-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
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-
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
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
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
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.
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
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
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
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
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
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
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
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
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
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)
Section 2
9/23/14
Case Study 7.1
1.
a) P( 4.48)
=1P(
4.48)
=1P(z (4.484.2)/(1.4160)
=1-P (z< 2.53)
=1-.9945
Probability =.0057
b) P( 4.6)
=1P(
4.6)
=1P(z<(4.64.2)/(1.4/40)
=1-P (z <1.8)
probability =.0351
2. The first sample is more likely to represent th
Section 2
9/16/14
Case Study 6.1
1. Compute the proportion of 10-year-old boys in this town that are in the various weight
status categories given the BMI rangers.
a. Underweight: P(X<14.2)=P(Z(14.2-19.2)/2.6)=P(Z<-1.92)=.0274=2.74%
b. Healthy weight: P(1
Case 20.1 Michelle Mendoza
1. Download the Excel Data. Transform Excel Data to look like the below Wilson Rank Sum Table
2. State the hypotheses to determine whether the median home price in Southern California is greater
than Inland Empire.
Ho: msocal mi
Case 12.1
1. Ho :P1 = 0.58 , P2 = 0.25, P3 = 0.15, P4 =0.02
Ha :At least one the proportions differs from its hypothesized value
2.
3. 2.05,3 = 7.815
4. Reject the null hypothesis because 61.95 is greater than the critical value
we found on the Chi Square
ch19
Student:
1.
The only possible income from an investment is the direct cash payment from the underlying asset.
True False
2.
As long as an investor does not sell an asset, there is no capital gain or loss involved.
True False
3.
Rates of return expres