Chapter 7
Inference for Distributions
In this chapter we meet confidence
intervals and tests of significance for
A single population mean
Comparing the means of two
populations
7.1 Inference for the M
STAT 240 Basic Statistics
Practice Final Examination Solutions
Instructions:
1. Write your name on the top of each page in the space provided. ,
2. Write your solution to the questions in the space pr
Review
for Test #1
Chapter 1 Looking at Data
Sections 1.1, 1.2, 1.3
Chapter 2 Looking at Data
Relationships
Sections 2.1 to 2.2 only
Section 1.1
Displaying Distributions
Variables
Categorical
Quantita
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Know how to find
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Distinguish the
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Introductions
2. Learning Objective
3. Activities and MACE Hour Schedule
4. Assignments
5. Using R
Introduction
Summaries
Making Gra
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Formulate the n
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Use probability
STAT 240: Midterm 2 Coverage and Practice Exercises
_
NOT Open Book exam.
Formula sheet/Statistical tables will be given.
Chapter 4 only.
Calculator (any type) allowed.
No part marks for a wrong answe
3.2 Design of Experiments
Individuals upon which experiments are done
are experimental units if inanimate,
subjects if animals, and participants if
human
A specific experimental condition applied to
2.3 Correlation
We say a linear relationship is strong if points
lie close to a straight line and weak if they are
widely scattered about
However, our eyes are not a good measure of
strong a relatio
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Understand the c
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Calculate sampl
S”
SJ‘
7.
8.
9.
10.
ll.
STAT 240 Basic Statistics
Term Test 2
Name:
INSTRUCTIONS
. The total number of marks possible is 30.
Write your name on each page in the space provided.
Because of
Review for Test 2
Chapter 1 Looking at Data
Chapter 2 Looking at DataRelationships
With emphasis on
Sections 2.3 2.6
Chapter 3 Producing Data
(except Section 3.4 Ethics)
Chapter 4 Probability: The Stu
STAT 240 Basic Statistics
INSTRUCTIONS
1
2.
3
4.
5.
6.
7.
8
9.
10.
Term Test 1
Name:
. The total number of marks possible is 30.
Write your name on each page in the space provided.
This is an open-b
STAT 240 Basic Statistics
Practice Final Examination Solutions
Instructions:
1. Write your name on the top of each page in the space provided. ,
2. Write your solution to the questions in the space pr
STAT 240 Basic Statistics
Solutions to Practice Test 1 (covering Sections 1.1 to 2.2)
Name:
Maximum Possible Marks: 20
1. A survey of gross sales by businesses in the City of Prince George revealed th
STAT 240 Basic Statistics
Practice Term Test 2 (focusing on Sections 2.3 2.6, 3.1 3.3, 4.1 4.5, 5.1, 5.2)
Solutions
Instructions:
1. You have been provided with this test booklet.
2. Write your name o
BA 3653: Assignment #1
I. General Instructions
1. Each group (or team) consists of 3~4 students (maximum 5 students)
enrolled in the same section. The right table shows the deduction
percentage for ot
STATS 240: BASIC STATISTICS
Andrew Agbonigha O.I UNBC
Outline
1. Learning Objective
2. Activities and MACE Hour Schedule
Learning Objective
By the end of this Lab you will be able to:
Know how to make
2.5 Cautions about Correlation and
Regression
We need a firm grasp of the use and
limitations of correlation and regression
Kevin J. Keen 2016
1
Residuals
A residual is the difference between an ob
Chapter 3
Producing Data
Exploratory
Data Analysis
Is what we have been doing
Asks us to visualize the data
Formal
Statistical Inference
Is what we shall start to do
Tells what inferences can be drawn
Chapter 9
Analysis of Two-Way Tables
We extend our methods for inference
involving proportions for a random
variable with only two categories in one or
two populations to
Random variables of two or mo
6.4 Power and Inference as a
Decision
Our preference is, whenever possible, to
calculate P-values rather than adopt the allor-nothing approach of significance testing at
a fixed level
Although this ap
Chapter 8
Inference for Proportions
Quite often in statistics we consider
questions with a simple answer
Yes/No
For/Against
Success/Failure
Sometimes this is done in
A single population
Two population
7.2 Comparing Two Means
A forester is interested in comparing
Snip and skid logging practices
Clearcut
An epidemiologist wants to compare
Health outcomes for adjuvanted vaccine for
H1N1
Health outcome
Chapter 6
Introduction to Inference
Statistical inference makes conclusions
about a population based upon
Statistics observed on a sample
A probability model for the sample
Example
The Wade Tract in T
6.3 Use and Abuse of Tests
Conducting a test of significance with
statistical software is largely effortless
Using tests of significance wisely, however, is
not so simple
1
We have previously discusse
5.2 Sampling Distributions for
Counts and Proportions
We most often encounter counts and
proportions in public opinion surveys
In many instances, the categorical questions
are limited to two responses