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Section 5.5
Normal Approximations to
Binomial Distributions
Approximating a Binomial
Distribution
ο‚› Normal
Approximation to a Binomial
Distribution:
ο‚›
If np β‰₯ 5 and nq β‰₯ 5, then the binomial random
variable x is approximately normally distributed,
with mean
πœ‡ = 𝑛𝑝
ο‚›
And standard deviation
𝜎 = π‘›π‘π‘ž
Example 1
ο‚›
Two binomial experiments are listed. Decide
whether you can use the normal distribution to
approximate x, the number of people who reply
yes. If you can, find the mean and standard
deviation. If you cannot, explain why.
ο‚›
34% of people in the US say that they are likely to
make a New Year’s resolution. You randomly select
15 people in the US and ask each if he or she is likely
to make a New Year’s resolution.
Example 1 Continued
ο‚›
Two binomial experiments are listed. Decide whether
you can use the normal distribution to approximate x,
the number of people who reply yes. If you can, find
the mean and standard deviation. If you cannot,
explain why.
ο‚›
6% of people in the US who made a New Year’s
resolution resolved to exercise more. You
randomly select 65 people in the US who made
a resolution and ask each if he or she resolved
to exercise more.
Example 2
ο‚›
Use a correction for continuity to convert each of the following binomial intervals to a
normal distribution interval.
ο‚›
The probability of getting between 270 and 310 successes, inclusive.
ο‚›
The probability of at least 158 successes.
ο‚›
The probability of getting less than 63 successes.
ο‚›
The probability of getting between 57 and 83 success, inclusive.
ο‚›
The probability of getting at most 54 successes.
Approximating Binomial
Probabilities
ο‚›
Guidelines: Using the normal distribution to approximate binomial probabilities:
ο‚›
Verify that the binomial distribution applies.
ο‚›
Determine if you can use the normal distribution to approximate x, the binomial
variable.
ο‚›
Find the mean and standard deviation for the distribution.
ο‚›
Apply the appropriate continuity correction. Shade the corresponding area under the
curve.
ο‚›
Find the corresponding z-score(s).
ο‚›
Find the probability.
Example 3
ο‚›
Thirty-four percent of people in the U.S. say that they are
likely to make a New Year’s resolution. You randomly
select 15 people in the U.S. and ask each if he or she is
likely to make a New Year’s resolution. What is the
probability that fewer than eight of them respond yes?
ο‚›
There is a 90.49% chance
that fewer than 8 people will
respond yes.
Example 4
ο‚›
Thirty-eight percent of people in the U.S. admit that they
snoop in other people medicine cabinets. You
randomly select 200 people in the U.S. and ask each if
he or she snoops in other people’s medicine cabinets.
What is the probability that at least 70 will say yes?
ο‚›
There is an 82.89% chance that at least 70
people will admit to snooping in other
people’s medicine cabinets.
Example 4
ο‚›
What is the probability that at most 85 people will say
yes?
ο‚›
There is an 91.62% chance that at least 85 people will admit
to snooping in other people’s medicine cabinets.
TOTD
ο‚›
A binomial experiment is given. Decide
whether you can use the normal distribution
to approximate the binomial distribution. If
you can, find the mean and standard
deviation. If you cannot, explain why.
ο‚›
A survey of U.S. adults found that 44% read
every word of a credit card contract. You ask
10 adults selected at random if he or she reads
every word of a credit card contract.
Example 5
ο‚›
A survey reports that 95% of Internet users use Microsoft
Internet Explorer as their browser. You randomly select
200 Internet users and ask each whether he or she uses
Microsoft Internet Explorer as his or her browser. What is
the probability that exactly 194 will say yes?
ο‚›
There is a 5.5% chance that exactly
194 people will use Microsoft
Internet Explorer as their browser.
Example 5
ο‚›
What is the probability that exactly 191 people will say
yes?
ο‚›
There is a 12.43% chance that exactly 191 people will use
Microsoft Internet Explorer as their browser.
TOTD
ο‚›
Fifty-two percent of adults say chocolate chip is
their favorite cookie. You randomly select 40
adults and ask each if chocolate chip is his or her
favorite cookie.
ο‚›
Find the probability that at most 15 people say
chocolate chip is their favorite cookie.
ο‚›
Find the probability that at least 15 people say
chocolate chip is their favorite cookie.