Answer: It's called the station model because it shows the weather measured at a particular weather station, or an area where the weather is measured. It lets meteorologists see a lot of information in a very small space. The symbols and numbers found there are the same across the world and have hardly changed in 75 years.
Explanation: trust me bro.
Answer:
I would want to live in the tropical climate zone. During the summer, tempertures tend to average into the 90s, which is perfect for me considering I'm always complaining about being too cold. Winters rarely drop below the 40s in this climate zone. Assuming I lived near the ocean in the tropical climate zone, I would spend my days hanging out on the beach, and enjoying myself and the ocean breeze.
Explanation:
You can edit this however you'd like to. I tried to make it plain and simple, while still having a good paragraph. Good luck!
Between 50-80 years or even more than 80 sometimes
Step 1
List all of your options as the row labels on the table, and list the factors that you need to consider as the column headings. For example, if you were buying a new laptop, factors to consider might be cost, dimensions, and hard disk size.
Step 2
Next, work your way down the columns of your table, scoring each option for each of the factors in your decision. Score each option from 0 (poor) to 5 (very good). Note that you do not have to have a different score for each option – if none of them are good for a particular factor in your decision, then all options should score 0.
Step 3
The next step is to work out the relative importance of the factors in your decision. Show these as numbers from, say, 0 to 5, where 0 means that the factor is absolutely unimportant in the final decision, and 5 means that it is very important. (It's perfectly acceptable to have factors with the same importance.)
Tip:
These values may be obvious. If they are not, then use a technique such as Paired Comparison Analysis to estimate them.
Step 4
Now multiply each of your scores from step 2 by the values for relative importance of the factor that you calculated in step 3. This will give you weighted scores for each option/factor combination.
Step 5
Finally, add up these weighted scores for each of your options. The option that scores the highest wins!
