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A stock market analyst notices that in a certain year, the price of IBM stock increased on 131 out of 252 trading days. Can these data be used to find a 95% confidence interval for the proportion of days that IBM stock increases

User Ron Lisle
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1 Answer

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Answer:

95% confidence interval for the proportion of days that IBM stock increases.

(0.45814 , 0.58146)

Explanation:

Step:1

Given that a stock market analyst notices that in a certain year, the price of IBM stock increased on 131 out of 252 trading days.

Given that the sample proportion


p^(-) = (131)/(252) = 0.5198

Level of significance = 0.05

Z₀.₀₅ = 1.96

Step:2

95% confidence interval for the proportion of days that IBM stock increases.


(p^(-) - Z_(0.05) (√(p(1-p)) )/(√(n) ) , p^(-) + Z_(0.05) (√(p(1-p)) )/(√(n) ) )


(0.5198 - 1.96(\sqrt{(0.5198(1-0.5198))/(252) } , 0.5198 +1.96(\sqrt{(0.5198(1-0.5198))/(252) })

(0.5198 - 0.06166 , 0.5198+0.06166)

(0.45814 , 0.58146)

Final answer:-

95% confidence interval for the proportion of days that IBM stock increases.

(0.45814 , 0.58146)

User Mamuesstack
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