Record Number	Arrival Date	Requested Weekend	Quoted Time of Inventory Availability (# Weekends)
1	11/1/2011	11/5/2011	0
2	11/1/2011	11/5/2011	0
3	11/7/2011	11/12/2011	0
4	11/8/2011	11/12/2011	0
5	11/10/2011	11/12/2011	0
6	11/12/2011	11/19/2011	0
7	11/19/2011	11/26/2011	0
8	11/20/2011	11/26/2011	0
9	11/21/2011	11/26/2011	0
10	11/23/2011	11/26/2011	1
11	11/25/2011	11/26/2011	1
12	11/26/2011	12/3/2011	0
13	11/26/2011	12/3/2011	1
14	11/27/2011	12/3/2011	1
15*	12/1/2011	12/3/2011	1
16	12/2/2011	12/3/2011	1
17	12/5/2011	12/10/2011	1
18	12/7/2011	12/10/2011	1
19	12/7/2011	12/10/2011	1
20	12/9/2011	12/10/2011	2
21*	12/11/2011	12/17/2011	1
22	12/11/2011	12/17/2011	1
23	12/12/2011	12/17/2011	1
24	12/13/2011	12/17/2011	2
25	12/14/2011	12/17/2011	2
26	12/15/2011	12/17/2011	2
27	12/18/2011	12/24/2011	2
28*	12/19/2011	12/24/2011	2
29*	12/20/2011	12/24/2011	2
30*	12/21/2011	12/24/2011	2
31	12/21/2011	12/24/2011	2
32*	12/23/2011	12/24/2011	2
33*	12/24/2011	12/31/2011	1
34	12/24/2011	12/31/2011	1
35*	12/26/2011	12/31/2011	2
36*	12/26/2011	12/31/2011	2
37	12/27/2011	12/31/2011	2
38	12/29/2011	12/31/2011	2
39	12/29/2011	12/31/2011	2
40*	12/30/2011	12/31/2011	3
41*	12/30/2011	12/31/2011	3
42	1/1/2012	1/7/2012	2
43	1/1/2012	1/7/2012	2
44	1/3/2012	1/7/2012	2
45*	1/6/2012	1/14/2012	2
46	1/9/2012	1/14/2012	2
47	1/11/2012	1/14/2012	2
48*	1/12/2012	1/14/2012	2
49	1/13/2012	1/14/2012	2
50	1/16/2012	1/21/2012	2
51*	1/17/2012	1/21/2012	2
52*	1/26/2012	1/28/2012	1
53	1/28/2012	2/4/2012	0
54	1/31/2012	2/4/2012	0
55	2/1/2012	2/4/2012	1
56	2/5/2012	2/11/2012	0
57	2/6/2012	2/11/2012	0
58	2/7/2012	2/11/2012	1
59	2/9/2012	2/11/2012	1
60	2/9/2012	2/11/2012	1
61	2/15/2012	2/18/2012	1
62	2/15/2012	2/18/2012	1
63	2/19/2012	2/25/2012	0
64	2/20/2012	2/25/2012	1
65	2/21/2012	2/25/2012	1
66	2/23/2012	2/25/2012	1
67	2/24/2012	3/3/2012	1
68	2/25/2012	3/3/2012	1
69*	2/26/2012	3/3/2012	1
70	2/26/2012	3/3/2012	1
71	2/28/2012	3/3/2012	2
72*	2/29/2012	3/3/2012	2
73*	3/4/2012	3/10/2012	1
74	3/4/2012	3/10/2012	1
75	3/5/2012	3/10/2012	1
76	3/6/2012	3/10/2012	2
77	3/7/2012	3/10/2012	2
78*	3/7/2012	3/10/2012	2
79*	3/9/2012	3/17/2012	1
80*	3/11/2012	3/17/2012	1
81	3/16/2012	3/17/2012	1
82	3/16/2012	3/17/2012	2
83	3/17/2012	3/24/2012	1
84	3/17/2012	3/24/2012	1
85	3/19/2012	3/24/2012	2
86*	3/20/2012	3/24/2012	2
87	3/27/2012	3/31/2012	1
88	3/27/2012	3/31/2012	1
89	3/28/2012	3/31/2012	2
90	3/31/2012	4/7/2012	1
91	4/4/2012	4/7/2012	1
92	4/5/2012	4/7/2012	2
93	4/12/2012	4/14/2012	1
94	4/14/2012	4/21/2012	0
95	4/18/2012	4/21/2012	1
96	4/24/2012	4/28/2012	0
97	4/26/2012	4/28/2012	0

1) Exhibit 8 of the case indicates that 97 rental requests arrived over a 26 week span. Assuming that everyone rents a pair of skis for one weekend and that Salt Lake City has 3 pairs of rental skis, what is the utilization of those skis?

A. 1.24

B. .74

C. 1.14

D. .84

2) Exhibit 8 of the case indicates that 97 rental requests arrived over a 26 week span. Assuming that everyone rents a pair of skis for one weekend and that Salt Lake City has 4 pairs of rental skis, what is the utilization of those skis?

A. .93

B. .83

C. 1.13

D. .73

3) Exhibit 8 of the case indicates that 97 rental requests arrived over a 26 week span. Assume that everyone rents a pair of skis for one weekend and that Salt Lake City has 4 pairs of rental skis. Also assume no variation in rental times (i.e. the standard deviation of rental times is zero) and that inter-arrival times are exponentially distributed. How long, on average, do customers have to wait for a pair of skis?

A. 1.5 weeks

B. 1.25 weeks

C. 2 weeks

D. 1.75 weeks

4) Exhibit 8 of the case indicates that 97 rental requests arrived over a 26 week span. Assume that everyone rents a pair of skis for one weekend and that Salt Lake City has 5 pairs of rental skis. Also assume no variation in rental times (i.e. the standard deviation of rental times is zero) and that inter-arrival times are exponentially distributed. How long, on average, do customers have to wait for a pair of skis?

A. 1.19 weeks

B. .69 weeks

C. .19 weeks

D. .89 weeks