GAGANDEEP KAUR SIDHU
12775 68 AVE
SURREY, BC V3W 2E3
[email protected]
March 22, 2013
Mr. Joe SChmoe
IT Manager
City of Richmond
5555 No. 3 Road
Richmond,BC V6Y 2C1
Re: Job Application for the position of User Support Analyst.
Dear Mr.Schmoe:

Analysis of Variance
Analysis of Variance
BUQU 1230
Esther Tiessen
Outcome 12.3Know how to use
Fishers least significant difference
(LSD) procedure to conduct
statistical comparisons between
pairs of population means.
Analysis of Variance
Analysis of Vari

Question 1 of 10
A convenience store manager records the purchases of snacks (by type) and soft
drinks (by the brands Coke (C), Pepsi (P), and Mountain Dew (M). The type of soft
drink is also noted (regular or diet). The data are shown below.
a. Would you

Manvir Nagra
BUSINESS LAW 2390
Assignment #1
Merits of Plaintiff
Browns case involves spontaneous careless conduct that causes damage or injury to
another party, so it is case of negligence. To be successful in this case, Brown has to
prove all four requi

Question 1 of 5
Part A
Production records indicate that in normal operation for a certain electronic component, 93% have no
faults, 5% have one fault, and 2% have more than one fault. For a random sample of 500 of these
components from a week's output, 45

Student Name
Student ID
BUQU 1230
Test 1, Feb. 22, 2012
Time: 120 Minutes
1. A recent issue of Fortune Magazine reported that the following companies had the lowest sales
per employee among the Fortune 500 companies. [20 Marks]
Company
Seagate Technology

Outcome6.4
Determinezvalues
andXvaluesgivena
probability.
continuousprobabilitydistributions
Continuous
Probability
Distributions
n
BUQU1230
n
EstherTiessen
Example2
continuousprobabilitydistributions
Youarethedesignerofyourcompanywebsite.Toattractandreta

continuousprobabilitydistributions
Outcome6.3Be
abletocompute
probabilitiesusing
anynormal
probability
distribution.
Continuous
Probability
Distributions
n
BUQU1230
n
EstherTiessen
NormalDistributions
continuousprobabilitydistributions
StandardNormalDistr

introductiontoprobability
Outcome4.1Be
abletousecounting
rules,combinations,
andpermutationsto
countexperimental
outcomes.
Introductionto
Probability
n
BUQU1230
n
EstherTiessen
introductiontoprobability
DeterminingExperimental
Outcomes
CountingRule1
n
Ifa

Question 1
Part A
According to Nielsen Media Research, the average number of hours of TV viewing per
household per week in the United States is 50.4 hours. Suppose the standard deviation is
11.8 hours and a random sample of 42 US households finds a sample

Question1of6
1. An economist believes that there is a 75% chance for the Canadian economy will
improve this year.
a. What type of probability is this (classical, empirical, or subjective)?
Subjective
b. Explain your answer in part a.
This is a subjective

Outcome 1.4
Know the meaning of
descriptive statistics and
statistical inference. Be able to
distinguish between a
population and a sample.
Understand the role a sample
plays in making statistical
inferences about the population.
Intro to
Busines
s
Statis

CHAPTER 14SIMPLE LINEAR REGRESSION
MULTIPLE CHOICE
1. The proportion of the variation in the dependent variable y that is explained by the estimated
regression equation is measured by the
a. correlation coefficient
b. standard error of the estimate
c. coe

CHAPTER 3DESCRIPTIVE STATISTICS: NUMERICAL MEASURES
MULTIPLE CHOICE
1. The interquartile range is the difference between the
a. first and second quartiles
b. first and third quartiles
c. second and third quartiles
d. second and fourth quartiles
ANS: B
PTS

CHAPTER 4INTRODUCTION TO PROBABILITY
MULTIPLE CHOICE
1. The probability of at least one head in two flips of a coin is
a. 0.33
b. 0.50
c. 0.75
d. 1.00
ANS: C
PTS: 1
2. Revised probabilities of events based on additional information are
a. joint probabilit

Chapter 5 - Practice Problems
1- The following table lists a series of experiments and associated random variables. In
each case, identify the values that the random variable can assume and state whether the
random variable is discrete or continuous.
Expe

CHAPTER 7SAMPLING AND SAMPLING DISTRIBUTIONS
MULTIPLE CHOICE
1. The expected value of equals the mean of the population from which the sample is drawn
a. only if the sample size is 30 or greater
b. only if the sample size is 50 or greater
c. only if the s

CHAPTER 9HYPOTHESIS TESTS
MULTIPLE CHOICE
1. More evidence against H0 is indicated by
a. lower levels of significance
b. smaller p-values
c. smaller critical values
d. lower probabilities of a Type II error
ANS: B
PTS: 1
2. Two approaches to drawing a con

CHAPTER 6CONTINUOUS PROBABILITY DISTRIBUTIONS
MULTIPLE CHOICE
1. If arrivals follow a Poisson probability distribution, the time between successive arrivals must follow
a. a Poisson probability distribution
b. a normal probability distribution
c. a unifor

CHAPTER 8INTERVAL ESTIMATION
MULTIPLE CHOICE
1. As the degrees of freedom increase, the t distribution approaches the
a. uniform distribution
b. normal distribution
c. exponential distribution
d. p distribution
ANS: B
PTS: 1
2. If the margin of error in a

Simple Linear Regression
Simple Linear Regression
BUQU1230
EstherTiessen
Outcome 13.3Be able to determine how good
a fit is provided by the estimated regression
equation and compute the sample correlation
coefficient from the regression analysis output.
S

Multiple Regression
Multiple Regression
BUQU1230
EstherTiessen
Outcome 14.4Be able to test for the
significance of the regression equation.
Multiple Regression
Testing for Significance
Recall:
SimpleLinearRegressionEquation:
E)
y
x
( =0+1
if1=0,thentheme

CHAPTER 2DESCRIPTIVE STATISTICS: TABULAR AND GRAPHICAL
DISPLAYS
MULTIPLE CHOICE
1. The minimum number of variables represented in a bar chart is
a. 1
b. 2
c. 3
d. 4
ANS: A
PTS: 1
2. The minimum number of variables represented in a histogram is
a. 1
b. 2
c

Multiple Regression
Multiple Regression
BUQU1230
EstherTiessen
Outcome 14.5Be able to include categorical
variables into a multiple regression equation.
Multiple Regression
Qualitative Independent
VAnalysissofarhasassumedthatindependentvariables
ariables

CHAPTER 5DISCRETE PROBABILITY DISTRIBUTIONS
MULTIPLE CHOICE
1. A numerical description of the outcome of an experiment is called a
a. descriptive statistic
b. probability function
c. variance
d. random variable
ANS: D
PTS: 1
2. A random variable that can

Simple Linear Regression
Simple Linear Regression
BUQU1230
EstherTiessen
Outcome 13.4Understand the assumptions
necessary for statistical inference using
regression analysis and how residual analysis
can be used to examine the validity of the
regression a

Simple Linear Regression
Simple Linear Regression
BUQU1230
EstherTiessen
Outcome 13.6Know how to develop
confidence interval estimates of y given a
specific value of x in both the case of a mean
value of y (estimation) and an individual value
of y (predic

Multiple Regression
Multiple Regression
BUQU1230
EstherTiessen
Outcome 14.2Understand how the least
squares method applies to multiple regression
and be able to use Excel's Regression tool
output to develop the estimated regression
equation.
Multiple Regr

Outcome 9.3
Understand the
types of errors
possible when
conducting a
hypothesis test.
BUQU
1230
Esther
Tiessen
HYPOTHESIS TESTS
Hypothesis Tests
Hypothesis Testing
Hypothesis Tests
Ste
p2
Select level of significance
Level of Significance :
designated b