Monaghan’s pizza delivery service has randomly selected 8 weekdays during the past month and recorded orders for pizza at four different time periods per day: day time period 1 2 3 4 5 6 7 8 10: 00 a. m.–3: 00 p. m. 62 49 53 35 43 48 56 43 3: 00 p. m.–7: 00 p. m. 73 55 81 77 60 66 85 70 7: 00 p. m.–11: 00 p. m. 42 38 45 50 29 37 35 44 11: 00 p. m.–12: 00 a. m. 35 40 36 39 26 25 36 31 develop a seasonally adjusted forecasting model for daily pizza demand and forecast demand for each of the time periods for a single upcoming day.

This problem has been solved! see the answerthe 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? days 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 picture click here for the excel data filefill in the missing data. (round your p-value to 4 decimal places, mean values to 1 decimal place and other answers to 2group mean n std. dev variancesbudgets payables pricing total one factor anova source ss df ms f p-value treatment error total