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FBMI| MBMI| Descriptive StatisticsColumn 1 FBMI pattern Size, n: 40 consider: 25.74Median: 23.9Midrange: 31.3RMS: 26.45017Variance, s^2: 38.01426St Dev, s: 6.16557 flirt with Abs Dev: 4.866Range: 27.2Coeff. Of Var. 23.95%Minimum: 17.71st Quartile: 20.952nd Quartile: 23.93rd Quartile: 29.4Maximum: 44.9Sum: 1029.6Sum Sq: 27984.46| Descriptive StatisticsColumn 2 MBMISample Size, n: 40Mean: 25.9975Median: 26.2Midrange: 26.4RMS: 26.21728Variance, s^2: 11.76999St Dev, s: 3.430742Mean Abs Dev: 2.637625Range: 13.6Coeff. Of Var. 13.20%Minimum: 19.61st Quartile: 23.652nd Quartile: 26.23rd Quartile: 27.6Maximum: 33.2Sum: 1039.9Sum Sq: 27493.83| CI #1 Prop. Women w/ well-informed Body Weight valuation accou nt of error, E = 0.1547548 95% potency legal insulation: 0.3202452 < p < 0.6297548 CI #2 Prop. Men w/ obtuse Body Weight Margin of error, E = 0.151818 95% dominance legal separation: 0.248182 < p < 0.551818 CI #3 Mean Male BMI Margin of error, E = 1.097203 95% Confident the cosmos squiffy is inside the range: 24.9003 < suppose <27.0947 CI #4 Mean female person BMI Margin of error, E = 1.

971843 95% Confident the population mean is within the range: 23.76816 < mean <27.71184 CI #5 Mean Difference in BMIs non eq. vars: No Pool (and df calculate with Formula 9-1) quiz Statistic, t: -0.2308 deprecative t: ±1.999597 P-Value: 0.8182 Degrees of emancipat! ion: 61.0378 95% Confidence legal separation: -2.488288 < µ1-µ2 < 1.973288 Test #1 Men P ? .5 aim: p > p(hyp) Sample residual: 0.4 Test Statistic, z: -1.2649 Critical z: 1.2816 P-Value: 0.8970 80% Confidence interval: 0.3007313 < p < 0.4992687 come apart to Reject the Null Hypothesis Sample does not put up enough evidence to support the claim. Test # 2 Women P ?.5 Claim: p > p(hyp) Sample...If you want to work over a full essay, order it on our website: OrderEssay.net

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