For the public lighting service, you can choose between supplier A who states that the average life time of their bulbs is 1400 h with a standard deviation of 200 h and those of supplier B that assumes that the life time of their bulbs is 1200 h with a standard deviation of 100 h. If 125 bulhs from each manufacturer
For the public lighting service, you can choose between supplier A who states that the average life time of their bulbs is 1400 h with a standard deviation of 200 h and those of supplier B that assumes that the life time of their bulbs is 1200 h with a standard deviation of 100 h. If 125 bulhs from each manufacturer
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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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
Transcribed Image Text:For the public lighting service, you can choose
between supplier A who states that the
average life time of their bulbs is 1400 h with a
standard deviation of 200 h and those of
supplier B that assumes that the life time of
their bulbs is 1200 h with a standard deviation
of 100 h. If 125 bulbs from each manufacturer
are tested.
It is practically
It is practi
0.002
0.006
0.
1.
The probability that
the average lifetime of
the bulbs from
manufacturer B is 150
h longer than those
from manufacturer A.
The probability that the
average lifetime of the A
bulbs is 250 h longer than
that of the manufacturer
B bulbs
The probability that the
mean lifetime of a
sample of 125 bulbs
from manufacturer B is
greater than 1150 h.
The probability that the
mean life of the bulbs in a
sample of 125 bulbs from
Manufacturer A is at least
1450.
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