Answer: 0.32768
Step-by-step explanation:
Let x= number of employees have college degree.
Binomial probability formula :
, where p probability of success in each trial , n= sample size, x= number of successes.
As per given , p =0.80 , n= 5 , x=5
![P(x=5)=\ ^5C_5(0.8)^5(0.2)^{0}= (1)(0..8)^5(1)\ \ \ [\ ^nC_n=1]\\\\= 0.32768](https://tex.z-dn.net/?f=P%28x%3D5%29%3D%5C%20%5E5C_5%280.8%29%5E5%280.2%29%5E%7B0%7D%3D%20%281%29%280..8%29%5E5%281%29%5C%20%5C%20%5C%20%5B%5C%20%5EnC_n%3D1%5D%5C%5C%5C%5C%3D%200.32768)
Hence , the probability that all 5 will have college degrees = 0.32768
289Step-by-step explanation: To get my answer, i simply just had to count the numbers, which gave me 289
![\Huge\green{\tt{✏Answer✏}}](https://tex.z-dn.net/?f=%5CHuge%5Cgreen%7B%5Ctt%7B%E2%9C%8FAnswer%E2%9C%8F%7D%7D)
<em>1 us liquid quart =</em>
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<em>2 us liquid </em><em>pints</em></h2>
<em>
</em>
<em>#CarryOnLearning</em>
<h2>
<em>hit that heart and dont forget to follow hehe thx<3</em></h2>
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![\huge{꧁༒Maizen༒꧂}](https://tex.z-dn.net/?f=%5Chuge%7B%EA%A7%81%E0%BC%92Maizen%E0%BC%92%EA%A7%82%7D)
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2 1/6 - (-8/3) - 4 7/9 = 2 1/6 + 2 2/3 - 4 7/9 = (3 + 12 - 14)/18 = 1/18