00:02
All right, the question says according to a john hopkins university study published in america, journal of public health, widows live longer than widowers.
00:17
Consider the following survival data collected on hundred widows and hundred widowers following the death of a spouse.
00:27
Right, years lived, the widower less than five years, 25.
00:33
The widow is 39, then 5 to 10 years, widow is 42, then a widow it's 40, then more than 10 years is 33 for the widow and widow are 21 there.
00:51
Can we conclude at the 0 .05 level of significance that the proportions of widows and widowers are equally, are equal with respect to the different time periods that espouse, survives after the death of his or her of her mate okay right can we conclude at the 0 .5 level significance that the proportions of the widows and widows are equal with respect to the different time periods that espouse survives after the death of their of his or her mate okay so what we are going to do let's take the the hypothesis so we are saying the null hypothesis there the proportions of widows and widows are equal right with respect to the different time period so we're saying the now hypothesis is saying their proportions are equal but they are the alternate hypothesis is saying the proportions are not equal there so with the 0 .05 uh significant level and the kai squared there is 5 is greater than 5 .9 .9 with 2 degrees of freedom there.
02:17
So let's do a simple calculation there.
02:23
Right.
02:23
We see observed and expected frequencies...