In order to interpret a goodness-of-fit test, it's important for statisticians to establish an alpha level, such as the p-value for the chi-square test. The p-value refers to the probability of getting results close to extremes of the observed results. This assumes that the null hypothesis is correct. A null hypothesis asserts there is no relationship that exists between variables, and the alternative hypothesis assumes that a relationship exists.

Instead, the frequency of the observed values is measured and subsequently used with the expected values and the degrees of freedom to calculate chi-square. If the result is lower than alpha, the null hypothesis is invalid, indicating a relationship exists between the variables

1.state the order of events that lead to the generation of the LH

2.conceoptualize on the Atresia as exhibited by oogonia

3.what are the contributions of the Testosterone contrast of the corpus luteum?

4. The fluid from which of the following accessory gland neutralize the acidity in a vagina of the female?explain

5.what are the limitations of the prostate gland

6.elaborate on Fructose as an energy source for sperms

7.relate the Leydig cell to the sex hormone

8.locate the synthesis site for the Epididymis by explanation

9.justify; The incomplete descent of the testes into the scrotum is called cryptorchidism.

10.synonomise the primary sex organ?explain there after