Marketing Channel
Marketing
A Marketing channel is a set of interdependent
Marketing
interdependent
organizations that help make a product or service
available for use or consumption by the consumer o
Forecasting Model
Presented by
Masoud Ahmed Al Ahbabi
#111300609
Hamad Raga Al Ahbabi
#111300449
Choice of a Particular Forecast
Model
Degree of Accuracy Required
Cost of Producing Forecasts
Forecast
Basic EOQ Model Total Minimum Cost
Q
CD
TC
= o + Cc opt
min Qopt
2
Qopt =
2Co D
Cc
Non-Instantaneous Receipt Model
p = daily rate at which the order is received over time
d = daily rate at which inven
Real Estate Investment Example
Decision
Apartment building
Office building
Warehouse
Maximax decision =
Maximin decision =
States of Nature
Good Economic
Poor Economic
Conditions
Conditions
50000
3000
Queuing Analysis Formulas
= the arrival rate
= the service rate
1 Server, Poisson arrival rate, Exponential service times
Probability that no customers are in the queuing system:
P0 = 1
Probability
Queuing Analysis Formulas
1 Server, Poisson arrival rate, Exponential service times
P0 = 1
n
n
P = 1
Pn = 0
W = 1 =L
Wq =
Undefined Service Times
P0 =1
L = Lq +
Wq =
U =
Lq
L=
U =
Lq =
2
Case 5
Sample Size Selection for Estimating
Reaction to New Sandwich
Controlling Confidence Interval Length
1
To find the sample size of customers required
to achieve a sufficiently narrow confidence
Case 4
Analyzing Variability in Diameters of
Machine Parts
Confidence Interval for a
Standard Deviation
1
To use StatToolss One-Sample Confidence
Interval procedure to find a confidence
interval for t
Case 1.3
Estimating the Response to a New
Sandwich
Confidence Interval for a Proportion
1
To illustrate the procedure for finding a
confidence interval for the proportion of
customers who rate the new
Case 1.2
Estimating Total Tax Refunds
Confidence Interval for a Total
1
To use StatToolss One-Sample Confidence
Level procedure, with an appropriate
modification, to find a 95% confidence interval
for
Case 1.1
Customer Response to a New
Sandwich
Confidence Interval for a Mean
1
To use StatToolss one-sample procedure to
obtain a 95% confidence for the mean
satisfaction rating of a new sandwich.
2
Sa
Chapter 6
Confidence Interval Estimation
1
Chapter Goals
After completing this chapter, you should be able to:
Distinguish between a point estimate and a confidence interval
estimate
Construct and int
Case 5
Explaining Overhead Costs at Bendrix
Multiple Regression
1
To use StatToolss Regression procedure to
estimate the equation for overhead costs at
Bendrix as a function of machine hours and
produ
Case 4
Explaining Overhead Costs at Bendrix
Simple Linear Regression
1
To use StatToolss Regression procedure to
regress overhead expenses at Bendrix
against machine hours and then against
production
Case 3
Explaining Overhead Costs at Bendrix
Scatterplots: Graphing Relationships
1
To use scatterplots to examine the
relationships between overhead, machine
hours, and productions runs at Bendrix.
2
Case 2
Sales Versus Promotions at Pharmex
Simple Linear Regression
1
To use StatToolss regression procedure to
find the least squares line for sales as a
function of promotional expenses at Pharmex.
2
Case 4.1
Sales Versus Promotions At Pharmex
Scatterplots: Graphing Relationships
1
To use a scatterplot to examine the
relationship between promotional expenses
and sales at Pharmex.
2
Background Info
Chapter 3
Multiple Regression
Chapter Goals
After completing this chapter, you should be able to:
apply multiple regression analysis to business decision-
making situations
analyze and interpret the c
1
An Example of a Maximization Problem
LawnGrow Manufacturing Company must determine the unit
mix of its commercial riding mower products to be
produced next year. The company produces two product
lin
Target Cell (Max)
Cell
$B$12
Name
Profit =
Original Value
1360
Final Value
1360
Adjustable Cells
Cell
$B$10
$B$11
Name
Bowls =
Mugs =
Original Value
24
8
Final Value
24
8
Name
labor (hr/unit) Usage
cl
Microsoft Excel 11.0 Answer Report
Worksheet: [Example.xls]Sheet1
Report Created: 28-Apr-12 11:12:15 AM
Target Cell (Max)
Cell
Name
$B$13
Profit =
Original Value Final Value
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Appendix A
T A B L E A.3
Statistical Tables
A Table of Areas under the Standard Normal Curve
0
z
z
.00
.01
.02
.03
.04
.05
.06
.07
.08
.09
0.0
0.1
0.