In this final assignment, we will revisit datasets that we have utilized in previous assignments, but with new objectives.In the Week One assignment, you looked at mortality in yourparticular state, with two different metrics: the first was numbers ofdeaths, and the second was years of life lost. For this question, returnto the original dataset, but this time first pool all cancercauses of death together, so that cancer constitutes the only categoryfor cause of death. Then, repeat your analyses from Week One. How doyour conclusions change?In the Week Two assignment, you looked at sex ratios for births in your state.Take the data you have assembled from the second part ofyour Week Two assignment, namely, numbers of first-born boy and girlbirths in your state between 2007 and 2012, separately by racial group(i.e., American Indians, Asians, Blacks, and Whites). Form a two-by-fourcontingency table from these data: the two row categories are female(girl) and male (boy), and the four column categories are the fourracial groups. Calculate the chi-square statistic from this contingencytable, and interpret the result.Return to the CDC Wonder website,and obtain the numbers of births in your state between 2007 and 2012,by month. (Disregard gender, or race, or birth order—you want allbirths). Calculate a chi-square statistic to assess whether there is anyseasonality to births. (Your null hypothesis is that births should beequally likely to occur in any of the 12 months. We are ignoring thevarying lengths of the months to simplify calculations.) How would youinterpret your findings? Explain in 500 words in APA format supported byscholarly sources.BONUS: Give a graphical representation of your findings for this portion highlighting what you consider significant.In the Week Three assignment, you were given levels oftumor-associated antigens in a sample of 90 normal (non-cancer)individuals, and 160 hepatocellular carcinoma (HCC) patients. Here is aproposed diagnostic test for HCC:For each individual, calculate a numerical score:score = -3.95 + 10.7 * HCC1 – 4.14 * P16 + 13.95 * P53 + 28.92 * P90 + 6.48 * survivin (This equation was derived from logistic regression.) If this score is positive (i.e., > 0), diagnose thisindividual as an HCC patient; if this score is negative (i.e., <0),diagnose this individual as normal (i.e., non-cancer).Apply this rule to the entire cohort of 250 individuals.Report the sensitivity of this rule, the specificity, the false positiverate, the false negative rate, and the overall accuracy. Do you thinkthe score function provides a good diagnostic test for HCC? Explain.In the Week Four assignment, we considered a simple two-by-twocrossover trial of a new experimental treatment for interstitialcystitis. We calculated t tests for carryover and treatment effects, butwe have not yet considered period effects. It is unlikely that thereare any period effects in this trial, but we may want to test thisformally. If there were a period effect, then patient responses undereither treatment would likely be systematically higher in one periodthan the other. (Here’s an analogy: Think of taking the same test twice.You would likely perform better on the test the second time, since youhave learned from your experience of taking the first test.) Explain howyou would devise a t test for assessing a period effect in this trial.(Hint: look at the explanation of the t test for treatment effects givenin the Week Four assignment. There, we based the test on the randomvariable X – Y. Suppose we look instead at X + Y?) In the Week Five assignment, you investigated measures of brainsize and intelligence in a sample of 20 youths. A potential shortcomingof your prior analyses is that you did not take into account allavailable information in the dataset, in particular, gender. Answer thefollowing questions and explain your answers:Do any of the physiologic variables CCSA, HC, TOTSA, TOTVOL, and WEIGHT differ significantly between males and females?Do IQs differ significantly by gender?Undertake a paired analysis of IQs, in order to assesswhether firstborns have higher IQs than non-firstborns. In this regard,there are 10 pairs of related youths, as denoted by the variable PAIR.Completing the Final ProjectThe Final Project:Must include a title page with the following:Title of paperStudent’s nameCourse name and numberInstructor’s nameDate submittedMust begin with an introductory paragraph that has a succinct thesis statement.Must address the topic of the paper with critical thought.Must end with a conclusion that reaffirms your thesis.Must use at least three scholarly, peer-reviewed sourcespublished within the last five years (not including the course text) orthose applicable to the data sets.Must document all sources in APA style.Must include a separate reference page, formatted according toAPA style.  The number ofpages must be applicable to the specific data sets outlined in the FinalProject assignment.