Joseph Farcone
Dr. Umashankar
BNAD 277
26 January 2015
3.4 Case Study Fort Myers Homes
1. Compare the mean, median and mode in each of the sample periods: The mean
price was significantly higher in January than July. The median also happened to be
signifi
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
-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
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
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
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
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
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-
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.
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
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
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
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.
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
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
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
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
THE UNIVERSITY OF ARIZONA
Eller College of Management
BNAD 277
ANALYTICAL METHODS IN BUSINESS
SPRING 2015
Professor:
Office:
Phone:
E-mail:
Office Hours:
Classes:
_
Dr. S. Umashankar
321 McClelland Hall
621 1023
[email protected]
T, Th: 11:00
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
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-
Case 8.2
Calculations
What is the 95% Confidence Intervals?
=1-.95= .05
/2=.05/2=0.025
a. Fidelity Selected Automotive Fund
t
XX (+ or -) 2 df S/ n =
49.02
9
15.54+
)=
t 0.025 ( 8 )
15.54+ 2.306
(
49.02
)
9
15.54+ 37.68= 53.22
15.54-37.68= -22.14
(-22.14
BrandonKockelman
BNAD277
9/16/14
CaseStudy6.1
1.Computetheproportionof10yearoldboysinthistownthatareinthevarious
weightstatuscategoriesgiventheBMIranges.
a. Underweight:P(X<14.2)=P(Z<(14.219.2)/2.6)=P(Z<1.92)=0.0274=2.74%
b. HealthyWeight:P(14.2<X<19.4)=P
THE UNIVERSITY OF ARIZONA
Eller College of Management
BNAD 27 7
ANALYTICAL METHODS IN BUSINESS
FALL 2015
Professor: Dr. S. Umashankar
Ofﬁce: 321 McClelland Hall
Phone: 621 1023
E-mail: [email protected]_r.arizona.edu
Ofﬁce Hours: T, Th: 11:00 — 12:00 o
BNAD 277
Case Study 3.4
September 9, 2014
(All numbers are in thousands of dollars)
1. The mean, median, and mode all decreased from January to July.
The mean decreased from 231.08 to 182.72. The median
decreased from 205 to 180. The mode decreased from 2
Memorandum
To: John McClintock
From:
Subject: Ch.14 Lab
Date: 10 October 2017
As requested, I have gone through the data set provided and developed a regression model to
help find Earnings per Share. This document will show you the interpretation and true
BNAD277
Ch.10 Lab
H0: There is no credit card limit difference between male and female.
HA: There is a difference in credit card limits between male and female.
Conclusion: The mean limit for males is a bit lower than females, with a variance greater. Thi
BNAD 277 Review
1. In regression analysis, the variable that helps to explain:
A) Independent Variable
2. This method minimizes the Sum of Squared Errors, i.e. Minimizes SSE
A) Least Squared Method
3. A regression analysis between supply (y in 10 widgets)
BNAD277 Lab Review
Q: Geometric mean or average growth rate considers this, where the arithmetic mean does not
A: compounding or proportional growth
Q: The t-score used for a 95% confidence interval, if the sample size is 27.
A: 2.056
Q: The measure of lo