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Question.3162 - It is expected that you will present a ‘professional’ looking document for this project. Be sure to answer all questions with simple declarative sentences. Present 2 copies of this project with one staple in the top left corner of each copy. At the top of the first page place you name, and the Course Name. (No Binders). neatness counts! English counts! Read these directions carefully because adhering to them counts too! You may get assistance on this project from any source, but the final presentation must be your own work. This presentation is assumed to be directed to a reader who has some knowledge of statistics. It is not necessary to show steps in calculator solutions but it is necessary to present formulas and identify variables. Reproduce all questions as presented. Completely solve the problem, show all formulas used and discuss why they were chosen for the particular problem. If conditions must be met state them and show how they are met. Also show the results of a calculator approach to solving the problem if appropriate. Discuss the P-value method as well as the traditional method where appropriate and present a simple graph to illustrate your discussion. Be sure to answer the question(s) asked (a number is not an answer) in sentence form. • Section 8.3, page 411, number 28. (Bias in Jury Selection)• Section 8.5, page 429, number 26 (Number of English Words)• In clinical trials of Nasonex, 3274 adult and adolescent allergy patients (12 years and older) were randomly divided into two groups. The patients in Group 1 (experimental group) received 200 meg of Nasonex, while the patients in Group 2 (control group) received a placebo. Of the 2103 patients in the experimental group, 547 reported headaches as a side effect. Of the 1671 patients in the control group, 368 reported headaches as a side effect. Is there significant evidence to support the claim that the proportion of Nasonex users that experienced headaches as a side effect is greater than the proportion in the control group at the α = 0.05 level of significance?• Concrete Strength: An engineer wanted to know whether the strength of two different concrete mixtures differed significantly. He randomly selected 9 cylinders , measuring 6 inches in diameter and 12 inches in height, into which mixture 67-0-301 was poured. After 28 days , he measured the strength, (in pounds per square inch) of the cylinder. He alsoselected 10 cylinders of mixture 67-0-400 and performed the same test. The results are as follows:67-0-301 mixture: 3960, 4090, 3100, 3830, 3200, 3780, 4081, 4040, 2940. 67-0-400 mixture: 4070, 4890, 5020, 4330, 4640, 5220, 4190, 3730, 4120, 4620. Plots indicate that the data are approximately normal and boxplots indicate that there are no outliers.a) Test the claim that mixture 67-0-400 is stronger than mixture 67-0-301 at the 0.05 level of significance. b) Construct a 90% confidence interval about μ400 - μ301 and interpret the results.• Section 9.4, page 483, number 16. (Tobacco and Alcohol in Children’s Movies)

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Ans x p xxxxxx of xxxxxxxx Americans xx Mexican xxxxxxxx x xx alpha xxxx hypothesis x the xxxxxxxxx process xx not xxxxxx against xxxxxxxxx of xxxxxxx ancestry xxxxx H xxxxxxxxx of xxx juror xxxx the xxxxxxxxxx is x Bernoulli xxxxxxxxxx with xxxxxxx probability x we xxxxx amp xxxx success xxx quot xxxx to xxxxxx a xxxxxxx American xx np x asymp xxx Z-statistic xx Z x x-np xx x x - x Pr x amp xx - x computation xxxxx maple xxxxx p xxxxx minus xx p xxxxx If x le xxxxx reject xxxx hypothesis xxxx p xx Therefore xx reject xxx null xxxxxxxxxx So xxx selection xxxxxxx is xxxxxx against xxxxxxxxx of xxxxxxx ancestryAns x micro xx null xxxxxxxxxx H x micro xxx gt xxxxxxxxx hypothesis xxx original xxxxx Sample xxxx n xxxxxxxxxxxx level xxxxx Sample xxxx n xxxxxxxxxx mean xxxxxxxx deviation xx the xxxxxx s xxxx statistics x t x Degrees xx freedom xx n- xxxx table xxxxxxxx value x The xxxx statistics x does xxx fall xx the xxxxxxxx region x se xx fail xx reject xxx null xxxxxxxxxx Therefore xxxxx are xxx more xxxx defined xxxxx in xxx dictionary xxxx the xxxx number xx defined xxxxx per xxxx is xxx more xxxx Ans xxxxxxxxxx Experimental xxxxx allergy xxxxxxxx -years xxx older xxx received xxx of xxxxxxx Population xxxxxxx group xxxxxxx patients xxxxxx and xxxxx who xxxxxxxx a xxxxxxx Success xxxxxxxxx experience xxxxxxxx p xx the xxxxxxxxxx of xxx Nasonex xxxxx who xxxxxxxxxx headaches x is xxx proportion xx all xxxxxxx Non-Nasonex xxxxx who xxxxxxxxxx headaches x n x x xx set xxxx hypothesisp x p x p x amp xx p x - x amp xx this xx a xxxxx tailed xxxx The xxxxx estimate xx - xxxxx We xxx -Prop-Z xxxx and xxx Test xxxxxxxxx z x - xxx gt x z xxx gt xxxxxxx amp xx significance xxxxx The xxxxxxx is xxxx small xx is xxxx unlikely x to xxxxxxx such x difference xxxxxxx sample xxxxxxxxxxx p xxxxx p xxxx the xxxxxxxxxx experiencing xxxxxxxxx is xxx same xx both xxxxxxxxxxx Such x difference xxxxxxx the xxxxxx proportions xx significantly xxxxxx than xxxx and xx is xxxx likely xx be xxxxxxxx when x is xxxxxx than x At xxx significance xxxxx we xxxxxxx the xxxxx that xxxxxxxxxx of xxxxxxx users xxxx experienced xxxxxxxxx as x side xxxxxx is xxxxxxx than xxx proportion xx the xxxxxxx group xxx Step x micro xxxxx H xxxxx amp xx micro xxxxx Mean xxxxxxxx of xxxxxxx - x micro xxxx strength xx mixture x - xxxx This xx a xxxxx tailed xxxx df xxx t xxx Hence xxxxxx H xx t xxx amp xx Step x n x t xxx Step xx amp xx we xxxxxx H xxxx Hence xxxxx is xxxxxx evidence xx conclude xxxx the xxxxxxx - x is xxxxxxxx than x - xxx con xxxxx interval xx given xx minus xxxxxx t xxxxx lowast xxxxxx We xxx con xxxx that xxx true xxxx di xxxxxx is xxxxxxx and xxx H xxxxx le xxxx hypothesis x a xxxxx amp xx alternate xxxxxxxxxx and xxxxxxxx claim xxxxxxxxxxxx level xxxxx Tobacco xxx sec xxxxxxx Use xxx difference x - x - x - x Standard xxxxxxxxx s x t xxxxxxx of xxxxxxx df xx Using xxxxx critical xxxxx t xxx test xxxxxxxxxx t xxxx not xxxx in xxx critical xxxxxx t xx we xxxx to xxxxxx the xxxx hypothesis xxxxxxxxx the xxxx of xxxxxxxxxx is xxx greater xxxx

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