The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments?

Budgets	Payables	Pricing
278	205	240
260	270	258
265	220	233
245	240	256
258	255	233
	217	242
	266	244
	239	249
	240
	228

(d) Perform Tukey multiple comparison tests. (Input the mean values within the input boxes of the first row and input boxes of the first column. Round your t-values and critical values to 2 decimal places and other answers to 1 decimal place.) Post hoc analysis for Factor 1: Tukey simultaneous comparison t-values (d.f. = 18) Hot (70 C) Warm (40 C) Cool (10 C) Hot (70' C) Warm (40 C) Cool (10' C) Critical values for experimentwise error rate. 0.05 0.01 Post hoc analysis for Factor 2: Tukey simultaneous comparison t-values (d.f. = 18) PVC3 PVC1 PVC2 PVC3 PVC1 PVC2 Critical values for experimentwise error rate: 0.05 0.01Days Worked Last Year by 23 Employees Department Days Worked Budgets (5 workers) 278 260 265 245 258 Payables (10 workers) 205 270 220 240 255 217 266 239 240 228 Pricing (8 workers) 240 258 233 256 233 242 244 249 Click here for the Excel Data File Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 2 decimal places.) n Standard Group Mean Deviation Variances Budgets Payables Pricing Total One-Factor ANOVA" header is missing Source SS df MS F p-value Treatment Error TotalBased on the given hypotheses, choose the correct option HOM1 = H 2 = M3 Hy: Not all the means are equal a = .05 O Reject the null hypothesis if Fcalc > 3.5 O Reject the null hypothesis if Fcalc 8.38 O Reject the null hypothesis if H