 6
d) cfw_any reasonable range for maximum heart rate in beats per minu

CHAPTER 2 SOLUTIONS
2.13 Cesium-137 is a waste product of nuclear reactors. A study examined the cesium-137 tissue
concentration of a random sample of 15 Pacific bluefin tuna, Thunnus orientalis, captured off the coast
of California four months after the