00:01
For this problem to begin, i'll note that we find our chi -squared statistic by taking the sum over all of the categories, so sum from i equals 1 to k, where we have k different categories, of the observed frequency minus the expected frequency, squared, divided by the expected frequency, where we'll find our expected frequencies by taking the total sample size, n, times the expected proportion, where we find our expected proportions from the household percent, or from the percent of u .s.
00:35
Households column.
00:37
So for actually calculating this out, i'll jump over into excel.
00:41
So setting everything up here, we have the percent, then i'll have the expected, the observed, then o minus e squared over e.
00:56
So the percentages are, let's see here, 0 .26, 0 .29, 0 .09, 0 .25, 0 .11.
01:06
We find the expected frequencies by taking the percentages and multiplying them by, well, we're told that we have 411 households in the sample, so we multiply each by 411.
01:18
So we have our expected frequencies, shown here, then the observed frequencies are the frequencies from the community in montana.
01:28
So we have, let's see here, 96, 123, 29, did i miss one? 29, 98, 65.
01:41
No, it does not look like i missed one, but i'm just going to double check.
01:44
So we have married with children, married, no children, single parent, one person, and other.
01:48
Okay, yeah, there we go.
01:50
Then, we calculate out the standardized residuals for each...