Questões de Concurso Comentadas por alunos sobre palavras conectivas | connective words em inglês

 Read the following sentences:

I. I am eternally grateful to you! By the way, I want to take you out for dinner! My treat!

II. Unfortunately, she gave up her singing career. Nevertheless, she continued acting as the main actress of the show.

III. We got a divorce because we did not love each other anymore. Besides, we realized that we did not have a lot in common.

IV. They danced all night long. Actually, they did not even sleep. 

      Goods in transit refers to merchandise and other inventory items that have been shipped by the seller, but have ..I.. been received by the purchaser. To illustrate goods in transit, let's use the following example. Company J ships a truckload of merchandise on December 30 to Customer K, which is located 2,000 miles away. The truckload of merchandise arrives at Customer K on January 2. Between December 30 and January 2, the truckload of merchandise is goods in transit. The goods in transit requires special attention if the companies issue financial statements as of December 31. The reason is that the merchandise is the inventory of one of the two companies. However, the merchandise is not physically present at either company. One of the two companies must add the cost of the goods in transit to the cost of the inventory that it has in its possession.

      The terms of the sale will indicate which company should report the goods in transit as its inventory as of December 31. If the terms are FOB shipping point, the seller (Company J) will record a December sale and receivable, and ..II..  include the goods in transit as its inventory. On December 31, Customer K is the owner of the goods in transit and will need to report a purchase, a payable, and must add the cost of the goods in transit to the cost of the inventory which is in its possession.

      If the terms of the sale are FOB destination, Company J will not have a sale and receivable until January 2. This means Company J must report the cost of the goods in transit in its inventory on December 31. (Customer K will not have a purchase, payable, or inventory of these goods until January 2.)

       (Adapted from http://www.accountingcoach.com/blog/what-are-goods-in-transit) 

Atenção: As questões de números 56 a 60 referem-se ao texto apresentado abaixo. As cores originais dos mapas 2, 3 e 4 foram alteradas para visualização em tons de cinza. 

Using analysis, we can feel confident in the spatial patterns we see, and in the decisions that we make.

Putting your data on a map is an important first step for finding patterns and understanding trends. Here we’re looking at crimes that happened in San Francisco, about 37,000 of them. Looking at the points on a map, can you find the clusters or patterns in this point data? Can you decide where the police department should allocate its resources? Just looking at points on a map is often not enough to answer questions or make decisions using this kind of point data. That’s where the spatial analysis tools in ArcGIS come in. 

We’ve all seen heat maps on TV or in web application-beautiful maps that show high-density areas in bright red, and low-density areas in blue. These maps are used to visualize crime, disease, and a whole host of other types of data and information. These heat maps can be a great first step in a visual analysis of your data  they can also be very subjective. What does that mean? Well, the two heat maps shown below reflect the same San Francisco Crime data, and were created using the same tool. The only difference is the criteria that were used to decide what appears very dark (high density) and what appears very light (low density). These types of cartographic elements that we incorporate into our maps can have a huge impact on the story that the map tells. 

If the decisions that you’re trying to make as a result of your analyses are important, and they usually are, you’ll want to minimize subjectivity as much . A great way to minimize the subjectivity in your pattern analysis is to use a hot spot analysis, which incorporates a simple spatial statistic to determine if the patterns that you’re seeing are statistically significant or not. The hot spot map is shown here.

So what makes this type of map any less subjective than density-based heat maps? The very dark areas on hot spot maps are statistically significant clusters of high values (hot spots), and the very light areas are statistically significant clusters of low values (cold spots). What’s dark and what’s light is always based on statistical significance. Using hot spot analysis, we can feel confident in the spatial patterns that we see, and in the decisions that we make.(Adapted from: http://resources.arcgis.com/en/communities/analysis/017z00000015000000.htm