Answer:
98% confidence interval: (29.25,38.87)
Step-by-step explanation:
We are given the following in the question:
Sample mean, [tex]\bar{x}[/tex] = 34.06
Sample size, n = 134
Sample standard deviation, s = 23.83
a) 98% confidence interval
[tex]\bar{x} \pm z_{critical}\displaystyle\frac{s}{\sqrt{n}}[/tex]
Putting the values, we get,
[tex]z_{critical}\text{ at}~\alpha_{0.02} = \pm 2.33[/tex]
[tex]34.06 \pm 2.33(\frac{23.83}{\sqrt{133}} ) = 34.06 \pm 4.81 = (29.25,38.87)[/tex]
b) If a 95% confidence interval were constructed with these data, confidence interval would be narrower as the confidence level is decreasing as compared to 98%
c) If a sample of 150 students had been studied, the width of confidence interval will decrease as the sample size increases.