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# Sheet1 Data set for Question 1: Furniture order (\$) 136 211 194 277 231 281 162 242 348 154 226 212 368 173 166 123 241 258 409 214 178 182 323 264 311 445 290 196 237 141 231 434 183 490 159 389 167...

Sheet1
Data set for Question 1: Furniture order (\$)
136
211
194
277
231
281
162
242
348
154
226
212
368
173
166
123
241
258
409
214
178
182
323
264
311
445
290
196
237
141
231
434
183
490
159
389
167
209
222
362
196
246
198
472
189
175
338
212
248
260
Sheet2
Sheet3

HI6007 T12018 Group Assignment Page 1

HOLMES INSTITUTE
FACULTY OF HIGHER EDUCATION
HI6007 Group Assignment
Due end of week 11
WORTH 30%
(Maximum 5 students in the group)

MS Excel must be used for performing calculation/graphical presentation as required
in this assignment

Question XXXXXXXXXXmarks

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

Missy had an assistant randomly 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).

XXXXXXXXXX XXXXXXXXXX
XXXXXXXXXX XXXXXXXXXX
XXXXXXXXXX XXXXXXXXXX
XXXXXXXXXX XXXXXXXXXX
XXXXXXXXXX XXXXXXXXXX

a. Prepare a frequency distribution, relative frequency distribution, and percent
frequency distribution for the data set using a class width of \$5 XXXXXXXXXX3 marks)

. Construct a histogram showing the percent frequency distribution of the furniture-
order values in the sample. Comment on the shape of the distribution XXXXXXXXXXmarks)

c. Given the shape of the distribution in part b, what measure of location would be most
appropriate for this data set? XXXXXXXXXXmarks)

HI6007 T12018 Group Assignment Page 2

Question 2 XXXXXXXXXX6 marks

Shown below is a portion of a computer output for a regression analysis relating Y (demand)
and X (unit price).

ANOVA
df SS
Regression XXXXXXXXXX
Residual XXXXXXXXXX
Total XXXXXXXXXX

Coefficients Standard E
or
Intercept XXXXXXXXXX
X XXXXXXXXXX

a. Determine whether or not demand and unit price are related. Use Î± = 0.05.
XXXXXXXXXX2 marks)
. Compute the coefficient of determination and fully interpret its meaning.
Be very specific. XXXXXXXXXX2 marks)
c. Compute the coefficient of co
elation and explain the relationship between
demand and unit price. XXXXXXXXXX2 marks)

Question 3 XXXXXXXXXX6 marks

The following are the results from a completely randomized design consisting of 3
treatments.

Source of Variation
Sum of
Squares
Degrees of
Freedom
Mean
Square

F
Between Treatments 390.58
Within Treatments (E
or XXXXXXXXXX
Total XXXXXXXXXX

Using Î± = .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.

HI6007 T12018 Group Assignment Page 3

Question XXXXXXXXXXmarks

In order to determine whether or not the number of mobile phones sold per day (y) is related
to price (x1 in \$1,000), and the number of advertising spots (x2), data were gathered for 7
days. Part of the Excel output is shown below.

ANOVA
df SS MS F
Regression XXXXXXXXXX
Residual XXXXXXXXXX

Coefficients Standard E
or
Intercept 0.8051
x XXXXXXXXXX
x XXXXXXXXXX

a.

a. Develop an estimated regression equation relating y to x1 and x2 XXXXXXXXXX2 marks)
b. At Î± = 0.05, test to determine if the estimated equation developed in Part a represents
a significant relationship between all the independent variables and the dependent variable.
Answered Same Day May 22, 2020 HI6007

## Solution

Ashish answered on May 24 2020
Student Name:
Course Name:
Professor Name:
College Name:
Solution-1
Furniture Orde
Frequency
Relative Frequency
Percent Frequency
100-149
3
0.06
6
150-199
15
0.3
30
200-249
14
0.28
28
250-299
6
0.12
12
300-349
4
0.08
8
350-399
3
0.06
6
400-449
3
0.06
6
450-499
2
0.04
4
Order Value
Frequency
100-149
6
150-199
30
200-249
28
250-299
12
300-349
8
350-399
6
400-449
6
450-499
4
Furniture Orde
Frequency
Cumulative Frequency
Cumulative Percent Frequency
100-149
3
3
6
150-199
15
18
36
200-249
14
32
64
250-299
6
38
76
300-349
4
42
84
350-399
3
45
90
400-449
3
48
96
450-499
2
50
100
Explanation:
The order value between the ranges 150-199 is provide most appropriate measure of location for this data set.
Interpretation:
The Frequency is related to number of occu
ences of every sample point of the event, and distribution of frequency related to graphical representation of sample points and their co
esponding frequencies. Visual presentations for instance frequency distribution tables or graphs help in displaying the distribution of data. It also helps in data interpretation in the given field with respect to the relationship of the items in the data set. It helps give the reader an impression of the features and characteristics of the items in the data set and their co
espondence.
An example is the central tendency and dispersion of data points that show data sets that are closely related to these that are not and the distribution in the population these visual representations of data analysis are essential and effective in communicating a story of the information to the reader. It gives a
ief overview or summary of the data conveyed. It also helps in interpretation and as evidence for the facts given in the explanation.
A Normal distribution with skewed is the one with tail of the distribution considerably longer or drawn out relative to the other tail. A "skewed right" distribution is one in which the tail is on the right side. The distribution of the sample mean is normal for ALL distributions, regardless of the shape. The Size of your sample will determine how concentrated about the mean your...
SOLUTION.PDF