In: Statistics and Probability
For any Hypothesis Test make sure to state Ho, Ha, Test statistic, p-value, whether you reject Ho, and your conclusion in the words of the claim. For any confidence interval make sure that you interpret the interval in context, in addition to using it for inference.
Round to the thousandths place
A survey is given to 300 random SCSU students to determine their opinion of being a “Tobacco Free Campus.” Of the 300 students surveyed, 228 were in favor a tobacco free campus.
sample proportion, = 0.76
sample size, n = 300
Standard error, SE = sqrt(pcap * (1 - pcap)/n)
SE = sqrt(0.76 * (1 - 0.76)/300) = 0.02466
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, Zc = Z(α/2) = 1.96
CI = (pcap - z*SE, pcap + z*SE)
CI = (0.76 - 1.96 * 0.02466 , 0.76 + 1.96 * 0.02466)
CI = (0.7117 , 0.8083)
we are 95% confident that the proportion of all SCSU students in
favor of a tobacco free campus is between 0.7117 and 0.8083
Margin of Error, ME = zc * SE
ME = 1.96 * 0.02466
ME = 0.048
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: p = 0.7
Alternative Hypothesis, Ha: p > 0.7
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.76 - 0.7)/sqrt(0.7*(1-0.7)/300)
z = 2.27
P-value Approach
P-value = 0.0116
As P-value < 0.05, reject the null hypothesis.
There is sufficient evidence to conclude that at least 70% of
all students are in favor of a tobacco free campus