a. Complete the crosstahulatjon shown below.
Green Condltlon
Gender Too Fast Fine Total
Male 35 9 55 9 1m] 9
Female 40 9 an @ 100 9
3' r5 9 125 9 zoo 9
Which group shows the hlghest perce ntage saying that the greens are too fast?
 FemIII, was G
Summarize the data by llan in the frequencyr (to the nearest whole number, the relative frequency (3 declmam), and the percent Frequency.' (1 decimal) values below.
Clan Frequency Relative Frequency Percent Frequency
.9 men w
9"
Elgl"
Elem
Elem
@'
The New York Times article provides information about Carrie Crimes who received a doctorate in statistics from Star
Ms. Crimes joined
Selected Answer: a a Coogle
Correct Answer: a a Coogle
I 2
The companyr identied in Chapter 1. Statistics in Practice. i
9 1 out of 1 points
Eateg orical d ata
Selected Answer: a mav be either numeric or nonnumeric
Correct Answer: a mav be either numeric or nonnumeric
1 1 out of 1 points
Quantitative data refers to data obtained 'with acfw_n
Selected Answer: 9 either interv
Summarize the data by constructing the Fellmving Items.
a. Fill In the frequencyr cfw_tn the nearest whele number and the relative frequencyr [to 2 decimals values below.
Name Frequency Relative Frequency
M 6 ul @
Jehnsen lml Q lzl Q
M @ @192
Miller lEi Q
The entities on which data are collected are
Selected Answer: 0 elements
Correct Answer: 0 elements
It 2 1 out of 1 points
The set of measurements collected for a particular element is cfw_are called
Selected Answer: a observations
Correct Answer: a obser
5 1 out of 1 points
The data measured on ordinal seale exhibits all the properties ofdata measured on
Selected Answer: 0 a. nominal soale.
Correct Answer: 0 a. nominal soale.
5 1 out of 1 points
Femperature is an example of a variable that uses
Selected A
Consumer Behavior
22 MKTG 3085  003
Dr. Robert Schuette
First Assignment
Due Jan 31st, by 11:00pm, Submit via Blackboard. 10% of grade lost for
each day late. Read the description below & answer the questions.
Frank Noseclump, a marketing manager at J.W.
hNatural Hazards and Disasters Vocab
Predicting natural disasters: statement that a particular natural hazard will occur with a given probability
during a time frame in a certain geological area (educated guess)
Mitigation: efforts to reduce or minimize t
Volcanoes
rising magma melts continental crust it passes through, changing composition of magma
90% of volcanic action is because of plate boundaries
80% at separating centers ex) midoceanic ridges (pacific and Atlantic) also in continental rifts whic
Chapter 14 (SBE)
Simple Linear Regression
ILLUSTRATION 1:
Page 1 of 54
Assuming you are one of the Managers at Armands pizza
Parlors, a chain of Italia restaurants located in a fivestate
area. The Managers at this restaurant believe that quarterly
sales
Genre Analysis/ Final essay
Ankit Kapur
The purpose of this essay is to analyze two genres related to the topic of Mountain Removal mining
practices in the United States. The first genre is nonfiction text. Its a book written by author Erik Reece
on radic
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.8658955391
R Square
0.7497750846
Adjusted R Square
0.7028579129
Standard Error
1.3878733016
Observations
20
ANOVA
df
Regression
Residual
Total
Intercept
Comfort
Amenities
InHouse Dining
3
16
19
SS
MS
F
92
STUDY GUIDE BUSINESS ANALYTICS 2082 EXAM 2
Know or be familiar with the following terms:
Constraints
decision variables
problem formulation: Creating a mathematical problem from a word problem
proportionality
additivity : You are able to linearly add up t
Part 2 Questions
What is the final value of the objective function?

The answer is the final values in the variable section
What are the values of the decision variables?

The answer is the final values in the constraint section
What happens to the obje
EXCEL Solver Interpretation Problems
2.
The Wyndor Glass Co. is a glass manufacturer which uses three production plants to
assemble its products. Let x1 and x2 be the number of batches of glass doors and wooden frame
windows to produce each week, respecti
Arithmetic Mean: I f X 1 , X 2 , . . . , X n i s a d a t a s e t (assumed arising from a
random sample from a population), the arithmetic mean (sample mean) is
=(1/n)=1 = (1/n)(X1+.+Xn)
Ex: car weights 3100, 3500, 3600, 3200 4 weights of compact cars
=
COMPUTING CORRELATION BETWEEN LINEAR COMBINATIONS USING MATRICES AND
VECTORS
/*10.7.5*/
data corn;
sg=24.6;sc=4.2;r=.691;
sw=sqrt(sg*2)+(sc*2)+(2*r*sg*sc);
covRW=sg*2+(r*sg*sc);
rhoGW=covRW/(sg*sw);
proc print data=corn;run;
/*Alternatively using vectors
INTRODUCTION TO STATISTICAL METHODS
Introduction Every scientific investigation is involved i n t h e a c q u i s i t i o n
a n d s u b s e q u e n t a n a l y s i s o f information. The aim is frequently to draw
conclusions about the state of nature but
Chapter 13 (SBE)
Experimental Design and Analysis of Variance
Statistical studies can be classified as being either experimental or observational. In an
experimental study, one or more factors are controlled so that data can be obtained about
how the fact
Chapter 15 (SBE)
Multiple Regression
ILLUSTRATION:
Page 1 of 38
Assuming you are one of the Managers at Butler Trucking
Company, an independent trucking company in southern
California. The Managers of the company want to estimate
the total daily travel t
Chapter 9
Hypothesis Tests
In this chapter, we will discuss statistical inference by showing how hypothesis testing
can be used to determine whether a statement about the value of a population parameter
should or should not be rejected.
A hypothesis is a
Chapter 12 (SBE)
Comparing Multiple Proportions, Test of Independence and
Goodness of Fit
In this Chapter, three hypothesistesting procedures for making statistical inference about
populations are introduced. In all the three cases, the data are categori
University of Cincinnati Blue Ash
Spring 2017
BANA 2082003: Business Analytics II
M 6:00 8:50 p.m. BAPAVD120
Instructor: Dr. Jordan Jimmy Crabbe
Email: [email protected]
Office: Muntz Hall 155B
Phone: (513)9361568
Office Hours: 1:30pm 5:00pm on
BANA 7046 Prof. Yan Yu
Homework #4
Guidelines of Homework Reports:
Please include onepage executive summary for each problem at the beginning of your
HW report, clearly stating:
Goal and Background  What is the problem?
Approach  What have you done?
Tree Models
In this lab we will go through the model building, validation, and interpretation of tree models. The focus will
be on rpart package.
Regression Tree vs. Classification Tree
CART stands for classification and regression tree.
Regression tree: