00:01
In this question, first of all, we have to set up the hypothesis.
00:07
So, let's set up the hypothesis.
00:10
So, first of all, the null hypothesis, that is h nods.
00:13
So, the null hypothesis will be the average mileage, average mileage of the tire that is manufactured by the company, which is at least, at least 81 ,000 kilometers.
00:33
That means mu is greater than equal to 81 ,000 kilometers and against the alternate hypothesis that says the average mileage the average mileage of tire is lower than lower than 81 ,000 kilometer that means the mu is less than 81 ,000.
01:05
Here we can see that the alternate hypothesis is the left side that is lessened.
01:11
So we can say that this is the left tilt test.
01:15
Left till test.
01:21
And we are given that the population standard division is 12 ,800 km and the sample size is 34.
01:32
So, if the population standard division is known, then we can use z test.
01:44
For this, the test statistics, that means z statistics is equal to x bar minus mu upon sigma upon root n that follows standard normal between zero and various ones.
01:58
So first of all, we have to find the test statistics.
02:01
So put the values...