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  • Solution Manual for Business Analytics, 4th Edition, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

Solution Manual for Business Analytics, 4th Edition, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

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Solution Manual for Business Analytics 4th Edition

2.   A scatter diagram showing the relationship between the number of pages viewed and the time spent on the web site follows:

The sample correlation coefficient between these two variables is .596. The scatter diagram and the sample correlation coefficient indicate a postive relationship between the number of pages viewed and the time spent on the web site. 

Summary: The analysis indicates that online shoppers who spend more time on the company’s web site and/or view more web site pages spend more money during their visit to the web site. If Heavenly Chocolates can develop an attractive web site such that online shoppers are willing to spend more time on the web site and/or view more pages, there is a good possiblity that the company will experience greater sales. And, consideration should also be given to developing marketing strategies based upon possible differences in sales associated with the day of the week as well as differences in sales associated with the type of browser used by the customer.         

Case Problem 2: African Elephant Populations

This case provides the student with the opportunity to use the geometric mean in conjunction with a graph (such as the boxplot) to analyze changes over time in the populations of elephants in several African nations.

1.      Let’s calculate the proportional change for each country over the 10-year period, 1979–1989. We’ll begin by considering the Central African Republic. We have:

 19,000 = 63,000 x x1 2 x10 , so x x1 2 x10 = 0.301587 and xg  n x x1 2 x10 10 0.301587  0.887036

 So the mean annual change in the elephant population for the Central African Republic during this period is (0.887036 – 1)100% = –11.3%. From 1979 to 1989, the elephant population in the Central African Republic declined at an annual rate of 11.3%.

Repeating these calculations for each nation yields the values in the following table.

Country                  x x1 2 x10            xg      Mean Annual Change

Angola

1.0000

1.0000

0.0000

Botswana

2.5500

1.0981

0.0981

Cameroon

1.3086

1.0273

0.0273

Cen African Rep

0.3016

0.8870

–0.1130

Chad

0.2067

0.8541

–0.1459

Congo

6.4815

1.2055

0.2055

Dem Rep of Congo

0.2250

0.8614

–0.1386

Gabon

5.6716

1.1895

0.1895

Kenya

0.2923

0.8843

–0.1157

Mozambique

0.3394

0.8976

–0.1024

Somalia

0.2469

0.8695

–0.1305

Tanzania

0.2529

0.8716

–0.1284

Zambia

0.2733

0.8784

–0.1216

Zimbabwe

1.4333

1.0367

0.0367

 The elephant populations in several nations (Central African Republic, Chad, Democratic Republic of the Congo, Kenya, Mozambique, Somalia, Tanzania, and Zambia) declined at an annual rate of 10% or more from 1979 to 1989. During the same period a few nations (Botswana, Congo, and Gabon) experienced growth in their elephant populations.

2.         Now let’s calculate the proportional change for each country over the 18-year period, 1989–2007. We’ll again begin by considering the Central African Republic. We have:

3,334 = 19,000 x x1 2 x18 , so x x1 2 x18 = 0.175474 and xg  n x x1 2 x18 18 0.175474  0.907845

         So the mean annual change in the elephant population for the Central African Republic during this period is (0.907845 – 1)100% = –9.2155%. From 1979 to 1989, the elephant population in the Central African Republic declined at an annual rate of 9.2%.

Repeating these calculations for each nation yields the values in the following table.

Country                 x x1 2 x18            xg       Mean Annual Change

Angola

0.2040

0.9155

–0.0845

Botswana

3.4409

1.0711

0.0711

Cameroon

0.7258

0.9824

–0.0176

Cen African Rep

0.1755

0.9078

–0.0922

Chad

2.0758

1.0414

0.0414

Congo

0.3157

0.9380

–0.0620

Dem Rep of Congo

0.2790

0.9315

–0.0685

Gabon

0.9294

0.9959

–0.0041

Kenya

1.6651

1.0287

0.0287

Mozambique

1.4026

1.0190

0.0190

Somalia

0.0117

0.7809

–0.2191

Tanzania

2.0875

1.0417

0.0417

Zambia

0.7130

0.9814

–0.0186

Zimbabwe

2.3048

1.0475

0.0475

 Only one country (Somalia) continues to experience average annual declines of 10% or more in its elephant population from 1989 to 2007, while most other nations had relatively small mean annual changes in their elephant populations.

3.         Now let’s calculate the proportional change for each country over the five-year period, 2007–2012. We’ll again begin by considering the Central African Republic. We have:

So the mean annual change in the elephant population for the Central African Republic during this period is (0.927223 – 1)100 = –7.2777%. From 2007 to 2012, the elephant population in the Central African Republic declined at an annual rate of 7.3%.

Repeating these calculations for each nation yields the values in the following table.

Angola

1.0000

1.0000

0.0000

Botswana

0.9998

1.0000

0.0000

Cameroon

0.9130

0.9820

–0.0180

Cen African Rep

0.6854

0.9272

–0.0728

Chad

0.4668

0.8587

–0.1413

Congo

2.2298

1.1740

0.1740

Dem Rep of Congo

0.5766

0.8957

–0.1043

Gabon

1.0936

1.0181

0.0181

Kenya

1.1462

1.0277

0.0277

Mozambique

1.0163

1.0032

0.0032

Somalia

1.0000

1.0000

0.0000

Tanzania

0.7033

0.9320

–0.0680

Zambia

0.7386

0.9412

–0.0588

Zimbabwe

1.0119

1.0024

0.0024

           

 Two countries (Chad and Democratic Republic of the Congo) experienced average annual declines in their elephant populations of 10% or more from 2007 to 2012, while most other nations had relatively small mean annual changes in their elephant populations.

 

4.         Now we compare the results of our three analyses and draw conclusions.                 Mean Annual

Chad 

–0.1459

0.0414

–0.1413

Dem Rep of Congo

–0.1386

–0.0685

–0.1043

Somalia 

–0.1305

–0.2191

0.0000

Tanzania 

–0.1284

0.0417

–0.0680

Zambia 

–0.1216

–0.0186

–0.0588

Kenya 

–0.1157

0.0287

0.0277

Cen African Rep 

–0.1130

–0.0922

–0.0728

Mozambique 

–0.1024

0.0190

0.0032

Angola 

0.0000

-0.0845

0.0000

Cameroon 

0.0273

–0.0176

–0.0180

Zimbabwe 

0.0367

0.0475

0.0024

Botswana 

0.0981

0.0711

0.0000

Gabon 

0.1895

–0.0041

0.0181

Congo 

0.2055

–0.0620

0.1740

 

 

 

 

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    Solution Manual for Business Analytics 4th Edition Jeffrey D. Camm

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