00:01
Once again, welcome to a new problem this time.
00:05
We're dealing with inferential statistics.
00:10
We're dealing with inferential statistics.
00:14
And when it comes to inferential statistics, we have hypothesis testing.
00:23
We have hypothesis testing.
00:25
And under hypothesis testing, we have hypothesis testing for means, where the test statistic, the test statistic is the same as t equals to, the test statistic is either the same as t equals to x bar minus mu, s of a radical n, that's the test statistic.
00:59
And so we have a new problem, and in this problem that we're looking at, we have a new problem.
01:06
The per capita water use for single family homes at 75 gallons per day.
01:15
And this is based off of information provided by the american water works.
01:22
So based on the efficient use of the systems installed, we sample 26 owners and these are the respondents.
01:35
And the sample mean for our water use is 72 gallons per day and the standard deviation happens to be 7 .2 gallons per day.
01:45
At alpha equals to 0 .025, we want to determine if the residents use less water.
01:55
So again, we have the now hypotheses and we are hypothesizing that the amount of water that they use on average is 75 gallons per day.
02:12
And the alternative hypothesis is that they're using less water, so less than 75 gallons per day.
02:23
And the next step is that we're going to compute a test statistic.
02:31
We're going to compute a test statistic...