Probability Distribution of Average Shopping Bill and Seeds Germination Rate - Prof. Ross , Assignments of Statistics

Solutions to two problems related to probability distribution. The first problem calculates the probability that the average shopping bill of a random sample of 100 shoppers exceeds $35, is less than $30, and falls between $31 and $39. The second problem determines the approximate sampling distribution of the proportion of seeds in a packet that germinate and finds the probability that less than 90%, more than 95%, and between 91% and 93% of seeds germinate. A real-life example of a grocery store receipt and a packet of seeds is used to illustrate the concepts.

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Chapter 9:
Problem 1:
Grocery store receipts show that customer purchases have a skewed distribution with a
mean of $32 and a standard deviation of $20.
Suppose a random sample of 100 shoppers are chosen, and their grocery bills are
tabulated.
(A) Find the probability that the average shopping bill (of the 100 shoppers) will be more
than $35.
)35Pr( X
=
100/20
3235
Pr Z
= Pr(Z > 1.5) = 1-Pr(Z < 1.5) = 1 - .9332 = 0.0668.
(B) Find the probability that the average shopping bill (of the 100 shoppers) will be less
than $30.
)30Pr( X
=
100/20
3230
Pr Z
= Pr(Z < -1) = 0.1587.
(C) Find the probability that the average shopping bill (of the 100 shoppers) will be
between $31 and $39.
)3931Pr( X
=
100/20
3239
100/20
3231
Pr Z
= Pr(-0.5 < Z < 3.5) = Pr(Z < 3.5) – Pr(Z
< -0.5) = 0.9998 – 0.3085 = 0.6913.
Problem 2:
Information on a packet of seeds claims that the germination rate is 92%. A packet of
seeds contains 160 seeds. Assume each packet is a SRS from the population of interest.
(A) Let
p
ˆ
represent the proportion of seeds in a packet that germinate. Find the
approximate sampling distribution of
p
ˆ
.
160
)92.1(92.
,92.~
ˆNp
N(0.92, 0.021)
(B) Using your findings from part (A), what is the probability that less than 90% of seeds
in a packet germinate?
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Chapter 9:

Problem 1:

Grocery store receipts show that customer purchases have a skewed distribution with a

mean of $32 and a standard deviation of $20.

Suppose a random sample of 100 shoppers are chosen, and their grocery bills are

tabulated.

(A) Find the probability that the average shopping bill (of the 100 shoppers) will be more

than $35.

Pr( X  35 )= 

Pr Z = Pr(Z > 1.5) = 1-Pr(Z < 1.5) = 1 - .9332 = 0.0668.

(B) Find the probability that the average shopping bill (of the 100 shoppers) will be less

than $30.

Pr( X  30 )= 

Pr Z = Pr(Z < -1) = 0.1587.

(C) Find the probability that the average shopping bill (of the 100 shoppers) will be

between $31 and $39.

Pr( 31  X  39 )= 

Pr Z = Pr(-0.5 < Z < 3.5) = Pr(Z < 3.5) – Pr(Z

Problem 2:

Information on a packet of seeds claims that the germination rate is 92%. A packet of

seeds contains 160 seeds. Assume each packet is a SRS from the population of interest.

(A) Let p ˆ^ represent the proportion of seeds in a packet that germinate. Find the

approximate sampling distribution of p ˆ^.

p ˆ^ ~ N. 92 ,  N(0.92, 0.021)

(B) Using your findings from part (A), what is the probability that less than 90% of seeds

in a packet germinate?

Pr( p ˆ^ < 0.9) = 

Pr Z = Pr(Z < -0.95) = 0.

(C) What is the probability that more than 95% of seeds in a packet germinate?

Pr( p ˆ^ > 0.95) = 

Pr Z = Pr(Z > 1.43) = 1 – Pr(Z < 1.43) = 1 – 0.9236 =

(D) What is the probability that between 91% and 93% of seeds in a packet germinate?

Pr(0.91 < p ˆ^ < 0.93) = 

Pr Z = Pr(-0.48 < Z < 0.48) = Pr(Z

< 0.48) – Pr(Z < -0.48) = 0.6844 – 0.3156 = 0.3688.

(E) Suppose an extra large packet of seeds were made available, containing 300 seeds.

Without doing any calculations, answer the following.

The probability in part (B) under the new extra large packet would be:

higher lower stay the same

The probability in part (C) under the new extra large packet would be:

higher lower stay the same

The probability in part (D) under the new extra large packet would be:

higher lower stay the same