The management of a supermarket wants to adopt a new promotional policy of giving free gift to every customer who spends more than a certain amount per visit at this supermarket. The expectation of the management is that after this promotional policy is advertised, the expenditure for all customers at this supermarket will be normally distributed with mean 400 £ and a variance of 900 £2. What is a probability of selecting a customer whose expenditure is differ than the population mean expenditure by at most 50 £? In a sample of 49 customers, what are the number of customers whose mean expenditure is at least 410 £? What is the probability that the expenditure of the first customer exceeds the expenditure of the second customer by at least 20 £?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Question Five

The management of a supermarket wants to adopt a new promotional policy of giving free gift to every customer who spends more than a certain amount per visit at this supermarket. The expectation of the management is that after this promotional policy is advertised, the expenditure for all customers at this supermarket will be normally distributed with mean 400 £ and a variance of 900

£2.

  • What is a probability of selecting a customer whose expenditure is differ than the population mean expenditure by at most 50 £?
  • In a sample of 49 customers, what are the number of customers whose mean expenditure is at least 410 £?
  • What is the probability that the expenditure of the first customer exceeds the expenditure of the second customer by at least 20 £?
Formula Sheet
E,(x; – X)²
s2
%3D
n - 1
CV =
X 100
E(x; - X)2
S =
n - 1
-
Ztab
Z =
First quartile location = 1/4 (n+1)
Third quartile location= 3/4 (n+1)
Value of quartile= start + ratio * distance
ηΣ xy - ΣxΣy
Bo = Ÿ – ß,X
r =
VIηΣ x2-(Σ x)?] [n Σ y? - (Σν)?1
ηΣ xy -ΣxΣy
η Σ x2 - (Σ x)2
Simple linear regression model
Yi = Bo + B1ס + Uj
Where i = 1,2,...n
Estimated simple linear regression model
P = Bo + B,X,
%3D
Critical Values |Ztabl
0.001
0.005
0.010
0.025
0.050
0.100
|Ztabl
3.090
2.576
2.326
1.960
1.645
1.282
|Page 4
Transcribed Image Text:Formula Sheet E,(x; – X)² s2 %3D n - 1 CV = X 100 E(x; - X)2 S = n - 1 - Ztab Z = First quartile location = 1/4 (n+1) Third quartile location= 3/4 (n+1) Value of quartile= start + ratio * distance ηΣ xy - ΣxΣy Bo = Ÿ – ß,X r = VIηΣ x2-(Σ x)?] [n Σ y? - (Σν)?1 ηΣ xy -ΣxΣy η Σ x2 - (Σ x)2 Simple linear regression model Yi = Bo + B1ס + Uj Where i = 1,2,...n Estimated simple linear regression model P = Bo + B,X, %3D Critical Values |Ztabl 0.001 0.005 0.010 0.025 0.050 0.100 |Ztabl 3.090 2.576 2.326 1.960 1.645 1.282 |Page 4
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