Assume that when adults with smartphones are randomly​ selected, 49​% use them in meetings or classes. If 9 adult smartphone users are randomly​ selected, find the probability that at least 3 of them use their smartphones in meetings or classes.

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Answer: 0.18173219

The probability is that at least 6 of 9 adults use their smartphones in meetings or classes is 0.18173219

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Using the binomial distribution, it is found that there is a 0.8999 = 89.99% probability that at least 3 of them use their smartphones in meetings or classes.

For each adult, there are only two possible outcomes. Either they use their smartphones in meetings or classes, or they do not. The probability of an adult using their smartphones in meetings or classes is independent of any other adult, which means that the binomial distribution is used to solve this question.

Binomial probability distribution

[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]

[tex]C_{n,x} = \frac{n!}{x!(n-x)!}[/tex]

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • Sample of 9 adults, thus [tex]n = 9[/tex].
  • 49% use their smartphones, thus [tex]p = 0.49[/tex].

The desired probability is:

[tex]P(X \geq 3) = 1 - P(X < 3)[/tex]

In which:

[tex]P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)[/tex]

Then

[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]

[tex]P(X = 0) = C_{9,0}.(0.49)^{0}.(0.51)^{9} = 0.0023[/tex]

[tex]P(X = 1) = C_{9,1}.(0.49)^{1}.(0.51)^{8} = 0.0202[/tex]

[tex]P(X = 2) = C_{9,2}.(0.49)^{2}.(0.51)^{7} = 0.0776[/tex]

[tex]P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0023 + 0.0202 + 0.0776 = 0.1001[/tex]

[tex]P(X \geq 3) = 1 - P(X < 3) = 1 - 0.1001 = 0.8999[/tex]

0.8999 = 89.99% probability that at least 3 of them use their smartphones in meetings or classes.

A similar problem is given at https://brainly.com/question/24863377