00:02
So here x value y x1 x2 terms have been obtained.
00:10
Now we are going to consider x2 column alone of the given data.
00:16
So the objective is to test whether the average waiting time has been changed or not.
00:22
From the available information it is given that the average time of the customer takes wealth up, teller at a particular bank is 130 seconds, 1 .30 seconds, that is mu is equal to 130.
00:40
Mu is equal to 130.
00:43
Therefore the null hypothesis is that the average time of the customer takes with a teller at a particular bank is 1 30 seconds.
00:55
Symbolically we can write h0 to be mu is equal to 130, h .0 to be mu is equal to 130.
01:05
Therefore our alternative hypothesis will be h1, mu not equal to 130.
01:13
So, the direction of the alternative hypothesis is not equal.
01:18
Therefore the test is a two -tailed test.
01:21
The concept is a two -tailed test.
01:24
Next we have to calculate the population standard deviation.
01:29
Here the population in standard deviation is unknown, the test used here is a one sample t test.
01:36
The test used here is a one sample t test in the second concept.
01:43
One sample t test.
01:47
Therefore the test statistics can be obtained in terms of t is equal to x bar minus mu divided by s divided by root n.
01:57
So here the x bar is the sample mean, this is the sample mean, this will be the population mean, and s is the sample standard deviation and n is the sample sites.
02:14
So the complete mean, the sample mean is computed in terms of x bar is equal to 1 divided by n summation xi where i is equal to 1 to 1 to n.
02:26
While adding up all the x2 variables alone, x2 variables alone we will be getting the term to be 133 .733.
02:40
Adding and dividing it by 15 we will be getting 133 .73 .73.
02:47
Similarly, the sample standard deviation can be obtained in terms of summation xi minus x bar, the whole square divided by n minus 1.
03:02
So here it will be in terms of where i is equal to 1 2n.
03:07
So for the same samples, that is in terms of x2 concept.
03:13
For this sample we are calculating the standard deviation and the standard deviation obtained here is 9 .8595.
03:23
9 .8595...