2. To raise awareness of its capabilities, FedEx developed a sales promotion that was sent to selected offices. To assess the possible benefit of the promotion, FedEx pulled the shipping records for a random sample of 50 offices that received the promotion and another random sample of 75 that did not and collected data on the number of mailings. They want to see if those who received the sales promotions shipped more mailings. The complete set of results is provided below (promotions columns). a. State the null and alternate hypotheses. b. Run the test. Paste the test output and state your decision (minitab - Stat-paired T-Test and CI). c. What is the best estimate for the population difference in means for the number of mailings between offices with the promotion and offices without the promotion? (Be 90% confident in your estimate for the confidence interval). d. Interpret the confidence interval in part c. e. What is the margin of error associated with 90% confidence interval?
Promotion Mailings
Promotions_NO 15
Promotions_NO 49
Promotions_NO 42
Promotions_NO 22
Promotions_NO 26
Promotions_NO 35
Promotions_NO 38
Promotions_NO 13
Promotions_NO 35
Promotions_NO 14
Promotions_NO 5
Promotions_NO 64
Promotions_NO 27
Promotions_NO 57
Promotions_NO 50
Promotions_NO 43
Promotions_NO 32
Promotions_NO 39
Promotions_NO 13
Promotions_NO 19
Promotions_NO 47
Promotions_NO 45
Promotions_NO 38
Promotions_NO 59
Promotions_NO 35
Promotions_NO 8
Promotions_NO 10
Promotions_NO 58
Promotions_NO 44
Promotions_NO 9
Promotions_NO 10
Promotions_NO 0
Promotions_NO 42
Promotions_NO 37
Promotions_NO 23
Promotions_NO 12
Promotions_NO 54
Promotions_NO 41
Promotions_NO 36
Promotions_NO 43
Promotions_NO 45
Promotions_NO 18
Promotions_NO 65
Promotions_NO 10
Promotions_NO 17
Promotions_NO 59
Promotions_NO 26
Promotions_NO 18
Promotions_NO 8
Promotions_NO 14
Promotions_NO 74
Promotions_NO 29
Promotions_NO 60
Promotions_NO 19
Promotions_NO 30
Promotions_NO 29
Promotions_NO 12
Promotions_NO 0
Promotions_NO 20
Promotions_NO 31
Promotions_NO 13
Promotions_NO 5
Promotions_NO 7
Promotions_NO 42
Promotions_NO 36
Promotions_NO 9
Promotions_NO 23
Promotions_NO 70
Promotions_NO 28
Promotions_NO 25
Promotions_NO 26
Promotions_NO 24
Promotions_NO 50
Promotions_NO 7
Promotions_NO 0
Promotions_YES 38
Promotions_YES 74
Promotions_YES 18
Promotions_YES 65
Promotions_YES 60
Promotions_YES 51
Promotions_YES 71
Promotions_YES 47
Promotions_YES 29
Promotions_YES 39
Promotions_YES 45
Promotions_YES 36
Promotions_YES 57
Promotions_YES 36
Promotions_YES 12
Promotions_YES 20
Promotions_YES 23
Promotions_YES 79
Promotions_YES 16
Promotions_YES 4
Promotions_YES 62
Promotions_YES 37
Promotions_YES 2
Promotions_YES 23
Promotions_YES 6
Promotions_YES 10
Promotions_YES 28
Promotions_YES 65
Promotions_YES 25
Promotions_YES 86
Promotions_YES 27
Promotions_YES 58
Promotions_YES 33
Promotions_YES 54
Promotions_YES 40
Promotions_YES 92
Promotions_YES 71
Promotions_YES 0
Promotions_YES 77
Promotions_YES 60
Promotions_YES 56
Promotions_YES 38
Promotions_YES 16
Promotions_YES 89
Promotions_YES 62
Promotions_YES 9
Promotions_YES 42
Promotions_YES 73
Promotions_YES 49
Promotions_YES 14
In: Statistics and Probability
A global manufacturing company has hired a supply chain management consulting company to review its supply chain. The consulting company has recommened the manufacturer to conduct periodic review of its logistics network design and optimize its network of warehouses.
(i) Discuss why the manufacturer should periodically review its logistics network design.
(ii) Discuss the advantages of having a small number of centrally located warehouses and having a large number of warehouses closer to the customers.
In: Operations Management
2. List and explain the points of financial impact on a company if it raises the credit standards required of its customers who utilized trade credit offered by the
company.
In: Finance
How to do survival analysis in excel with this data
Life expectancy of males in years from 2005 to 2015
| Country | 2005, LE-M (years) | 2015, LE-M (years) |
| Afghanistan | 55.8 | 61.1 |
| Albania | 72.3 | 75.6 |
| Algeria | 70.1 | 74.1 |
| Angola | 47.5 | 57.4 |
| Antigua and Barbuda | 71.5 | 73.3 |
| Argentina | 70.6 | 72.2 |
| Armenia | 69.1 | 70.6 |
| Aruba | 71.5 | 72.9 |
| Australia | 77.8 | 80.2 |
| Austria | 75.9 | 78.4 |
| Azerbaijan | 64.6 | 68.6 |
| Bahamas | 70 | 72 |
| Bahrain | 74.2 | 75.6 |
| Bangladesh | 66.2 | 69.8 |
| Barbados | 71.4 | 72.9 |
| Belarus | 62.3 | 66.5 |
| Belgium | 75.3 | 78 |
| Belize | 65.7 | 67.2 |
| Benin | 54.6 | 58.5 |
| Bhutan | 62.7 | 68.6 |
| Bolivia (Plurin. State of) | 60.1 | 65.3 |
| Bosnia and Herzegovina | 72 | 73.7 |
| Botswana | 47.3 | 59.8 |
| Brazil | 67.3 | 71 |
| Brunei Darussalam | 74.2 | 75.1 |
| Bulgaria | 68.8 | 70.8 |
| Burkina Faso | 50.5 | 58 |
| Burundi | 50.3 | 54.2 |
| Cabo Verde | 69.5 | 70.1 |
| Cambodia | 58.5 | 65.5 |
| Cameroon | 50.6 | 55.1 |
| Canada | 77.2 | 79.7 |
| Central African Republic | 42.5 | 47.8 |
| Chad | 46.8 | 50.5 |
| Channel Islands | 76 | 78.7 |
| Chile | 74.3 | 76.2 |
| China | 71.7 | 74.2 |
| China, Hong Kong SAR | 78.5 | 80.5 |
| China, Macao SAR | 78.2 | 80.3 |
| Colombia | 68 | 70.2 |
| Comoros | 58 | 61.2 |
| Congo | 51.1 | 61 |
| Costa Rica | 75.5 | 76.7 |
| Côte d'Ivoire | 45.9 | 50.4 |
| Croatia | 71.4 | 73.6 |
| Cuba | 75.3 | 77.1 |
| Curaçao | 71.2 | 74.5 |
| Cyprus | 76.3 | 77.7 |
| Czechia | 72.2 | 75.1 |
| Dem. People's Rep. Korea | 64.2 | 67.2 |
| Dem. Rep. of the Congo | 50.4 | 56.7 |
| Denmark | 75 | 78.1 |
| Djibouti | 55.9 | 60 |
| Dominican Republic | 68.1 | 70.2 |
| Ecuador | 70.7 | 72.8 |
| Egypt | 66.7 | 68.7 |
| El Salvador | 65 | 67.9 |
| Equatorial Guinea | 52.3 | 55.5 |
| Eritrea | 54.7 | 61.4 |
| Estonia | 66 | 71.9 |
| Ethiopia | 52.3 | 61.9 |
| Fiji | 65.5 | 66.9 |
| Finland | 74.9 | 77.7 |
| France | 75.8 | 78.8 |
| French Guiana | 72.8 | 76.1 |
| French Polynesia | 70.7 | 74 |
| Gabon | 58.3 | 63.1 |
| Gambia | 55.9 | 59.1 |
| Georgia | 68.9 | 68.5 |
| Germany | 75.6 | 77.9 |
| Ghana | 56.7 | 60.7 |
| Greece | 76.4 | 78 |
| Grenada | 68.5 | 70.8 |
| Guadeloupe | 74.3 | 76.8 |
| Guam | 73.6 | 76.4 |
| Guatemala | 65.7 | 69.2 |
| Guinea | 51.3 | 57.5 |
| Guinea-Bissau | 52 | 54.3 |
| Guyana | 62.6 | 64 |
| Haiti | 56.5 | 60.2 |
| Honduras | 68.6 | 70.4 |
| Hungary | 68.3 | 71.7 |
| Iceland | 78.8 | 80.6 |
| India | 62.7 | 66.2 |
| Indonesia | 64.9 | 66.6 |
| Iran (Islamic Republic of) | 70 | 74 |
| Iraq | 66.9 | 67 |
| Ireland | 75.3 | 78.7 |
| Israel | 77.4 | 80 |
| Italy | 77.3 | 79.9 |
| Jamaica | 70.1 | 73.1 |
| Japan | 78.3 | 80 |
| Jordan | 70.8 | 72.2 |
| Kazakhstan | 59.1 | 64.3 |
| Kenya | 51 | 63 |
| Kiribati | 61.6 | 62.4 |
| Kuwait | 72.6 | 73.5 |
| Kyrgyzstan | 63 | 66.4 |
| Lao People's Dem. Rep. | 59 | 63.9 |
| Latvia | 65.2 | 68.8 |
| Lebanon | 73.9 | 77.3 |
| Lesotho | 44.7 | 50.1 |
| Liberia | 51.6 | 59.8 |
| Libya | 69.1 | 68.8 |
| Lithuania | 65.7 | 68.5 |
| Luxembourg | 75.1 | 78.8 |
| Madagascar | 58.8 | 63 |
| Malawi | 45.7 | 58.2 |
| Malaysia | 71.2 | 72.6 |
| Maldives | 71.1 | 75.4 |
| Mali | 49.3 | 55.6 |
| Malta | 76.8 | 78.6 |
| Martinique | 75.5 | 77.8 |
| Mauritania | 58.6 | 61.2 |
| Mauritius | 68.9 | 70.7 |
| Mayotte | 73 | 76 |
| Mexico | 72.4 | 74 |
| Micronesia (Fed. States of) | 66.9 | 67.7 |
| Mongolia | 60.8 | 64.5 |
| Montenegro | 70.6 | 74 |
| Morocco | 68.5 | 73.7 |
| Mozambique | 47.9 | 54 |
| Myanmar | 60.9 | 63.7 |
| Namibia | 51.7 | 59.1 |
| Nepal | 62.9 | 67.4 |
| Netherlands | 76.2 | 79.4 |
| New Caledonia | 71.3 | 73.7 |
| New Zealand | 76.8 | 79.5 |
| Nicaragua | 68 | 71.4 |
| Niger | 50.8 | 57.6 |
| Nigeria | 46.1 | 51.2 |
| Norway | 76.8 | 79.5 |
| Oman | 71.4 | 74.5 |
| Pakistan | 62.5 | 65 |
| Palau | 66.3 | 68.1 |
| Panama | 73 | 74.3 |
| Papua New Guinea | 60.3 | 62.6 |
| Paraguay | 68.7 | 70.7 |
| Peru | 69 | 71.5 |
| Philippines | 64.4 | 65.4 |
| Poland | 70.4 | 72.9 |
| Portugal | 74.1 | 77.3 |
| Puerto Rico | 72.7 | 75.2 |
| Qatar | 75.6 | 76.9 |
| Republic of Korea | 73.6 | 77.9 |
| Republic of Moldova | 63.6 | 66.7 |
| Réunion | 73 | 76 |
| Romania | 67.9 | 71.4 |
| Russian Federation | 58.6 | 64.7 |
| Rwanda | 49.6 | 63.1 |
| Saint Lucia | 70.1 | 72.2 |
| Saint Vincent & Grenadines | 68.3 | 70.7 |
| Samoa | 67.2 | 71.1 |
| Sao Tome and Principe | 62 | 64.1 |
| Saudi Arabia | 71.5 | 72.7 |
| Senegal | 57.3 | 63.8 |
| Serbia | 69.4 | 71.8 |
| Seychelles | 67.9 | 68.7 |
| Sierra Leone | 40.1 | 49.7 |
| Singapore | 76.7 | 80.1 |
| Slovakia | 69.8 | 72.7 |
| Slovenia | 72.8 | 77.3 |
| Solomon Islands | 63.5 | 68.3 |
| Somalia | 50 | 53.3 |
| South Africa | 51.2 | 56.1 |
| South Sudan | 49.1 | 54.1 |
| Spain | 76.5 | 79.6 |
| Sri Lanka | 69.6 | 71.2 |
| State of Palestine | 69.5 | 71.1 |
| Sudan | 57.5 | 62.1 |
| Suriname | 64.8 | 67.8 |
| Swaziland | 44.2 | 51.6 |
| Sweden | 77.9 | 80 |
| Switzerland | 77.7 | 80.5 |
| Syrian Arab Republic | 71.4 | 64.4 |
| Tajikistan | 63.6 | 67.7 |
| TFYR of Macedonia | 71.3 | 73.2 |
| Thailand | 67.7 | 70.8 |
| Timor-Leste | 60 | 66.1 |
| Togo | 53 | 58.3 |
| Tonga | 68.8 | 69.6 |
| Trinidad and Tobago | 65.1 | 66.9 |
| Tunisia | 71.4 | 73 |
| Turkey | 68 | 71.5 |
| Turkmenistan | 60.3 | 63.9 |
| Uganda | 47.8 | 56.5 |
| Ukraine | 61.9 | 66.1 |
| United Arab Emirates | 74.1 | 76 |
| United Kingdom | 76.1 | 79 |
| United Rep. of Tanzania | 52 | 60.8 |
| United States of America | 74.5 | 76.5 |
| United States Virgin Islands | 74.9 | 76.7 |
| Uruguay | 71.6 | 73.3 |
| Uzbekistan | 64.5 | 68.1 |
| Vanuatu | 66.7 | 69.4 |
| Venezuela (Boliv. Rep. of) | 68.8 | 69.9 |
| Viet Nam | 68.9 | 70.7 |
| Western Sahara | 62.3 | 66.9 |
| Yemen | 59.7 | 62.8 |
| Zambia | 45.3 | 57.5 |
| Zimbabwe | 42.7 | 56.1 |
In: Statistics and Probability
Discuss the concept of Economic Order Quantity? If a company has too many items in inventory, how would this affect its cash flow. What are some of the ways you would maintain an efficient inventory without running out of items for your customers?
In: Accounting
In: Accounting
Why must amounts received in advance from customers be deferred?
a. The customer may not pay the entire balance due
b. The company receiving payment has not earned the amount
c. The customer has a right of return
d. All of the above are reasons to defer
In: Finance
Imagine you are working for a company that sells teleconferencing equipment. Draft a value proposition (list at least ten) for selling your equipment to a sales manager who has ten salespeople traveling two weeks a month to visit customers all over the country.
In: Operations Management
Many European governments are reluctant to allow online betting in an attempt to protect their national gambling businesses. A recent study found that seven countries out of the 27 in the European Union banned online gambling. Of the other 20 only 13 have opened their markets to competition; in the rest gambling is dominated by monopolies owned or licensed by the government. In the Netherlands, for example, residents can only place online bets with a state monopoly: De Lotto. The Ministry of Justice even warned banks in the country that they could be prosecuted if they transferred money to online gambling companies. Other countries have ordered online betting companies to block access to their sites. Their governments argue that this is to protect people from gambling excessively. However the revenue they gain from their own monopolies should not be ignored as a possible motive.
1. If governments believe that gambling is bad for their citizens then in economic terms how would you classify this service?
2. Why might governments want to protect their own monopolies in the gambling sector?
3. What might be the effect of greater competition in the gambling industry in these countries?
4. How does this relate to natural monopolies in the U.S.?
5. What are the market structure implications?
6. What are other relevant examples can be applied and discussed?
In: Economics
data:highrate trickling filter
pipe dia = 30m
deep = 1m
swage flow = 4.5mld
recirulation ratio = 1.4
bod of raw sewage = 250mg/l
bod removed in primary clarifier = 25%
efficiency?
(ans:74%)
In: Civil Engineering