A statistics professor has 115 students in a statistics clas
A statistics professor has 115 students in a statistics class and would like to estimate the number of hours each student studied for the last exam. A random sample of 41 students was found to study an average of 7.3 hours with a standard deviation of 1.9 hours. The 98% confidence interval to estimate the average number of hours studying for the exam is ________.
(5.18, 9.42)
(5.82, 8.79)
(6.11, 8.49)
(6.72, 7.88)
| (5.18, 9.42) | ||
| (5.82, 8.79) | ||
| (6.11, 8.49) | ||
| (6.72, 7.88) |
Solution
Note that
Margin of Error E = t(alpha/2) * s / sqrt(n)
Lower Bound = X - t(alpha/2) * s / sqrt(n)
Upper Bound = X + t(alpha/2) * s / sqrt(n)
where
alpha/2 = (1 - confidence level)/2 = 0.01
X = sample mean = 7.3
t(alpha/2) = critical t for the confidence interval = 2.423256779
s = sample standard deviation = s*sqrt[(N-n)/(N-1)] = 1.530795
n = sample size = 41
df = n - 1 = 40
Thus,
Margin of Error E = 0.579328032
Lower bound = 6.720671968
Upper bound = 7.879328032
Thus, the confidence interval is
( 6.72 , 7.88 ) [ANSWER, D]
