It is basically a comparison of the statistical measures of the data with one sample(population) or two samples(populations) or more than two samples(populations). There are two hypotheses namely NULL and ALTERNATIVE.
The tail of the hypothesis will be decided from the alternative hypothesis. If it is '<' then left tail; '>' then right tail;
As the sample size is more than 30, the testing of the hypothesis is Z-test.
It is the hypothesis testing done for comparing the mean of the data to a specific value. As the name says it is a one-sample t-test, the data of one sample is considered for the complete hypothesis testing and the test statistics will be found from that data.
The level of significance is not mentioned so, it is considered to be the commonly used level of significance, that is
The test statistics
The P-value of the Test statistics is
The P-value is less than the level of significance,
Therefore, there is sufficient evidence to reject the null hypothesis.
The mean waiting time in the hospital is less than 65 minutes. That is, the mean waiting time in the hospital is not more than 65 minutes.
For the provided sample mean, sample size, and population standard deviation, complete parts (a) through (c) below.
a. Find a 95% confidence interval for the population mean.