ch13
Student:
1.
ANOVA is a statistical technique used to determine if differences exist between the means of two
populations.
True False
2.
One-way ANOVA analyzes the effect of one factor on the population mean and it is based on a
completely randomized
ch07
Student:
1.
A population consists of all items of interest in a statistical problem.
True False
2.
We calculate a parameter to make inferences about a statistic.
True False
3.
Bias refers to the tendency of a sample statistic to systematically over-
ch12
Student:
1.
For a multinomial experiment with k categories, the goodness-of-fit test statistic is assumed to follow a
chi-square distribution with k degrees of freedom.
True False
2.
If the null hypothesis is rejected by the goodness-of-fit test, the
ch09
Student:
1.
The null hypothesis typically corresponds to a presumed default state of nature.
True False
2.
The alternative hypothesis typically agrees with the status quo.
True False
3.
On the basis of sample information, we either "accept the null h
ch09
Student:
1.
The null hypothesis typically corresponds to a presumed default state of nature.
True False
2.
The alternative hypothesis typically agrees with the status quo.
True False
3.
On the basis of sample information, we either "accept the null h
Joseph Farcone
Case Study 8.1
1. Use Descriptive Statistics to compare the hourly wages of the three education
levels: After examining the mean hourly wages of the three education levels one
thing is clear: a college education certainly pays off in the bu
ch10
Student:
1.
Two random samples are considered independent if the observations in the first sample are different from
the observations of the second sample.
True False
2.
The difference between the two sample means
two population means
.
True False
3.
ch06
Student:
1.
A continuous random variable is characterized by uncountable values and can take on any value within an
interval.
True False
2.
We are often interested in finding the probability that a continuous random variable assumes a particular
valu
ch08
Student:
1.
A point estimate is a function of the random sample used to make inferences about the value of an
unknown population parameter. A point estimator reflects the actual value of the point estimate derived
from a given sample.
True False
2.
A
ch13
Student:
1.
ANOVA is a statistical technique used to determine if differences exist between the means of two
populations.
True False
2.
One-way ANOVA analyzes the effect of one factor on the population mean and it is based on a
completely randomized
ch08
Student:
1.
A point estimate is a function of the random sample used to make inferences about the value of an
unknown population parameter. A point estimator reflects the actual value of the point estimate derived
from a given sample.
True False
2.
A
ch06
Student:
1.
A continuous random variable is characterized by uncountable values and can take on any value within an
interval.
True False
2.
We are often interested in finding the probability that a continuous random variable assumes a particular
valu
ch10
Student:
1.
Two random samples are considered independent if the observations in the first sample are different from
the observations of the second sample.
True False
2.
The difference between the two sample means
two population means
.
True False
3.
ch03
Student:
1.
The terms central location or central tendency refer to the way quantitative data tend to cluster around
some middle or central value.
True False
2.
The arithmetic mean is the middle value of a data set.
True False
3.
Approximately 60% of
ch15
Student:
1.
If in the multiple linear model the slope coefficient i is negative, it suggests an inverse (negative)
relationship between the explanatory variable xi and the response variable.
True False
2.
The test statistic for testing the individual
ch14
Student:
1.
A scatterplot can help determine if two variables are related in some systematic way.
True False
2.
Each point in the scatterplot represents one observed value for one variable.
True False
3.
Covariance can be used to determine if the lin
ch14
Student:
1.
A scatterplot can help determine if two variables are related in some systematic way.
True False
2.
Each point in the scatterplot represents one observed value for one variable.
True False
3.
Covariance can be used to determine if the lin
Dr. S. Umashankar
BNAD 277 1, 2
Spring 2014
THE UNIVERSITY OF ARIZONA
Eller College of Management
BNAD 277
ANALYTICAL METHODS IN BUSINESS
SPRING 2014
_
Professor:
Office:
Phone:
E-mail:
Office Hours:
Classes:
Dr. S. Umashankar
321 McClelland Hall
621 1023
ch03
Student:
1.
The terms central location or central tendency refer to the way quantitative data tend to cluster around
some middle or central value.
True False
2.
The arithmetic mean is the middle value of a data set.
True False
3.
Approximately 60% of
ch07
Student:
1.
A population consists of all items of interest in a statistical problem.
True False
2.
We calculate a parameter to make inferences about a statistic.
True False
3.
Bias refers to the tendency of a sample statistic to systematically over-
ch15
Student:
1.
If in the multiple linear model the slope coefficient i is negative, it suggests an inverse (negative)
relationship between the explanatory variable xi and the response variable.
True False
2.
The test statistic for testing the individual
-Population consists of all items or interest in a statistical problem.
-Population Parameter is unknown.
-Sample is a subset of the population
-Sample Statistic is calculated from sample and used to make inferences about the
population.
-Bias exists when
Section 2
Case Study 9.1
1.
Ho: 6500
Ha: < 6500
t.05=-1.83
=5%, 1 tail test of left tale, t distribution
t-test=(55026-6500)/(1889.07/ 10)=-1.67
-1.67<-1.82
Cannot Reject Ho
2.
H0 : 0 6500
HA : 0 < 6500
t.05 : -1.833
t-test= (16329.9-6500)/(6442.155/ 10)
Case12.2
Method of Losing Weight
Ho: Cause of death independent from weight loss method
Ha: Cause of death dependent from weight loss method
e 11 = 435(321)/534=261.48
e 12
= 435(213)/ 534= 173.51
e13= 99(321)/534=59.51
e14=99(213)/534=39.49
Cause Of
Deat
Case Analysis 9.1
Calculations
a. 1. Ho: 6,500
Ha: o < 6,500
2. Critical Value
= 5%
i. 1- tail
ii. Left
iii. t, is unknon
t .05 9 = 1.833
critical value= 1.833
3. Test Statistic
1889.072
10
t
)= -1.67
( 5502.6 6500 ) /
4. Do not reject the null, since
Lab Case 3.4
Excel Results
Analysis Report
The average of sales prices of a familys home in January 2007 was 231.08($1,000s), as
the opposite 182.72 ($1,000s) on July 2007. On January 2007, half of 25 families sales
prices increase 205 (1,000s) and sales
TEAM MEMBER NAME_RUDY LYONS
5=perfection4=almostalways3=frequently2=sometimes1=seldom0=al
(100%)(9599%)(8594%)(7584%)(6574%)(0
CitizenshipBehaviors
Arrivespromptlytogroup
meetings
Providesfeedbackinamature,
professionalmanner
Completesassignedworkon
time
1. Metals: P(x < 0) = P(Z < 0 24.65/37.13) = P(Z < -.66) = .2546
This shows that there is a 25.46% possibility of getting a negative return for earnings.
Income: P(x < 0) = P(Z < 0 -8.51/11.07) = P(Z < -.077) = 0.2206
This percentage of 22.06% shows that
BNAD 277-1 and 277-2
Research Experiment Participation, Spring 2016
The BNAD 277 course requires a total of one-hour participation in research in the entire semester.
The marketing department has an online system to allow students to sign-up and receive c
THE UNIVERSITY OF ARIZONA
Eller College of Management
BNAD 277
ANALYTICAL METHODS IN BUSINESS
FALL 2016
Professor:
Office:
Phone:
E-mail:
Office Hours:
Classes:
_
Dr. S. Umashankar
321 McClelland Hall
621 1023
sumashankar@eller.arizona.edu
T, Th: 11:00 12
10. Tukeys Confidence Interval for
<Ch.13 Analysis of Variance>
1.
Grand Mean:
ni
c
x
for unbalanced data
ij
x
2.
3.
4.
i 1 j 1
nT
Sum of Squares due to Treatments
SSTR
SSTR
c 1
SSE
6.
7.
n 1
i
Mean Square Error MSE
SSE
MSE
nT c
Test Statistic for Two