N = 20, the number of questions
p = 1/5 = 0.2, the probability of making a correct guess
q = 1 - p = 0.8, the probability of making an incorrect guess.
Expected success = 60% or 6 of 10.
From the binomial distribution,
P(6 of 10) = ₁₀C₆ p⁶q⁴
= 210*0.2⁶*0.8⁴ = 0.0055
Answer: 0.0055
Answer:
Step-by-step explanation:
5-500 is sqare 5
Outcome Red Blue Green Yellow
Frequency 10 5 13 7 total: 35 trials
experimental probability of Yellow: 7/35 =1/5 or 20%
experimental probability of Blue or Red: 5/35 + 10/35 = 15/35 = 3/7 or 42.86%
The sample is biased. This is because all he interviewed are employees of the company. They are more inclined to give a positive feedback regardless of their true opinion because they want to retain their jobs.
