\f2-bedroom Toronto 265.66 2-bedroom Toronto 370.09 2-bedroom Toronto 379.31 2-bedroom Toronto 299.93 2-bedroom Toronto 277.30 2-bedroom Toronto 298.53 2-bedroom Toronto 290.22 2-bedroom Toronto 282.36 2-bedroom Toronto 215.88 3-bedroom Toronto 360.99 3-bedroom Toronto 433.41 3-bedroom Toronto 402.80 3-bedroom Toronto 432.45 3-bedroom Toronto 338.85 3-bedroom Toronto 289.35 3-bedroom Toronto 370.12 3-bedroom Toronto 357.06 3-bedroom Toronto 370.07 4-bedroom Toronto 452.35 4-bedroom Toronto 407.70 4-bedroom Toronto 336.70 4-bedroom Toronto 375.80 4-bedroom Toronto 386.38 4-bedroom Toronto 419.22 4-bedroom Toronto 525.27 4-bedroom Toronto 356.28 4-bedroom Toronto 351.762-bedroom London 219.16 2-bedroom London 272.94 2-bedroom London 254.60 2-bedroom London 276.84 2-bedroom London 258.08 2-bedroom London 298.33 2-bedroom London 273.84 2-bedroom London 188.17 2-bedroom London 302.51 3-bedroom London 334.46 3-bedroom London 205.39 3-bedroom London 329.45 3-bedroom London 379.03 3-bedroom London 388.49 3-bedroom London 340.54 3-bedroom London 325.65 3-bedroom London 297.92 3-bedroom London 364.53 4-bedroom London 390.08 4-bedroom London 381.91 4-bedroom London 374.20 4-bedroom London 324.30 4-bedroom London 330.98 4-bedroom London 391.65 4-bedroom London 350.69 4-bedroom London 349.00 4-bedroom London 477.20d) Calculate the Bonferroni margin of error for the confidence intervals based on all pairwise differences between the treatment means. Show your manual calculations and use an overall 95% confidence level. e) Using the calculated margin of error from part d) and the pairwise confidence interval approach, determine whether there is sufficient evidence (at the 5% significance level) of a difference in mean monthly utility bills between 2-bedroom houses in Ottawa and 2- bedroom houses in London.Question 2 - Utility Bills Supposed that. when comparing utility bills. a researcher was interested in determining whether residential utility bills differed among different cities in Canada. and also whether they differed depending on the number of bedrooms in a house. As part of the study, a random sample of households in different Canadian cities was selected, and their monthly utility bills and number of bedrooms were recorded The data is provided in the dataset Utility Bills