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Q1 The table below indicate the norm for students grades in MGSC 301. Grade Excellent Very Good Good Accepted Fail Proportion of Students 0.4 0.3

Q1
The table below indicate the norm for students grades in MGSC 301.
Grade Excellent Very Good Good Accepted Fail
Proportion of Students 0.4 0.3 0.15 0.1 0.05
Q1
The new cohort of 75 students in MGSC 301 indicated the following results:
Grade Excellent Very Good Good Accepted Fail
Number of Students 31 23 12 7 2
Using p = .05, does the actual rating of the new cohort deviate significantly
from the norm in MGSC 301?
Q2 6 Marks Production Methods
A production manager is comparing between three production methods. A B C
The productivity (number of units produced per day) of the three production methods for the last 25 days 45 39 43
is presented in the table titled "Production Methods." 42 37 41
At the = .05 level of significance, test whether the means for the three production methods are equal. 78 62 66
56 47 51
45 39 43
71 57 61
52 44 48
59 49 53
52 44 48
48 41 45
81 64 68
76 61 65
65 53 57
63 52 56
52 44 48
41 36 40
47 40 44
58 48 52
69 56 60
95 74 78
62 51 55
51 43 47
42 37 41
53 45 48
74 59 63
Q3 12 Marks Age Weight
A researcher is interested in determining if age predicts weight or not. 54 65
The table to the right indicate the age and weights of the people (14) in the sample. 62 92
80 82
25 74
a) Run simple regression analysis using Excel. 2 Mark 28 76
Note: use 95% confidence level. 29 71
62 79
b) Is age a significant determinant of weight? Explain. 3 Marks 64 85
47 82
c) What is amount of variation in weight that is explained by age? Explain. 4 Marks 49 62
52 64
d) What is the expected weight of a person who is 56 years old? 3 Marks 35 54
36 73
91 83

Q4 12 Marks ParkSpend
The "Multinational Parks" is interested in determining the variables that influence the amount of money families spend at their parks. Spend ($) Number of Family members Distance from the Parks (KM)
The "ParkSpend" table to the right indicate the amount spent per family, the number of family members, and the distance from the park families live. 38.39 4 20
31.04 5 34
a) Run regression analysis using Excel to determine the variable(s) that significantly influence the amount of money families spend at the parks. 51.45 6 11
Note: use a 95% confidence level. 2 Marks 107.19 3 61
144.24 3 119
b) Which variable(s) significantly affect(s) spending at parks? Explain. 2 Marks 72.54 3 28
36.13 2 41
c) What is the amount of variation that the number of family members and distance from the parks? Explain. 2 Marks 100.09 6 85
151.96 6 148
d) Is the regression model significant? Explain. 2 Marks 82.3 6 13
201.18 7 134
e) Based on the Excel output, what is the regression equation? 2 Marks 91.74 5 70
56.66 4 4
f) Based on the regression equiation, estimate the amount of spending a family of 6 that lives 28 kilometres from the parks is expected to spend. 56.69 1 50
Show your work. 2 Marks 19.9 3 59
99.32 5 34
62.82 7 28
25.74 3 5
94.84 5 43
132.31 4 132
86.52 4 96
25.33 4 20
17.2 7 9
158.95 8 108
64.97 4 38
152.15 7 73
130.47 2 143
161.04 7 107
27.41 6 9
165.2 7 130
13.15 4 24
75 2 3
50.7 1 82
64.63 1 40
44.94 4 6
93.02 6 59
45.62 4 42
84.72 7 26
53.52 8 14
169.76 7 134
62.07 7 45
146.18 3 144
130.92 1 119
64.05 5 44
81.57 1 85
66.42 4 85
80.26 1 136
51.85 3 39
138.65 2 141
150.89 1 118
55 7 8
26.38 5 11
113.5 5 81
85.86 3 119
192.3 8 99
85.54 1 38
26.93 1 27
97.77 5 68
107.21 4 62
44.77 5 7
175.82 5 147
114.88 3 65
80.97 1 87
155.53 4 145
134.27 6 90
179.69 6 136
30.9 3 1
18.62 3 27
118.37 3 72
106.52 6 55
88.75 8 70
23.19 4 40
126.24 4 65
91.22 2 42
101.2 2 38
29.86 1 88
120.87 8 64
63.94 5 23
100.04 5 89
41.42 1 100
167.42 8 89
21.04 1 28
4.59 2 7
115.66 1 136
71.57 7 53
69.12 6 18
143.79 5 136
183.82 2 141
150.98 8 145
105.84 6 21
139.27 6 104
23.91 2 8
154.14 4 111
139.32 7 72
77.43 3 122
87.18 2 76
141.37 1 138
170.74 7 103
102.15 3 99
7.05 1 17
118.59 4 63
134.19 8 48
127 4 103
70.75 1 133
53.68 4 49
156.7 2 148
61.45 1 47
67.71 5 21
75.53 5 49
58.12 4 21
83.06 8 23
99.45 6 85
54 1 18
175.77 4 116
89.18 5 40
84.84 1 106
42.82 6 55
82.1 8 40
101.23 4 65
161.93 5 142
131.82 6 62
110.29 3 141
42.37 4 16
135.65 3 118
39.56 4 11

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