HOLMES INSTITUTE FACULTY OF HIGHER EDUCATION HI6007 Group Assignment
Missy Walters owns a mail - order business specializing in clothing, linens, and furniture for children. She is considering offering her customers a discount on shipping charges for furniture based on the dollar - amount of the furniture order. Before Missy decides the discount policy, she needs a better understanding of the dollar - amount distribution of the furniture orders she receives.
Missy had an assistant ran domly select 50 recent orders that included furniture. The assistant recorded the value, to the nearest dollar, of the furniture portion of each order. The data collected is listed below (data set also provided in accompanying MS Excel file)
136 281 226 123 178 445 231 389 196 175
211 162 212 241 182 290 434 167 246 338
194 242 368 258 323 196 183 209 198 212
277 348 173 409 264 237 490 222 472 248
231 154 166 214 311 141 159 362 189 260
Shown below is a portion of a computer output for a regression analysis relating Y (demand) and X (unit price).
The following are the results from a completely randomized design consisting of 3 treatments.
Using α = .05, test to see if there is a significant difference among the means of the three populations. The sample sizes for the three treatments are equal.
In order to determine whether or not the number of mobile phones sold per day (y) is related to price (x 1 in $1,000), and the number of advertising spots (x 2 ), data were gathered for 7 days. Part of the Excel output is shown below.
MS Excel must be used to perform any calculations/graphical presentations as required in this assignment
Question 1
Below you are given the examination scores of 20 students (data set also provided in accompanying MS Excel file).
52 99 92 86 84
63 72 76 95 88
92 58 65 79 80
90 75 74 56 99
Question 2
Shown below is a portion of a computer output for a Regression analysis relating supply (Y in thousands of units) and unit price (X in thousands of dollars).
ANOVA df SS Regression 1 354.689 Residual 39 7035.262 Coefficients Standard Error Intercept 54.076 2.358 X 0.029 0.021
Question 3
Allied Corporation wants to increase the productivity of its line workers. Four different programs have been suggested to help increase productivity. Twenty employees, making up a sample, have been randomly assigned to one of the four programs and their output for a day's work has been recorded. You are given the results below (data set also provided in accompanying MS Excel file).
Program A Program B Program C Program D 150 150 185 175 130 120 220 150 120 135 190 120 180 160 180 130 145 110 175 175
Question 4
A company has recorded data on the weekly sales for its product (y), the unit price of the competitor's product (x1), and advertising expenditures (x2). The data resulting from a random sample of 7 weeks follows. Use Excel's Regression Tool to answer the following questions (data set also provided in accompanying MS Excel file).
Week Price Advertising Sales 1 .33 5 20 2 .25 2 14 3 .44 7 22 4 .40 9 21 5 .35 4 16 6 .39 8 19 7 .29 9 15
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