CHAPTER
16
The Consumer Price
Index and Government
Statistics
STATISTICS
CONCEPTS AND CONTROVERSIES
Eighth Edition
David S. Moore, William I. Notz
Lecture Presentation
2
Chapter 16 Concepts
Index Numbers
Fixed (Market) Basket Price Indexes
Using the CP
CHAPTER 5: EXPERIMENTS, GOOD & BAD
University reports that online learning yields same results as in class courses.
Subjects: college students
Explanatory (independent) variable: learning setting
Response (dependent) variable: students scores on a test at
Chapter 8 Measuring
Measuring Statistics
-Once we have our sample respondents or our experimental subjects, we must still measure what
ever characteristics interest us
-We measure a property of a person/ thing when we assign a number to represent the prop
Chapter 11 Displaying Distributions with Graphs
Histograms
-Categorical variables just record group membership (marital status of a man or the race of a
college student)
-Can display a pie chart or bar graph because few values
-Quantitative variables take
Chapter 15 Describing Relationships: Regression, Prediction, and Causation
Regression lines
-A regression line is a straight line that describes how a response variable y changes as an
explanatory variable x changes. (predict the value of y for a given va
CHAPTER 16:
Confidence Intervals:
The Basics
Lecture PowerPoint Slides
In chapter 16, we cover
The reasoning of statistical estimation
Margin of error and confidence level
Confidence intervals for a population mean
How confidence intervals behave
2
S
CHAPTER 21
Comparing Two
Means
Lecture PowerPoint Slides
In Chapter 21, We Cover
Two-sample problems
Comparing two population means
Two-sample t procedures
Details of the t approximation
Avoid the pooled two-sample t
procedures
Two-Sample Problems
A two
CHAPTER 26:
Inference for
Regression
Lecture PowerPoint Slides
In Chapter 26, We Cover
Conditions for Regression Inference
Estimating the Parameters
Testing the Hypothesis of No Linear
Relationship
Testing Lack of Correlation
Confidence Intervals fo
CHAPTER 22:
Inference about a
Population Proportion
Lecture PowerPoint Slides
In Chapter 22, We Cover
Confidence Intervals for a Population
Proportion
Choosing the Sample Size
ex.22.4 on page 522
Significance Tests for a Proportion
ex. 22.6 pg. 527
Plus
CHAPTER 27:
One-Way Analysis of Variance:
Comparing Several Means
this chapter isnt on midterm #2
Lecture PowerPoint Slides
In Chapter 27, We Cover
Comparing Several Means
The Analysis of Variance F test
The Idea of Analysis of Variance
Conditions for AN
Final exam review
1-20 except 19, 16?
CHAPTER 1: WHERE DO DATA COME FROM?
Statistics: a big part of good judgement lies in deciding what you must measure in order to
produce data that will shed light on your concerns
Individuals: objects described by a se
CHAPTER
13
Normal Distributions
STATISTICS
CONCEPTS AND CONTROVERSIES
Eighth Edition
David S. Moore, William I. Notz
Lecture Presentation
2
Chapter 13 Concepts
Density Curves
Center and Spread of a Density Curve
68-95-99.7 Rule
Percentiles of Normal D
CHAPTER
18
Probability Models
STATISTICS
CONCEPTS AND CONTROVERSIES
Eighth Edition
David S. Moore, William I. Notz
Lecture Presentation
2
Chapter 18 Concepts
Probability Models
Probability Rules
Probability Models for Sampling
Sampling Distribution
3
Information for Final Exam STAT 100
Last update: April 10th, 10pm.
WHEN and WHERE.
The final exam will be on Tuesday April 21st from 8:30am to 11:30am in the gym,
https:/www.sfu.ca/content/dam/sfu/students/exams/Directions%20to%20the%20GYMWEST.pdf
PROCED
Assignment 5
STAT 100
Spring 2015
Last version: February 24th, 2015, 8:15am.
Due Monday March 2nd, 2015 at 2:30pm in the boxes outside the Statistics Workshop
in Burnaby campus.
Write your last name, first name and student ID at the top of the first pag
Sunday, March 1, 2015
Chapter 4 - STAT100
Sample Surveys in the Real World
Sampling Errors
Errors caused by the act of taking a sample. Causes sample results to be
different from the results of a census (survey of whole population).
Random Sampling Error
Sunday, March 1, 2015
Chapter 5 - STAT100
Experiments, Good and Bad
Response Variable
Variable that measures an outcome or results of a study
Explanatory Variable
Variable that we think explains or causes changes in the response variable. The
individuals
Saturday, March 14, 2015
Chapter 12
Median and Quartiles
Median
Midpoint, the value that separates the smaller half of the observations from the
larger half.
Quartiles
First and third quartiles mark off the middle half of the observations.
Example
13,425,
Saturday, March 14, 2015
Chapter 11
Histograms
Pie charts and bar graphs can be used to display the distribution of categorical
variables because they have relatively few values.
For quantitative variables which can take up A LOT of values on the graph, i
SPSS: Expected frequencies
Start with a crosstab.
Analyze Descriptive Stats Crosstabs
In the pop-up, choose your row and column variables and click
the cells button in the upper right of the pop-up.
The cells button brings up the menu of what you want the
The regressions will be done through
Analyze Regression Linear
1
For a simple regression, put your response variable in the
dependent slot.
Put your explanatory variable in the Independent box.
2
After clicking OK, these are the results.
The model summary
CHAPTER 9:
Producing Data:
Experiments
In Chapter 9, we cover
Observation versus experiment
Subjects, factors, treatments
Randomized comparative
experiments
The logic of randomized comparative
experiments
Cautions about experimentation
Matched pair
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,
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 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 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
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