Write pseudo code for this problem. There are weather stations all over Fort Collins. The information is used to help create better simulations to predict the weather. Many of these are monitored by volunteers, most are very good, but everyone makes a mistake once in a while.Write pseudo code that will take in precipitation from the 250 stations. The first five reports are from the paid weather reporters; these people are assumed to not make mistakes. Find the average for these five people first.If a volunteer is more than 30% greater or smaller than the average of the professionals, their number is thrown out because it is probably a mistake. Find the averages for the city, which is the average of all good reports.Trace it to make sure it works.
Question
Write pseudo code for this problem. There are weather stations all over Fort Collins. The information is used to help create better simulations to predict the weather. Many of these are monitored by volunteers, most are very good, but everyone makes a mistake once in a while.Write pseudo code that will take in precipitation from the 250 stations. The first five reports are from the paid weather reporters; these people are assumed to not make mistakes. Find the average for these five people first.If a volunteer is more than 30% greater or smaller than the average of the professionals, their number is thrown out because it is probably a mistake. Find the averages for the city, which is the average of all good reports.Trace it to make sure it works.
Solution
Pseudo code:
- Initialize an empty list to store the precipitation data from all stations.
- For each station from 1 to 250:
- Take in precipitation data and add it to the list.
- Initialize a variable to store the sum of the first five reports (from paid reporters).
- For each report from 1 to 5:
- Add the report to the sum.
- Calculate the average of the first five reports by dividing the sum by 5.
- Initialize an empty list to store the good reports (those within 30% of the professional average).
- For each report from 6 to 250:
- If the report is not more than 30% greater or smaller than the professional average:
- Add the report to the list of good reports.
- If the report is not more than 30% greater or smaller than the professional average:
- Calculate the city average by summing all good reports and dividing by the number of good reports.
- Print the city average.
To trace this pseudo code, you would follow each step with a set of sample data. For example, if the first five reports were [10, 12, 11, 13, 12], the professional average would be 11.6. Then, if the next report was 8, it would be considered a good report because it is not more than 30% smaller than the professional average. This process would continue for all 250 reports, and the city average would be calculated from all good reports.
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