Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the critical value.Assume that the samples are dependent and were obtained randomly.Click here to view the contingency table Click here to view the table of critical values of the chi-square distribution.(a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses?B. Ho: P1 = P2A. Ho: P1 # P2H1: P1 = P2H1:P, > P2C. Ho: P1 = P2H7: P, #P2D. Ho: P1 = P2H1:P, Chi-Square Distribution Critical Values TableContingency TableTreatment AChi-Square (x DistributionAreato the Right of Critical VahueSuccessFailureDegrees ofSuccess4630Treatment BFreedom09950.9909750950.900.100.050.0250.010.005Failure15250.0162.7064.6056.2515.0247.3789.3486.6359.21011.34513.27715.08610.0010.0043.84178790.0610.2165991781510.5970.0100.0720.207200200.1030.21101150.5841.0641.61030.35212.838PrintDone14.86016.7500.7117.77911.143029705540.48494880.4120.8311.1459.23611.07012.83316.81218.47520.09021.666232090.6760.8721.2391.6462.0882.5581.6352.1672.2042.8333.4904.1684.86510.6451259214.06715.50716.91918.30714.44916.013175351.23718.5480.9891.69012.017202781.3441.7352.15613.36214.68415.98721.9552358925.1882.1802.7332.7003.32519.023103.2473.94020.4833.8162.6033.07435654.0754.6013.0633.5714.1074.5755.2265.8926.5717.2615.5786.30470421727518.54919.81221.06419.67521.02622.36223.68524.99624.72526 217276881121.92026.75712134.4045.0095.6296.26223.33724.73626.11928.30029.8194.6605.229147.79029.14131.319158.54722.30727.4883057832.80151425.6976.2656.8445.8126.408701576338.26026.2962758728.86930.14428.84530.19131.52632.8526.908756479628.67223.54224.76925.9892720434.26735.7183715638.582169.31232.00010.08510.86511.65112.4431733.40934.80536.19137566188.2319.3908.9079.5911910.11720743410.85128.41231.41034.17039.9978.0348.6439.2609.88610.52011.59129.61532.67135.47936.78138.07639.36440.646218.89710.28313.24038.93240.28941.4019.54210.1961085611.5242210.98212.33814.04130.81333.92442.79611.68935.17236415376524163842.98013.09132.00733.1962314.84815.65916.47344.18145.55946.9282412.40113.84814.6112513.12034.38244.31411.1601180812.4613888515.37916.15116.92835.56336.74137.91641.92343.19544.46145.72246.97945.64246.9632612.19813.84417.29214.57315.30816.04716.79148.290496455099352.3365367240.11341.337271287918.11413.56514.25614.95318.93919.76820.5992848.27842557293013.12113.78749.58850.89217.70839.08740.25618.49343.77351.80563.16755.7586750559.34271.42066.76620.7072799122.16426.50934.76429.051376896369176.15424.433405029.70732.3577949040 10121007A 20770 00702 n0000 27001 0K

Given: Treatment Success (A) Failure (A) Total Success (B) 46 30 76 Failure (B) 15 25…

Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the critical value. Assume that the samples are dependent and were obtained randomly. Click here to view the contingency table Click here to view the table of critical values of the chi-square distribution, (a) Let p, represent the proportion of success for treatment A and p2 represent the proportion of success for treatment B. What are the null and alternative hypotheses? O B. Ho: P1 =P2 O A. Ho: P1 P2 H,: P, =P2 H,: P, >P2 Họ: P1 =P2 H4: P, P2 OD. Ho: P1 =P2 H,: P,

Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the critical value. Assume that the samples are dependent and were obtained randomly. Click here to view the contingency table Click here to view the table of critical values of the chi-square distribution, (a) Let p, represent the proportion of success for treatment A and p2 represent the proportion of success for treatment B. What are the null and alternative hypotheses? O B. Ho: P1 =P2 O A. Ho: P1 P2 H,: P, =P2 H,: P, >P2 Họ: P1 =P2 H4: P, P2 OD. Ho: P1 =P2 H,: P,

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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