A chi-square test is often used as a "goodness-of-fit" test. You have a null hypothesis under which you expect some results. You carry out observations and get a set of results. The expected and observed results are used to calculate the chi-square statistic. This statistic is used to test how well the observations match the values expected under the null hypothesis. In other words, how good the fit between observed and expected values is.
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For goodness of fit test using Chisquare test, Expected frequency = Total number of observations * theoretical probability specified or Expected frequency = Total number of observations / Number of categories if theoretical frequencies are not given. For contingency tables (test for independence) Expected frequency = (Row total * Column total) / Grand total for each cell
you can test during the period, or anytime afterward if you are concerned that you were pregnant during the light period. ~pawsalmighty
The level of significance; that is the probability that a statistical test will give a false positive error.
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positive lachman is essentially diagnostic of complete rupture of the antior cruciate ligament (ACL)