Essential Statistics for the Behavioral Sciences
2nd Edition
ISBN: 9781506386300
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 1, Problem 7FP
To determine
To explain whether a nominal variable can be numeric or not.
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Solve the following LP problem using the Extreme Point Theorem:
Subject to:
Maximize Z-6+4y
2+y≤8
2x + y ≤10
2,y20
Solve it using the graphical method.
Guidelines for preparation for the teacher's
questions:
Understand the basics of Linear Programming (LP)
1. Know how to formulate an LP model.
2. Be able to identify decision variables, objective
functions, and constraints.
Be comfortable with graphical solutions
3. Know how to plot feasible regions and find extreme
points.
4. Understand how constraints affect the solution space.
Understand the Extreme Point Theorem
5. Know why solutions always occur at extreme points.
6. Be able to explain how optimization changes with
different constraints.
Think about real-world implications
7. Consider how removing or modifying constraints
affects the solution.
8. Be prepared to explain why LP problems are used in
business, economics, and operations research.
ged the variance for group 1) Different groups
of male stalk-eyed flies were raised on different diets: a high nutrient corn diet vs. a
low nutrient cotton wool diet. Investigators wanted to see if diet quality influenced
eye-stalk length. They obtained the following data:
d
Diet
Sample Mean Eye-stalk Length
Variance in Eye-stalk
d
size, n
(mm)
Length (mm²)
Corn (group 1)
21
2.05
0.0558
Cotton (group 2)
24
1.54
0.0812
=205-1.54-05T
a) Construct a 95% confidence interval for the difference in mean eye-stalk length
between the two diets (e.g., use group 1 - group 2).
Chapter 1 Solutions
Essential Statistics for the Behavioral Sciences
Ch. 1 - Prob. 1FPCh. 1 - Prob. 2FPCh. 1 - Prob. 3FPCh. 1 - Prob. 4FPCh. 1 - Prob. 5FPCh. 1 - Prob. 6FPCh. 1 - Prob. 7FPCh. 1 - Prob. 8FPCh. 1 - Prob. 9FPCh. 1 - Prob. 10FP
Ch. 1 - Prob. 11CAPCh. 1 - Prob. 12CAPCh. 1 - Prob. 13CAPCh. 1 - Prob. 14CAPCh. 1 - Prob. 15CAPCh. 1 - Prob. 16CAPCh. 1 - Prob. 17CAPCh. 1 - Prob. 18CAPCh. 1 - Prob. 19CAPCh. 1 - Prob. 20CAPCh. 1 - Prob. 21CAPCh. 1 - Prob. 22CAPCh. 1 - Prob. 23CAPCh. 1 - Prob. 24CAPCh. 1 - Prob. 25CAPCh. 1 - Prob. 26CAPCh. 1 - Prob. 27PRCh. 1 - Prob. 28PRCh. 1 - Prob. 29PRCh. 1 - Prob. 30PRCh. 1 - Prob. 31PRCh. 1 - Prob. 32PR
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