The probability that 117 or fewer of 205 randomly selected marketing researchers would disapprove of the practice = 0.0104.
When the sample size is large, the binomial distribution is employed instead of the normal approximation since the calculation becomes more complicated when the sample size is large.
Now,
Let the sample size be n and the number of people who disapprove of the practice be x.
Then, n = 205, x = 117
Then, by normal approximation, the value of mean (μ) will be given by:
μ = np = 205(0.65) = 133.25
Standard deviation (σ) = [tex]\sqrt{np(1-p)}[/tex]
σ = 205(0.65)(1 - 0.65) = 133.25(0.35) = 6.83
The probability that 117 or fewer of 205 randomly selected marketing researchers would disapprove of the practice:
P(x ≤ 117) = P (x < 117 + 0.5) (By Continuity correction Factor)
=> P(x ≤ 117) = P ( x < 117.5)
=> P(x ≤ 117) = P ( z < [tex]\frac{117.5 - 133.25}{6.83}[/tex])
=> P(x ≤ 117) = P ( z < -2.31)
=> P(x ≤ 117) = 0.0104
Hence, the probability that 117 or fewer of 205 randomly selected marketing researchers would disapprove of the practice = 0.0104.
To learn more about normal approximation, refer to the link: https://brainly.com/question/2193433
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