Answer:
The probability that less than 7.1% of the individuals in this sample hold multiple jobs is 0.0043.
Step-by-step explanation:
Let <em>X</em> = number of individuals in the United States who held multiple jobs.
The probability that an individual holds multiple jobs is, <em>p</em> = 0.13.
The sample of employed individuals selected is of size, <em>n</em> = 225.
An individual holding multiple jobs is independent of the others.
The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> = 225 and <em>p</em> = 0.13.
But since the sample size is too large Normal approximation to Binomial can be used to define the distribution of proportion <em>p</em>.
Conditions of Normal approximation to Binomial are:
Check the conditions as follows:
![np=225\times 0.13=29.25>10\\n(1-p)=225\times (1-0.13)=195.75>10](https://tex.z-dn.net/?f=np%3D225%5Ctimes%200.13%3D29.25%3E10%5C%5Cn%281-p%29%3D225%5Ctimes%20%281-0.13%29%3D195.75%3E10)
The distribution of the proportion of individuals who hold multiple jobs is,
![p\sim N(p, \frac{p(1-p)}{n})](https://tex.z-dn.net/?f=p%5Csim%20N%28p%2C%20%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%29)
Compute the probability that less than 7.1% of the individuals in this sample hold multiple jobs as follows:
![P(p](https://tex.z-dn.net/?f=P%28p%3C0.071%29%3DP%28%5Cfrac%7Bp-%5Cmu%7D%7B%5Csigma%7D%3C%5Cfrac%7B0.071-0.13%7D%7B%5Csqrt%7B%5Cfrac%7B0.13%281-0.13%29%7D%7B225%7D%7D%7D%29%5C%5C%3DP%28Z%3C-2.63%29%5C%5C%3D1-P%28Z%3C2.63%29%5C%5C%3D1-0.9957%5C%5C%3D0.0043)
*Use a <em>z</em>-table.
Thus, the probability that less than 7.1% of the individuals in this sample hold multiple jobs is 0.0043.