In: Physics
Consider a small sized company that is interested in setting up
a network for their business. The company has a total of 350
employees: 250 employees are located on five floors of the HQ
building based in Chicago, and the other 100 employees are located
on two floors in a building in Seattle. The two sites are connected
using a WAN link. Each employee has a desktop and an IP phone on
their desk. In each office (building), there are four servers, the
first for engineering development, the second for manufacturing,
the third for the company’s external website, and the fourth for
management, sales, marketing, and personnel databases. The servers
in the Seattle office are backup servers for the servers in the
Chicago HQ; if any server fails in HQ, its functionality fails over
to the corresponding server in Seattle. There should be three LANs,
one for the engineering department, one for manufacturing
department, and one for marketing and administration. The
engineering department has 200 employees in total (150 in Chicago,
50 in Seattle), and its LAN hosts the engineering development
server. The manufacturing department has 100 employees in total (70
HQ, 30 Seattle), and its LAN hosts the manufacturing server. The
last LAN hosts the remaining two servers, and has 30 employees in
Chicago and 20 employees in Seattle. All these LANs are wired LANs.
Additionally, the Chicago office has a guest WLAN that can serve up
to 63 connections, while the Seattle office has a guest WLAN which
serves up to 30 connections. The company has been assigned the IP
address range 216.244.168.0 to 216.244.175.255. The IP addresses
216.244.175.254 and 216.244.175.253 are reserved for the two end
points of the WAN link.
1. Describe the networking requirements for this company as a
Network Administrator.
2. Design a network and specify the IP address range for each
LAN/WLAN.
3. Suppose an engineer in HQ opens a telnet session with the
engineering development server (in HQ). Describe in detail the
traffic flow.
4. Suppose an engineer in HQ pings the manufacturing server in the
manufacturing LAN in HQ. Describe in detail the traffic flow.
5. Suppose an engineer in HQ pings the manufacturing server in the
manufacturing LAN in Seattle. Describe in detail the traffic
flow.
6. Write down the routing table of the router to which the
engineering LAN is connected to in HQ. The routing information in
this table should ensure network-wide IP connectivity between any
pair of hosts. The table should include these fields: destination
network address, netmask, next hop address/outgoing interface, hop
count to destination (including the destination subnet).
With double-digit annual percentage increases in the cost of health insurance, more and more workers are likely to lack health insurance coverage (USA Today, January 23, 2004). The following sample data provide a comparison of workers with and without health insurance coverage for small, medium, and large companies. For the purposes of this study, small companies are companies that have fewer than 100 employees. Medium companies have 100 to 999 employees, and large companies have 1000 or more employees. Sample data are reported for 50 employees of small companies, 75 employees of medium companies, and 100 employees of large companies.
Compute the value of the X 2 test statistic (to 2 decimals): 3.91 .
The p-value is 0.1413. What is your conclusion?
Do not reject the null hypothesis because P=0.1413 > 0.05 level of significance.
- Select your answer –
Conclude health insurance coverage is not independent of the size of the company
Cannot reject the assumption that health insurance coverage and size of the company are independent
b) The USA Today article indicated employees of small companies are more likely to lack health insurance coverage. Calculate the percentages of employees without health insurance based on company size (to the nearest whole number).
Small= 20%
Medium= 9 %
Large= 10%
c) Based on the percentages calculated above, what can you conclude?
Based on company size percentages, employees of small companies are more likely to lack health insurance coverage.
Chi-Square Test |
||||||
Observed Frequencies |
||||||
Column variable |
Calculations |
|||||
Size of company |
Yes |
No |
Total |
fo-fe |
||
Small |
40 |
10 |
50 |
-4 |
4 |
|
Medium |
68 |
7 |
75 |
2 |
-2 |
|
Large |
90 |
10 |
100 |
2 |
-2 |
|
Total |
198 |
27 |
225 |
|||
Expected Frequencies |
||||||
Column variable |
||||||
Size of company |
Yes |
No |
Total |
(fo-fe)^2/fe |
||
Small |
44 |
6 |
50 |
0.3636 |
2.6667 |
|
Medium |
66 |
9 |
75 |
0.0606 |
0.4444 |
|
Large |
88 |
12 |
100 |
0.0455 |
0.3333 |
|
Total |
198 |
27 |
225 |
|||
Data |
||||||
Level of Significance |
0.05 |
|||||
Number of Rows |
3 |
|||||
Number of Columns |
2 |
|||||
Degrees of Freedom |
2 |
|||||
Results |
||||||
Critical Value |
5.991465 |
|||||
Chi-Square Test Statistic |
3.914141 |
|||||
p-Value |
0.1413 |
|||||
Do not reject the null hypothesis |