Statistics 305 Midterm Exam #1 Solutions
1. (5 marks) Short answers (1 mark each):
when the sample size
(a) What is the shape of the sampling distribution of X
is large?
Solution: normal
(b) What is a p-value?
Solution: The probability of seeing a test s
Statistics 305: Introduction to Biostatistical
Methods for Health Sciences
Course Review
Instructor: Brad McNeney
Statistics and Actuarial Science, Simon Fraser University
Fall 2013
Overview
I
The major theme of the course was testing for association betw
Statistics 305 Midterm Exam #2 Solutions
1. (2 marks) Short answers (no more than one sentence; 1 mark each):
(a) What does correlation measure?
Solution: The strength of a linear association.
(b) What is a confounding variable?
Solution: Two possible ans
Statistics 305: Introduction to Biostatistical
Methods for Health Sciences
Review of Introductory Statistics Applications of Conditional
Probability
Instructor: Brad McNeney
Statistics and Actuarial Science, Simon Fraser University
Fall 2013
Applications
Twitter
Brief Outline
Twitter is a social networking app that can be used by anyone and can be used for anything.
Twitter was founded in 2006 which is not that long ago, but since 2006 it has been an uproar.
More and more people join twitter and are activ
Brief Outline
Honda is a company that has started back in 1948. From then, Honda started from making
regular cars, to trucks, race cars, lawn mowers, pressure washers, etc. The industry is known for
making engines that can last for a long time. The compar
CH1: Picturing Distributions with Graphs
Data: Categorical variable-y(major) vs. quantitative variable/explanatory
variable-x age height weight
Categorical variable: ( major econ buseducation math
)
Bar graph, pie chart,
Quantitative variable/ numerical v
ASSIGNMENT RETURN FORM
Stats
Course:
201
DEPARTMENT
301250727
Student #:
Assignment #:
1
Grade:
Tutor-Marker:
Use a separate form for each assignment. Print clearly and staple to the front of
each assignment. Do not use special covers or folders.
I will p
Stat 305, Fall 2016 Assignment 1,
Due in the drop box at 4:30pm on October 4, 2016.
! EACH ASSIGNMENT NEEDS A COVER PAGE WITH YOUR
NAME AND STUDENT NUMBER !
All of these questions either come directly from Chapters 6 and 15 of Principles of Biostatistics
Have covered chapters 1-18, 20-21
Today will finish chapter 22 today
Suggested problems: 22.5, 22.9, 22.13, 22.15, 22.27, 22.31,
22.33
Last day, we looked at significance tests for the population
proportion (p)
A significance test is a statistical te
Statistics 100
Lecture Set 12
Have covered chapter 1-18, and 20
Today start chapter 21
Suggested Problems: 21.7, 21.9, 21.15, 21.25, 21.31,
21.35
Statistical inference
This deals with drawing conclusions about a population
based on samples
Usually es
Have covered chapters 1-18, 20-21
Today will start chapter 22
Looked at confidence intervals
Have to know what the confidence interval is giving you from
A technical standpoint
A practical standpoint
Recall,
This deals with drawing conclusions abo
Statistics 100
Lecture Set 6
Re-cap
Last day, looked at a variety of plots
For categorical variables, most useful plots were bar
charts and pie charts
Looked at time plots for quantitative variables
Key thing is to be able to quickly make a point usin
Statistics 100
Lecture Set 13
Have covered chapters 1-18, 20-21
Today will start chapter 22
Looked at confidence intervals
Have to know what the confidence interval is giving you
from
A technical standpoint
A practical standpoint
Statistical inferen
Statistics 100
Lecture Set 14
Have covered chapters 1-18, 20-21
Today will finish chapter 22 today
Suggested problems: 22.5, 22.9, 22.13, 22.15, 22.27,
22.31, 22.33
Last day, we looked at significance tests for the
population proportion (p)
A signifi
Statistics 100
Lecture Set 4
Lecture Set 4
Chapter 5 and 6 please read
Read Chapter 7 you are responsible for all of this
chapter
Some suggested problems:
Chapter
Chapter
Chapter
Chapter
4:
5:
6:
7:
4.9,
5.3,
6.5,
7.7,
4.17, 4.21, 4.29
5.7, 5.11, 5.15,
Have covered chapters 1-18, 20-22
This lecture set more on hypothesis testing and some review
Suggested problems: 22.5, 22.9, 22.13, 22.15, 22.27, 22.31,
22.33
Last lecture set, we looked at significance tests for the
population proportion (p) and the
Statistics 100
Lecture Set 15
Have covered chapters 1-18, 20-22
This lecture set more on hypothesis testing and some
review
Suggested problems: 22.5, 22.9, 22.13, 22.15, 22.27,
22.31, 22.33
Last lecture set, we looked at significance tests for the
pop
Statistics 100
Lecture Set 16
Course re-cap
Covered chapters 1-18 and 20-22
Questions from students indicated that the most difficult
chapters were chapters 20-22
Today
Expected values
A little about regression (since we went over that last
day)
Will
Have covered chapter 1-15
Will do 17 (already done, mostly), 18 and part of 20 in this
lecture set
Suggested problems:
Chapter 17: 17.3, 17.7, 17.9, 17.15, 17.17, 17.21, 17.25
Chapter 18: 18.7, 18.13, 18.15, 18.19
Chapter 20: 20.5, 20.9, 20.15, 20.1
Statistics 100
Lecture Set 12
Have covered chapter 1-18, and 20
Today start chapter 21
Suggested Problems: 21.7, 21.9, 21.15, 21.25, 21.31, 21.35
Statistical inference
This deals with drawing conclusions about a population based
on samples
Usually es
Last day, looked at a variety of plots
For categorical variables, most useful plots were bar charts and
pie charts
Looked at time plots for quantitative variables
Key thing is to be able to quickly make a point using graphical
techniques
Recall:
A d
Statistics 100
Lecture Set 7
Chapters 13 and 14 in this lecture set
Please read these, you are responsible for all material
Will be doing chapters 15-19 in the coming weeks
Suggested problems:
13.5, 13.17, 13.19, 13.25, 13.30
14.5, 14.9, 14.15, 14.2
Statistics 100
Lecture Set 10
Have covered chapter 1-15
Will do 17 (already done, mostly), 18 and part of 20 in
this lecture set
Suggested problems:
Chapter 17: 17.3, 17.7, 17.9, 17.15, 17.17, 17.21, 17.25
Chapter 18: 18.7, 18.13, 18.15, 18.19
Chapt