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ONLY ANSWER THE QUESTIONS AT THE BOTTOM

Case Description

Corporations with international operations need to assess the risks associated with setting up and maintaining operations in different regions of the world. Consideration of the risks include considering such issues as political and economic stability. One indicator of the healthcare and quality of life in a country or region that is considered correlated with the risk and stability in the region is the child mortality rate. As a result, the healthcare and quality of care as measured by the child mortality rate in a region can impact the type and amount of investment in a region and countries within a region. The child mortality rate is the number of children 5 and under that die per thousand people in the population. The Inter-agency Group for Child Mortality Estimation (IGME) was obtained from www.childmortality.org. In 2008 the US rate was 7.6 deaths per thousand and in North America (US and Canada) the rate was 6.65 with a standard deviation of 0.68. The Excel file for this assignment has labels for the year, country name, and continent group.

Countr Afghanist Algeria Angola Argentina Australia Bahrain Belarus Belize Benin Bhutan Bolivia British Vir Brunei Burkina F Canada Chad Congo, De Congo, Costa Rica Cote dlvo ion CMR1998CMR2008 257 257 49.4 5 213.9 23.6 158 10.2 19.8 29.9 25.4 5154.3123.4 84 57.4 96.6 26.6 8.92 191.96 190.7 2031 186.8 209 161.4 5112.2125.4 11.5 126.5 15.2 140.4 Denmark Dominica Dominican Egyp Equatoria Estonia France Gabon Gambia German Ghana Guatemala Guinea Guinea-Bi Guyana Honduras Iceland India Indonesia Ireland Israel Ital Kiribati Korea, De Latvia 16.8 39.7 58.8 192.2 13.5 37.6 36.2 206 5 142.5 108.6 5110.515.2 59.6 5 202.6150.3 198 60.2 23.9 227.4 75.4 46.5 102.3 58.8 72.07 31.2 74.2 17.5Lebanon 29.4 2 Liechtenst Luxembou Macedonia Mali Mexico Micronesia Moldova Montserra Myanmar New Zeala Nigeria Poland Portugal Qatar Russia Saint Kitts Samoa Saudi Arab Seychelle:s Singapore Slovak Re Somalia Surinamee Swazilan<d Switzerlar Thailand Timor-Les Tonga Turkey United Ara Uzbekista Vanuatu Venezuela Vietnam Zimbabwe 195.6 42.07 34.72 40.2 18.2 5 227.44 49.7 27.5 13.08 114.2 103 220.8 188.8 20.52 2 2 2 38.16 6 15.4 174.9 43.2 123 28.5 16.5 144.7 28.14 7 26.2 49.2 26.1 39.1 125.4

QUESTIONS (only answer these):

1) What is the observed level of significance (p value) for the t-test that the mean child mortality rate in South East Asia is more than the mean child mortality rate for countries in Western Europe by more than 10 per thousand?

0.126

0.59

2.015

2.35

0.299

0 0
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Answer #1

For t-test assumong unequal variances and a hypothesised mean of 10 the results are as follows:

Home Page Layout Formul Data Review View Show Detail - Hide Detail Analysis From From From From Other Existing Refresh Access Web Text SorcesConnectionsAll Edit Links Sort Filter Text to Remove Data Consolidate What- Group Ungroup Subtotal Advanced Columns Duplicates Validation Get External Dato Connections Sort & Filter Data Tools Outline Analysis 1 Country Region CMR1998 CMR2008 2 Brunei 8.92 South East Asia Western Europe 5.775 1.876737 4 Korea, De 5 Myanmar 6 Singapore 7 Vietnam Mean Standard Error Median Mode Standard Deviation 37.84906 Sample Variance1432.551 Kurtosis Skewness Range Minimum Maximum Sum Count 35.95 15.45181 Mean Standard Error Median 1 114.2 39.1 #A/ A Standard Deviation Sample Variance 6.501206 9 Country Region CMR1998 CMR2008 10 Denmark 11 Estonia 12 France 13 Germany 14 Iceland 15 Ireland 16 Italy 17 Liechtenst 18 Luxembo 19 Portugal 20 Switzerlar 21 Turkey 4.4 1.357077 1.340494 100.3 11.35038 3.332821 Skewness Range Minimum Maximum Sum 4.4 69.3 4.9 54.4 26.2 Sheet1 . Africa-SouthAse Eastern ddle east SouthEastAsia-WesternE Ready 01:53 US 23-04-2018Home Page Layout Formula Data Review View Connections 抒Properties so Edit Links Show Detail - Hide Detail Clear Analysis 11의 Solver From From From From Other Existing Refresh Access Web Text Sources Connections All Sort Filter Text to Remove Data Consolidate Wt- Group Ungroup Subtotal Advanced Columns Duplicates Validation Analysis Get External Data Connections Data Tools Outline Analysis し19 1 Country Region CMR1998 CMR2008 8.92 8.8 58.8 31.2 2 Brunei t-Test: Two-Sample Assuming Unequal Variances t-Test: Two-Sample Assuming Unequal Variances OK Variable 1 Variable 2 Range: Range: 4 Korea, De 5 Myanmar 6 Singapore 7 Vietnam 1 114.2103 South East Asia Western Europe 4.9 2.7 39.1 15 Mean 35.95 5.775 42.26568182 12 10 4Variance 1432.551 □ Labels pha: 0.05 Output options 9 Country Region CMR1998 CMR2008 3 5.9 4.4 13.5 5.6 5.94.3 5.94.4 Observations Hypothesized Mean Difference df t Stat P(Tc=t) one-tail t Critical one-tail P(T-t) two-tail 10 Denmark 11 Estonia 12 France 13 Germany 14 Iceland 15 Ireland 16 Italy 17 Liechtenst 18 Luxembo 19 Portugal 20 Switzerlar 21 Turkey 8 utput Range: ONew Worksheet Ply: O New岦orkbook 1.296146786 0.125762335 2.015048373 0.25152467 2.570581836 4.8 25 3t Critical two-tail 7.5 3 6.6 3.7 7.2 2.5 4.42.8 8.93.8 Count Count 12 6 4.9 54.4 26.2 14 1 r- Sheet1 . Africa-SouthAsa Eastern Europe-Middle east southEastAsia-WesternEurope-U 01:56 US 23-04-2018yiti al valve he cun yic in STade lounhics in aan out aia s d S88 option (B) (m.JAywaY

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