Question

Could you please help me with questions 1a-1b please? ( since i could only find the formula needed for 1a, if u aren't sure with 1b u can just do 1a but please dont reply "no enough data given " because i have a lil systemical problem with replying the comments)

* the first question was asked to complete the anova table ( table 9.1 in the picture ) by using the formulas ( in the pictures)

* I have the question sheets, formula sheets, ANOVA table, data for calculations, and F distribution table attached

* can you hand written the solutions for each calculation? ^^i have diffuculties reading the solutions in a typed form

* actuaclly I already work on it but i just want to make sure that my answers are right and understand how to solve each question in depth since this will be in my exam

Thankyou soo much <3 you save my life

gonna rate u perfect

1. You will need your ticker code (show your ticker code on your homework and include a printout of the data!) for stock prices for this question. Use your ticker code to obtain the closing prices for the following three time periods to obtain three data sets: March 2, 2018 to March 16, 2018 March 17, 2018 to March 31, 2018 April 1, 2018 to April 17, 2018 Data set A Data set E Data set C To ensure equal sample size per group use only the first 8 observations in each data set. Add 0.1 and 0.2 to each one of the closing prices in data sets B and C, respectively Imagine you are testing for the effects of two experimental drugs (data sets B and C) relative to a control group (Data set A) on a physiological variable. a) Conduct an ANOVA on the data set. Show all calculations, table of results, and state your conclusion. b) Use the Bonferroni-Holm (regardless of whether part "a" is significant or not) to examine all pairwise comparisons. Show all you calculations and state your conclusions (See next page for problem 2!) outline. Replace Shape Effects D Select Drawing Editing 8.3 Model II ANOVA General equations for calculating Sums of Squares SSTotal = 2 ij T2 T2 ni N SSTreat- STotal = SSTreat + SSError The ANOVA Table The sum of squares divided by the appropriate degrees of freedom generate mean squares that can be used to test hypotheses about means SSTreat MSTreatk-1 MSBlocksb-1 MSError = (k-1)(b-1) SSBlocks SSError These summary statistics usually are presented in an ANOVA Table, see Table 9.1. TABLE 9.1. The analysis of variance table for a randomized complete block design Source of variation Sum of squares Treatments Blocks Error Total df MS C.V. SSTreat SSBlocks SSError SSTotal Error SS (k - 1)(b - 1) kb-1 Data after conditions are applied (8 observations for each, 0.1 added to Data set B, and 0.2 added to Data set C) Data set A Data Set C Data set B Close Date 4/2/201861.240001 4/3/201862.780002 /4/2018 64.479999 4/5/2018 64.860004 4/6/2018 63.580001 4/9/201863.510001 Date Close Date Close 3/2/2018 67.459999 3/19/2018 63.730001 3/5/2018 68.309998 3/20/2018 63.039999 3/6/2018 67.650002 3/21/2018 62.519998 3/7/2018 67.510002 3/22/2018 61.890001 3/8/2018 68.360001 3/23/2018 60.960001 3/9/2018 69.269997 3/26/2018 61.699998 3/12/2018 69.010002 3/27/2018 60.699998 4/10/2018 64.170001 3/13/2018 68.25 3/28/2018 62.809999 4/11/2018 63.27 SECTION C.7: Cumulative F Distribution P(F)S.95 1 23 456710 1215 1 161.4 199.5 215.7 224.6 2502 234.0 8 238.9 2405 241.9 243.9 245.9 2 18.51 19.00 19.16 1925 19.30 19.33 19.35 19.37 19.38 19.40 19.41 19.43 3 10.13 9.55 9.28 9.12 9.01 8.94 8.89 8.85 8.81 8.798.74 8.70 4 7.71 6.94 6.59 6.39 6.26 6.16 6.09 6.04 6.00 5.965.91 5.86 5 6.61 5.79 5.41 5.195.05 4.95 488 482 477 4.74468 62 6 5.99 5.14 4.76 53 4.39 4.28 421 4.15 4.10 4.06 4.00 3.94 7 559 4.74 4.35 .12 397 387 379 373 368 3.643.57 3.51 8 5.32 4.46 4.07 3.843.69 358 3.503.44 3.39 3.35 328 3.22 5.12 426 3.86 3.63 3.483.37 3.29 3.23 3.183.14 3.07 3.01 0 4.96 4.10 3.71 3.48 3.33 322 314 3.07 322.98 291 2.85 11 484 3.98 3.59 3.36 3.20 9 3.01 2.95 2.902.85 2.79 2.72 24.75 3.89 3.49 3.26 311 3.00 2.91 2.85 280 2.75 2.69 2.62 134.67 3.81 3.41 3.18 3.03 2.92 283 277 2.71 267 2.60 2.53 14 4.60 3.74 3.34 3.11 2.96 2.85 2.76 2.70 2.652.60 253 2.46 15 4.54 3.68 3.29 3.06 2.90 2.79 2.71 264 259 254 2.48 2.40 164.49 3.63 324 3.01 285 2.74 266 2.59 2.54 2.49 2.42 2.35 17 4.45 3.59 3.20 2.96 2.81 2.70 2.61 2.55 249 2.45 2.38 2.31 18 4.41 3.55 3.16 2.93 2.77 2.66 2.58 2.51 246 241 2.34 2.27 19 4.38 3.52 3.13 2.90 2.74 2.63 254 248 242 238 2.31 2.23 20 4.35 3.49 3.10 2.87 2.71 260 251 245 2.39 2.35 228 2.20 21 4.32 3.47 3.07 2.84 2.68 257 2.49 242 2.37 2.32 2.25 2.18 224.30 3.44 3.05 2.82 266 255 2.46 240 2.34 2.30 2.23 2.15 234.28 3.42 3.03 2.80 264 253 2.44 237 2.32 2.27 2.20 2.13 24 4.26 3.40 3.01 2.78 262251 242 2.36 2.30 225 2.18 2.11 254.4 3.39 2.99 276 260 249 240 2.34 228 224 2.16 2.09 264.23 3.37 2.98 2.74 259 247 2.39 232 2 222 215 2.07 74.21 3.35 2.96 2.73 257 246 2.37 231 2.25 2.20 2.13 2.06 28 420 3.34 2.95 2.71 256 245 2.36 229 2.24 2.19 2.12 2.04 24.18 3.33 2.93 2.70 2.55 243 2.35 2.28 222 218 2.10 2.03 0 4.17 3.32 2.92 2.69 253 242 233 227 2.21 2.16 2.09 2.01 4.08 3.23 2.84 2.61 245 234 225 2.18 2.12 2.08 2.00 1.92 0 4.03 3.18 2.79 2.56 2.40 229 220 213 2.07 2.03 1.951.87 60 4.00 3.15 2.76 253 237 225 2.17 2.10 2.04 1.99 192 1.84 0 3.98 3.13 2.74 2.50 2.35 223 2.14 207 2.02 1.97 1891.81 0 3.96 3.11 2.72 2.49 2.33 221 213 2.06 2.00 1.95 1.88 1.79 901 3.95 3.10 2.71 2.47 232 2.20 2.11 2.04 1.99 194 i36 L78 100 3.94 3.09 2.70 246 23 219 210 2.03 197 193 1.85 1.77 120 3.92 3.07 2.68 245 229 218 209 2.02 196 191 1.83 1.75 50 3.90 3.06 266 243 227 216 207 2.00 194 1.89 182 1.73 oo 3.843.00 260 237 221 210 2.01 194 188 183 1.75 1.67

Answer 1

24 63.27 anova aov fy-data sets,data-data) anova Call: aov (formula = y ~ data. sets, data = data) Terms data. sets Residuals Sum of Sqares 162.46322 19.75103 Deg. of Freedom2 21 Residual standard error: 0.9698067 Estimated effects may be unbalanced data.sets Residuals 21 19.750 94 Signif. codes: 00.001 0.010.0so. 1

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