Unit 6- Relationships Between Two Continuous Variables
October 15, 2015
SOCI 328
Unit 6- Relationship Between Two Continuous Variables
STATA
in Country dataset, not GSS
tab femalelife
histogram femalelife
skewed to the left
histogram ppp
power per p
Unit 5
SOCI 328
Thursday, October. 8, 2015
Study Questions:
page 283: Q8 a-g
Assignment 2: due next Thursday
Next week: 2 more lab times
Unit 5- Relationships Between Two Categorical Variables
For example, what if we wanted to see the comparison between
Tutorial
Tuesday, October 13, 2015
SOCI 328
Remember that Assignment #2 is due on Thursday, October 15 in class
Let's use an example to practice for Assignment #2: marstat (marital status of respondent) and SRH
(self rated health of respondent)
Nature:
Phys 259, Labatorial 4, Winter 2017
University of Calgary
Department of Physics and Astronomy
PHYS 259, Winter 2017
Labatorial 4: Motion of electric charges in electric fields
A charged particle in an electric field experiences a force, and therefore an a
Phys 259, Labatorial 5, Winter 2017
University of Calgary
Department of Physics and Astronomy
PHYS 259, Winter 2017
Labatorial 5: Electric Potential
The figure on the left shows equipotential lines (i.e. lines of constant electric potential) for a distrib
Phys 259, Labatorial 8, Winter 2017
University of Calgary
Department of Physics and Astronomy
PHYS 259, Winter 2017
Labatorial 8: Magnetic Fields and Magnetic Force
The figures above show two technical applications of magnetic fields: The image on the lef
Phys 259, Labatorial 7, Winter 2017
University of Calgary
Department of Physics and Astronomy
PHYS 259, Winter 2017
Labatorial 7: Electrical Resistivity of Play-DohTM
One of the most basic circuit elements is a resistor,
which is a device that dissipates
Phys 259, Labatorial 6, Winter 2017
University of Calgary
Department of Physics and Astronomy
PHYS 259, Winter 2017
Labatorial 6: Capacitors
For studying the electric field, we considered a special type of capacitor: parallel
plate capacitors, which (in t
STAT 230
Term Test 1
NEVER
Irving K. Barber School
INSTRUCTOR:
of Arts and Sciences
J. Loeppky
UBC, Okanagan Campus
This exam has 1 questions, for a total of 20 points.
READ THE QUESTIONS CAREFULLY
In order to get full credit you must SHOW YOUR WORK
Answe
STAT 230
Term Test 1
NEVER
Irving K. Barber School
INSTRUCTOR:
of Arts and Sciences
J. Loeppky
UBC, Okanagan Campus
This exam has 5 questions, for a total of 47 points.
READ THE QUESTIONS CAREFULLY
In order to get full credit you must SHOW YOUR WORK
Answe
STAT 230
Term Test 3
Friday October 28, 2016
Irving K. Barber School
INSTRUCTOR:
of Arts and Sciences
J. Loeppky
UBC, Okanagan Campus
This exam has 4 questions, for a total of 27 points.
READ THE QUESTIONS CAREFULLY
In order to get full credit you must SH
STAT 230
Practice Test 4
Never
Irving K. Barber School
INSTRUCTOR:
of Arts and Sciences
J. Loeppky
UBC, Okanagan Campus
This exam has 3 questions, for a total of 26 points.
READ THE QUESTIONS CAREFULLY
In order to get full credit you must SHOW YOUR WORK
A
OKANAGAN COLLEGE
Department of Mathematics and Statistics
BUSINESS STATISTICS
STAT 124 - MIDTERM REVIEW
Part A - True or False (1 mark each)
(1)
A statistic is a known quantity that describes the characteristic of a sample.
(2)
The regression model gives
OKANAGAN COLLEGE
Department of Mathematics and Statistics
ELEMENTARY STATISTICS
STAT 121 - REVIEW SOLUTIONS
True or False
(1) T
(2) F
(3) F
(4) F
(5) T
(6) F
(7) F
(8) T
(9) T
(10) T
Multiple Choice
(1) (b)
(7) (c)
(2) (d)
(8) (b)
(3) (d)
(9) (e)
(4) (d)
OKANAGAN COLLEGE
Department of Mathematics and Statistics
STAT 124
BUSINESS STATISTICS
SOLUTIONS TO FINAL REVIEW
True or False
Question
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)
Answer
F
F
T
F
T
T
F
F
Question Answer
(i)
T
(j)
F
(k)
F
(l)
T
(m)
T
(n)
T
(o)
T
(p)
F
Okanagan College
Department of Mathematics and Statistics
Business Statistics
Stat 124
Winter 2016
Assignment 5
SOLUTIONS
1. A medical researcher wishes to see whether the pulse rates of smokers are higher
than the pulse rates of nonsmokers. Samples of 10
Okanagan College
Department of Mathematics and Statistics
Business Statistics
Stat 124
Assignment 4
Solutions
(1) The service manager for Air Canada is uncertain about the time needed for the ground
crew to turn an airplane around from the time it lands u
Okanagan College
Department of Mathematics and Statistics
Business Statistics
Stat 124
Assignment 1
SOLUTIONS
(1) (15 points) The student union wants to determine the mean number of hours per
week a student at Okanagan College study. To accomplish this, s
Okanagan College
Department of Mathematics and Statistics
Business Statistics
Stat 124
Assignment 2
SOLUTIONS
(1) (10 points)
(a) (2 points) S& P Market is the explanatory variable, Apple Stock is the response variable.
(b) (2 points) The data is appropri
Review
Last day we started Chapter 4:
The idea of probability
Estimating a probability from a sample
.
. .
. . . . . . . . . . . . . .
. . . . . . . . . . . . . .
.
.
.
.
. .
. .
.
Conditions for Inference About a Mean
1
Conditions for Inference about a Population Mean
Random: The data come from a random sample of size n from the
population of interest or a randomized experiment.
Normal: The population has a Normal distribution. I
The Practice of Statistics for
Business and Economics
Third Edition
David S. Moore
George P. McCabe
Layth C. Alwan
Bruce A. Craig
William M. Duckworth
2011 W.H. Freeman and Company
Introduction to Inference
Estimating with Confidence
PSBE Chapter 6.1
20
Review
We talked about the general types of variables, note that your
textbook covers other variables, but I wont test you on those.
Just be aware that there are other types of variables.
Categorical and Quantitative variables
Categorical variables: Ordin
Review
Last day we finished Section 4.2:
Probability Rules
Probability Rules in Mathematical Notation
Discrete Probability Models
Continuous Probability Models
Use the Standard Normal Curve (and Table A) to find
probabilites
.
. .
. . . . . . . . . . . .
Review
Last day we looked at:
Transformations for data that is not linear
Correlation does not imply causation!
Assessing the fit of a regression line
R2
Residual plot
Influential observations
.
. .
. . . . . . . . . . . . . .
. . . . . . . . . . . . . .
Review
Think back to the day before the break.
Population, Sample, Sampling Design
Response Rates
Bias-Bad Sampling
Simple Random Sampling (SRS)
Other Good Sampling:
Stratified Random Sampling
Multistage Sampling
Table of Random Digits (Table B)
.
. .
. .
The Lab
I hope everyone had fun in the lab yesterday! I am so impressed
with everyone! I will have a look at everyones answers and send
an email back if there was something I notice. The goal of the
assignment question is:
Figure out what the question is
The Lab
I was finally able to get the lab question working through Connect.
Some comments:
The question you get is randomly assigned out of a group of
10 possible questions. These 10 questions are listed at the end
of your lab.
It is a good idea to work t