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Business Statistics (BUSA 3101). Dr.Lari H. Arjomand ? ) ( ) ( dx X f d X c P d c c d X f(X) Probability is area under curve! Normal Probability Distribution

Probability is area under curve!

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Normal Probability Distribution. Probability is area under curve!. Normal Probabilities. Standard Normal Probability Distribution. A random variable having a normal distribution with a mean of 0 and a standard deviation of 1 is said to have a standard normal probability - PowerPoint PPT Presentation

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Page 1: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

?)()( dxXfdXcPd

c

c dX

f(X)

Probability is area under curve!

Normal Probability Distribution

Page 2: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Normal Probabilities

Page 3: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Standard Normal Probability Distribution

A random variable having a normal distribution with a mean of 0 and a standard deviation of 1 is said to have a standard normal probability distribution.

A random variable having a normal distribution with a mean of 0 and a standard deviation of 1 is said to have a standard normal probability distribution.

Page 4: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

s = 1

0z

The letter z is used to designate the standard normal random variable. The letter z is used to designate the standard normal random variable.

Standard Normal Probability Distribution

Page 5: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Converting to the Standard Normal Distribution

Standard Normal Probability Distribution

zx

We can think of z as a measure of the number ofstandard deviations x is from . We use the aboveequation to convert normal distribution into standard normal distribution.

Page 6: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Standard Normal Probability Distribution

Example: Pep Zone

Pep Zone sells auto parts and supplies includinga popular multi-grade motor oil. When thestock of this oil drops to 20 gallons, areplenishment order is placed.

PepZone5w-20Motor Oil

Page 7: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

The store manager is concerned that sales are beinglost due to stockouts while waiting for an order.It has been determined that demand duringreplenishment lead-time is normallydistributed with a mean of 15 gallons anda standard deviation of 6 gallons.

The manager would like to know theprobability of a stockout, P(x > 20).

Standard Normal Probability Distribution

PepZone5w-20Motor Oil

Example: Pep Zone

Page 8: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

z = (x - )/ = (20 - 15)/6 = .83

z = (x - )/ = (20 - 15)/6 = .83

Solving for the Stockout Probability

Step 1: Convert x to the standard normal distribution.Step 1: Convert x to the standard normal distribution.

PepZone5w-20

Motor Oil

Step 2: Find the area under the standard normal curve to the left of z = .83Step 2: Find the area under the standard normal curve to the left of z = .83

see next slide see next slide

Standard Normal Probability Distribution

Page 9: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Cumulative Probability Table for the Standard Normal Distribution

z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09

. . . . . . . . . . .

.5 .6915 .6950 .6985 .7019 .7054 .7088 .7123 .7157 .7190 .7224

.6 .7257 .7291 .7324 .7357 .7389 .7422 .7454 .7486 .7517 .7549

.7 .7580 .7611 .7642 .7673 .7704 .7734 .7764 .7794 .7823 .7852

.8 .7881 .7910 .7939 .7967 .7995 .8023 .8051 .8078 .8106 .8133

.9 .8159 .8186 .8212 .8238 .8264 .8289 .8315 .8340 .8365 .8389

. . . . . . . . . . .

PepZone5w-20

Motor Oil

P(z < .83)

Standard Normal Probability Distribution

Page 10: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

P(z > .83) = 1 – P(z < .83) = 1- .7967

= .2033

P(z > .83) = 1 – P(z < .83) = 1- .7967

= .2033

Solving for the Stockout Probability

Step 3: Compute the area under the standard normal curve to the right of z = .83Step 3: Compute the area under the standard normal curve to the right of z = .83

PepZone5w-20

Motor Oil

Probability of a

stockoutP(x > 20)

Standard Normal Probability Distribution

Page 11: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Solving for the Stockout Probability

0 .83

Area = .7967

z

PepZone5w-20

Motor Oil

Standard Normal Probability Distribution

Area = 1 - .7967

P (x > 20)= .2033

Page 12: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

• Example (Finding the X value): If the manager of Pep Zone wants the probability of a stockout to be no more than .05, what should the reorder point be?

PepZone5w-20

Motor Oil

Standard Normal Probability Distribution

Page 13: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Solving for the Reorder Point

PepZone5w-20

Motor Oil

0

Area = 0.95

Area = .05

zz.05

Standard Normal Probability Distribution

Page 14: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Solving for the Reorder Point

PepZone5w-20

Motor Oil

Step 1: Find the z-value that cuts off an area of .05 in the right tail of the standard normal distribution.

Step 1: Find the z-value that cuts off an area of .05 in the right tail of the standard normal distribution.

z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09

. . . . . . . . . . .

1.5 .9332 .9345 .9357 .9370 .9382 .9394 .9406 .9418 .9429 .9441

1.6 .9452 .9463 .9474 .9484 .9495 .9505 .9515 .9525 .9535 .9545

1.7 .9554 .9564 .9573 .9582 .9591 .9599 .9608 .9616 .9625 .9633

1.8 .9641 .9649 .9656 .9664 .9671 .9678 .9686 .9693 .9699 .9706

1.9 .9713 .9719 .9726 .9732 .9738 .9744 .9750 .9756 .9761 .9767

. . . . . . . . . . .We look up the

complement of the tail area (1 - .05 = .95)

Standard Normal Probability Distribution

z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09

. . . . . . . . . . .

1.5 .9332 .9345 .9357 .9370 .9382 .9394 .9406 .9418 .9429 .9441

1.6 .9452 .9463 .9474 .9484 .9495 .9505 .9515 .9525 .9535 .9545

1.7 .9554 .9564 .9573 .9582 .9591 .9599 .9608 .9616 .9625 .9633

1.8 .9641 .9649 .9656 .9664 .9671 .9678 .9686 .9693 .9699 .9706

1.9 .9713 .9719 .9726 .9732 .9738 .9744 .9750 .9756 .9761 .9767

. . . . . . . . . . .

Page 15: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Solving for the Reorder Point

PepZone5w-20

Motor Oil

Step 2: Convert z.05 to the corresponding value of x.Step 2: Convert z.05 to the corresponding value of x.

x = + z.05 = 15 + 1.645(6) = 24.87 or 25

x = + z.05 = 15 + 1.645(6) = 24.87 or 25

A reorder point of 25 gallons will place the probability of a stockout during lead-time at (slightly less than) .05.

Page 16: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Solving for the Reorder Point: Some Observation

PepZone5w-20

Motor Oil

By raising the reorder point from 20 gallons to 25 gallons on hand, the probability of a stockoutdecreases from about .20 to .05. This is a significant decrease in the chance that PepZone will be out of stock and unable to meet acustomer’s desire to make a purchase.

Standard Normal Probability Distribution

Page 17: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Using half of the Normal Table to solve for the Reorder Point

PepZone5w-20

Motor Oil

0

Area = 0.5 - .05

Area = .05

zz.05

Standard Normal Probability Distribution

0.45

Page 18: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

Standard Normal Probability DistributionExample Continued

PepZone5w-20

Motor Oil

The question is: P ( X = ? ) = 0.05. In another word, we need to find the value of X. The equation is:zx

From the problem, we know that s =6, m = 15. The z value for probability of 0.45 from the table is (1.64 + 1.65)/2 = 1.645.

Thus, 1.645 = ( X – 15 )/ 6 = 24.87 or X = 25.

Page 19: Probability is  area under  curve!

Business Statistics (BUSA 3101). Dr.Lari H. Arjomand

End of Chapter 6