false

Study Guides
(248,410)

Canada
(121,516)

York University
(10,209)

Management
(128)

MGMT 1000
(50)

Jean Adams
(47)

Final

Unlock Document

Description

SCHULICH SCHOOL OF BUSINESS
YORK UNIVERSITY
SESSION: FALL 2006 Final Examination NAME:
COURSE NO: OMIS1000 / OMIS2000 I.D. # :
COURSE TITLE: Statistics for Management Decisions
PROFESSORS: H. Cohen, O. Kaminer, A. Marshall, D. Nevo, S. Nevo
NUMBER OF PAGES: 11 pages (NOT including this cover page)
LENGTH OF EXAMINATION: 180 minutes (3 hours)
EXAMINATION AIDS ALLOWED: Calculator; formula sheet supplied with text
INSTRUCTIONS:
Please place your I.D. card on your desk.
Count the pages to be certain that there are no pages missing.
Write all and only your final answers in the space provided. We will not mark answers given
elsewhere.
You are not allowed to use your own paper for rough work. You may only use the spaces
on the exam.
Round all final answers to 4 decimal place.
You may assume that all populations described in this test are normally distributed.
If alpha is not given in the question use 0.05
You are not allowed to leave the examination room until one hour after the start of the exam and
you must sign the sign-in sheet before leaving. Your examination paper must be handed in before
you leave. When you are finished please leave the exam room quietly.
Cheating on an examination will result in an “F” grade in this course and possible suspension from
the University.
Do not remove the staple from the exam.
Do not write in the mark summary table below.
Part I – Problem Recognition 24 marks
Part II – True/False 17 marks
Part III – Output Interpretation 12 marks
Part IV – Problems Question 1 6 marks
Question 2 12 marks
Question 3 10 marks
Question 4 9 marks
Question 5 10 marks
Sub-total 47 marks
TOTAL 100 marks OMIS1000 / OMIS2000 Statistics Fall 2006 Final Examination
Part I - Problem Recognition (24 marks, 3 marks each)
Instructions:
For each of the scenarios below, write the null and alternative hypotheses and indicate the most
appropriate statistical test. You are not required to conduct the test, just choose the most suitable
test from the following options: z test; t test; χ test; F test, ANOVA.
Notes: (1) Be specific in your answers: specify the type of ANOVA required (one-way, randomized
block, or two-way), or whether you use the t-test for equal variances or not; (2) When writing
hypotheses for two population tests use meaningful indexing. For example, if the question asks to
compare Canada and the US, write μ -μ as cppused to μ -μ ; (3) 1ri2e all relevant hypotheses for
each of the questions.
Hypotheses (H and H ):
1 A ski company in Whistler owns two ski shops, one near 0 A
. Whistler and one near Blackcomb. The following data were
collected from both stores:
Whistler Blackcomb
shop shop
Mean sales $328 $435
Sample std. Dev. $104 $151
Sample size 35 days 30 days
Test:
The company would like to test for a difference in daily
average goggle sales between the two stores
Hypotheses (H a0d H ):A
2 The state lottery office claims that the average household
. income of those people playing the lottery is greater than
$37,000. They also know that the distribution of these
households’ income is normal with a standard deviation of
$5,756. To test their claim a sample of 25 households was
studied. It was found that the average income in the sample
was $36,243.
Test:
Hypotheses (H a0d H ):A
3 In random samples of 1000 people in the United States and
. in France, 70% of the people in the Unites States and 75%
of the people in France indicated that they were positive
about the future economy. Does this provide strong
evidence that the people in France are more optimistic
about the economy?
Test:
Hypotheses (H a0d H ):A
4 The distributor of the post, a regional newspaper serving
. North York is considering three types of dispensing
machines or racks. Management wants to know if the
different machines affect sales. These racks are designated
as J-1000, D, and UV-57. Management also wants to know
if the placement of the racks either inside or outside
supermarkets affects sales. Each of six similar stores was
randomly assigned a machine and location combination,
and data were collected on the number of papers sold over
four days. Test:
Page 2 of 11 OMIS1000 / OMIS2000 Statistics Fall 2006 Final Examination
5 A pasta chef was experiencing difficulty in getting brands ofHypotheses (H 0nd H )A
. pasta to be cooked just right. The main problem she
experiences is with the speed of water absorption by the
different pasta brands. Pasta with a faster rate of water
absorption has a greater tendency to be overcooked. She
decides to conduct an experiment in which two brands of
pasta, one Canadian and one Italian, were cooked for either
4 or 8 minutes. The variable measured was the speed of
water absorption in each case. The results were then
recorded an analyzed.
Test:
Hypotheses (H 0nd H )A
6 A large milling machine produces steel rods to certain
. specifications. The machine is considered to be running
normally if the standard deviation of the diameter of the rods
is 0.15 millimeters. As line supervisor, you need to test to
see whether the machine is operating normally. You take a
sample of 25 rods and find that the sample standard
deviation is 0.19.
Test:
Hypotheses (H 0nd H )A
7 Are medical students more motivated than law students? A
. randomly selected group of each were administered a
survey of attitudes toward life, which measures motivation
for upward mobility. The scores are summarized below
(higher scores mean greater motivation).
Medical Law Students
Students
Sample Size 250 100
Mean Score 83.5 80.2
Pop. Std. Dev. 11.2 9.2 Test:
Hypotheses (H 0nd H )A
8. In a recent survey, college students were asked the amount
of time (in hours) they spend weekly watching television and
surfing on the Internet. The researchers were interested in
determining whether the time spent on both activities was
equal. They collected the following data:
Person # 1 2 3 4 5 6 7 8
Internet 2 7 3 8 9 15 7 2
TV 4 15 5 3 4 4 4 8
Test:
Page 3 of 11 OMIS1000 / OMIS2000 Statistics Fall 2006 Final Examination
Part II – True/False (17 marks, 1 mark each)
Instructions: Next to each question mark an “X” in the column for ‘True’ of ‘False’.
True False
1. In a simple regression model, if the regression model is deemed to be statistically
significant, it means that the regression slope coefficient is significantly greater than
zero.
2. In a hypothesis test, the p-value measures the probability that the alternative
hypothesis is true.
3. If a hypothesis test is conducted for a population mean where only non-negative
values can be sampled, a null and alternative hypothesis of the form: H : μ0= 100, H : μ a
≠ 100, will result in a one-tailed hypothesis test since the statistic can only assume non-
negative values.
4. Two variables have a correlation coefficient that is very close to zero. This means
that there is probably no relationship between the two variables.
5. All other things held constant, increasing the level of confidence for a confidence
interval estimate for the difference between two population means will result in a wider
confidence interval estimate.
6. The method used in regression analysis for incorporating a categorical variable (no.
of categories = 5) into the model is by organizing the categorical variable into five
dummy variables.
7. In a recent one-way ANOVA test, Mean SSW was equal to 1,590 and the Mean SSB
was equal to 310. Therefore, SST is equal to 1,900.
8. A local medical center has advertised that the mean wait for services will be less
than 15 minutes (but more than 0 minutes). Given this claim, the hypothesis test for the
population mean should be a one-tailed test with the rejection region in the lower (left-
hand) tail of the sampling distribution.
9. Consider the following regression equation: ŷ = 356 + 18.0x – 1.5x . T2e x var1able
is a quantitative variable and the x2variable is a dummy with values 1 and 0. Given this,
we can interpret the slope coefficient on variable x 2s follows: holding x c1nstant, if the
value of x2is changed from 1 to 0, the average value of y will increase by 2.5 units.
10.The coefficient of determination measures the percentage of variation in the
independent variable that is explained by the dependent variables in the model.
11. A perfect correlation between two variables will always produce a correlation
coefficient of +1.0.
12.The prediction interval developed from a simple linear regression model will be at its
narrowest point when the value of x used to predict y is equal to the mean value of x.
13. When testing a hypothesis about the variability of a population, the statistical
requirements call for us to convert the variance to standard deviation and run a chi-
square test.
14. When the expected cell frequencies are smaller than 30, the cells should be
combined in a meaningful way such that the expected cell frequencies do exceed 30.
15. If it is known that a simple linear regression model explains 56 percent of the
variation in the dependent variable and that the slope on the regression equation is
negative, then we also know that the correlation between x and y is approximately (-
0.75).
16.In estimating the difference between two population means, if a 95 percent
confidence interval includes zero, than we can conclude that there is a 95 percent
chance that the difference between the two population means is zero.
17. In a multiple regression analysis, even if only some of the independent
variables have values equal to zero, the regression intercept, b ,0can

More
Less
Related notes for MGMT 1000

Join OneClass

Access over 10 million pages of study

documents for 1.3 million courses.

Sign up

Join to view

Continue

Continue
OR

By registering, I agree to the
Terms
and
Privacy Policies

Already have an account?
Log in

Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.