00:01
Now first we need to state the null hypothesis.
00:03
Let's say we denote the null hypothesis as h0 and the alternative hypothesis as h1.
00:12
So the null hypothesis, the mean number of hours spent online per week is the same for males and females.
00:19
Ok, so say mu1 equals to mu2.
00:25
And the alternative hypothesis says that the mean number of hours spent online per week is different for males and females.
00:32
So mu1 is not equal to mu2.
00:40
Now we need to compute the test statistic.
00:44
Ok, so let's say for females, population 1 sample means xi equals to 10 and sample standard deviation s1 equals to 2, sample size n1 is equal to 50.
01:18
That for males, population 2, the sample mean x2, this is x1, is equal to 12.
01:36
S2 is equal to 3 and n2 is equal to 50.
01:44
Now we can compute the test statistic for the formula.
01:48
So t equals to x1 minus of x2 divided by the square root of s1 square divided by n2...