It is estimated that 16.6% of all adults in the U.S. are uninsured. You take a random sample of 250 adults seen by a certain clinic and nd that 50 are uninsured. In such groups of 250 U.S adults, what is the mean number of those that would be uninsured? round to 1 decimal place U= What is the standard deviation? round to 2 decimal places 0=

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### Question 7

It is estimated that 16.6% of all adults in the U.S. are uninsured. You take a random sample of 250 adults seen by a certain clinic and find that 50 are uninsured. 

In such groups of 250 U.S. adults, what is the mean number of those that would be uninsured? Round to 1 decimal place.

- \(\mu =\) [Input Box]

What is the standard deviation? Round to 2 decimal places.

- \(\sigma =\) [Input Box]

### Explanation:

This problem involves calculating the mean and standard deviation for a binomial distribution. The mean (\(\mu\)) is calculated as follows:

\[
\mu = n \times p
\]

where \(n\) is the sample size (250) and \(p\) is the probability of being uninsured (16.6% or 0.166).

The standard deviation (\(\sigma\)) is calculated using the formula:

\[
\sigma = \sqrt{n \times p \times (1-p)}
\] 

These calculations help in understanding the expected number of uninsured adults and the variability in different samples.
Transcribed Image Text:### Question 7 It is estimated that 16.6% of all adults in the U.S. are uninsured. You take a random sample of 250 adults seen by a certain clinic and find that 50 are uninsured. In such groups of 250 U.S. adults, what is the mean number of those that would be uninsured? Round to 1 decimal place. - \(\mu =\) [Input Box] What is the standard deviation? Round to 2 decimal places. - \(\sigma =\) [Input Box] ### Explanation: This problem involves calculating the mean and standard deviation for a binomial distribution. The mean (\(\mu\)) is calculated as follows: \[ \mu = n \times p \] where \(n\) is the sample size (250) and \(p\) is the probability of being uninsured (16.6% or 0.166). The standard deviation (\(\sigma\)) is calculated using the formula: \[ \sigma = \sqrt{n \times p \times (1-p)} \] These calculations help in understanding the expected number of uninsured adults and the variability in different samples.
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