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Liono4ka [1.6K]
2 years ago
12

William is a 38-year-old computer systems executive. he has come to a point in his life where he is reassessing his ambitions an

d personal life. he attends professional development conferences regularly and is working on an mba. although he eats a low-fat diet and exercises regularly, he works 70-80 hours a week, seldom sees his children except after they are in bed, does not visit his place of worship except on religious holidays, and feels as though his wife is a stranger. william believes that if he can earn just 20 percent more, he can relax because his family will be financially secure. refer to case 17.1. in order to attain a "right livelihood," william needs to
Social Studies
2 answers:
a_sh-v [17]2 years ago
6 0
Spend more time with family.Happiness is the best medicine for events like that

OLga [1]2 years ago
5 0

Answer:

William needs to find a balance between his professional and personal life.

Explanation:

William is investing a lot in his working life because he believes that this will increase his salary and provide a more comfortable life for his family. However, William's overwork has caused an imbalance in his personal life and has made his family uncomfortable as he has no time for his wife and children.

Even with the salary increase, both William himself and his family will be unhappy because they do not spend a good time together doing some activity that brings them closer. On the contrary, William has been moving his family away more and more.

For this reason, in order to achieve a "right livelihood," William will need to strike a balance between his work life and his personal life. William's salary is important to his family's happiness, but so is his presence.

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Answer:  t=-5.651

Explanation:

Let \mu be the population mean number of hours a week answering their email.

As per given  we have

H_0: \mu\geq7\\\\ H_a: \mu

Sample size : n= 783

Sample mean : \overline{x}=5.54

Sample standard deviation: s=7.23

Since population standard deviation is unknown, so our test -statistic has a t-distribution.

Test statistic : t=\dfrac{\overline{x}-\mu}{\dfrac{s}{\sqrt{n}}}

=\dfrac{5.54-7}{\dfrac{7.23}{\sqrt{783}}}\\\\\\=\dfrac{-1.46}{0.2583791}\\\\\approx-5.651

∴ The test statistic : t=-5.651

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