Prob 1 Quality of Life QOL-Base QOL-3mo Delta WUNNN W n (number of Pairs) 1-pt Mean = Std. Dev.= SE= Ho: ud = Ha: ud # tstat = From Table C and df = 9, then p> Conclusion 1-pt Prob 2 Histidine Excretion Construct 95% Confidence Interval around the Difference of the Means Group n Mean Std Dev Men 5 219.40 32.37 Women 6 63.83 1.73 Delta (Difference of Means) 1/2-pt SE Given t (9,.95) = m= 1/2-pt LCL = UCL = Significant Difference? Prob 3 Changes in Bone Loss for Breastfeeding Women Group Mean Std Dev Control 22 0.31 1.30 Breastfeeding 47 -3.59 2.51 Mean Difference = SE sqrt((1.30 2/22)+(2.51~2/47)) df = 21 Use Conservative value for df Ho: ul - u2 Ha: ul - u2 # 1/2-pt tstat = 1/2-pt From Table C and df = ? p> Conclusion 1-pt Prob 4 Flouridation and Cavity-Free Rates Mean Difference SE= Ho: ud = Ha: ud # tstat p-value= Conclusion Prob 5 SCR Levels vs Generic Manufacturer Mean Difference = SE : Ho: ul - u2 Ha: ul - u2 # tstat = p-value = ConclusionProblem 1 Quality of Life Benign prostatic hyperplasia is a non-cancerous enlargement of the prostate gland that adversely affects the quality of life of millions of men. A study of a minimally invasive procedure for the treatment of this condition looked at pretreatment Quality of Life (QOL_Base) and Quality of Life (QOL_3Mo) after 3 months on treatment. Quality of Life was rated using an ordinal scale of 0 to 6, where 0 is \"Delighted\" and 6 is \"Terrible\" Create a \"Delta\" column depicting the Difference between the Base and 3-month ratings Find the Mean of the Differences, Standard Deviation and Standard Error for the Delta values Is there a Signicant Difference in Quality of Life 3 months after treatment? Find the ts\"n value and the corresponding p-value boundaries using Table C Problem 2 Histidine Excretion Histidine excretion was measured for both men and women on a protein restricted diet over a 24-hour period. The Mean for the 5 Men was 219.40 with a Standard Deviation = 32.37. The Mean for the 6 Women was 163.83 with a Standard Deviation = 41.73. Find the 95% Condence Interval for the Difference of the Means (use dfm = 9) Based on the interval limits, could you conclude if there is a Signicant Difference? Problem 3 Lactation and Bone Loss A study compared changes in bone loss in 22 women who are neither pregnant nor lactating (Control group) to that of 47 comparably aged women who are breastfeeding. The Mean changes in bone loss for the Control group was +0.31 with a Standard Deviation = 1.30, whereas the Mean changes in bone loss for the Breastfeeding women was -3.59 with a Standard deviation = 2.51. Conduct a Two Independent Samples t-test to determine if there is a Signicant Difference in Changes in Bone Loss for Breastfeeding Women. Problem 4 Fluoridation and Cavity-Free Rates A community trial examined the effects of public water uoridation projects on the incidence of dental cavities in 16 North American cities. Cavity-free rates per 100 children were measured before and after the water uoridation projects. Was there an Increase in \"Cavity-Free\" Rates after Fluoridation of the water? Access the SPSS data le: uoridesav Run a Paired t-test of the Before and After data: AnalyzeCompare MeansPaired-Samples t-test What is the Mean Difference, Standard Error, t-stat and p-value What is your conclusion? Problem 5 SCR Levels by Generic Manufacturer Access the le you created previously. Conduct an Independent Samples t-test for SCR levels by Generic Manufacturer (Generic =1 vs Generic = 2): AnalyzeCompare Meansfalndependent Samples ttest What is the Mean Difference, Standard Error, t-stat and p-Value What is your conclusion