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MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Excel Formulas would be great
![12 The fictitious Haskins & Collins Ice Cream Store needs
an accurate estimate of demand. The owner of the store
|believes that the demand for ice cream has a quarterly
|seasonal pattern. To analyze the pattern, the owner
gathered the following quarterly ice cream sales data in
gallons for the past 4 years:
Year
Quarter
1
2
3
4
January - March
370
380
470
530
April - June
550
500
620
700
July - September
October - December
770
820
980
990
420
440
510
530
Given this information:
a
Compute the quarterly seasonal indices for ice cream
|sales using the simple average method.
b
Compute the quarterly seasonal indices for ice cream
sales using the centered moving average method.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5f8ea82e-0162-4b82-ab00-bae6e17c84f7%2F46505c83-cf9b-455e-a9f9-c530bdab729b%2Fc5ak17_processed.jpeg&w=3840&q=75)
Transcribed Image Text:12 The fictitious Haskins & Collins Ice Cream Store needs
an accurate estimate of demand. The owner of the store
|believes that the demand for ice cream has a quarterly
|seasonal pattern. To analyze the pattern, the owner
gathered the following quarterly ice cream sales data in
gallons for the past 4 years:
Year
Quarter
1
2
3
4
January - March
370
380
470
530
April - June
550
500
620
700
July - September
October - December
770
820
980
990
420
440
510
530
Given this information:
a
Compute the quarterly seasonal indices for ice cream
|sales using the simple average method.
b
Compute the quarterly seasonal indices for ice cream
sales using the centered moving average method.
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