Practice Estimation Techniques (10.4) - Missing Rainfall Data – Estimation

Practice: Estimation Techniques

Lesson 10.4Missing Rainfall Data – Estimation

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the Arithmetic Mean Method used for?
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Think of averaging values.
Question 2.
Why is the Normal Ratio Method important?
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Consider conditions affecting rainfall.
3Question 3.
What does the Arithmetic Mean Method assume about surrounding rainfall?
- A: Rainfall amounts are highly variable
- B: Rainfall amounts are uniform
- C: Rainfall data is consistent over time
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Consider how averaging works.
4Question 4.
True or False: The Normal Ratio Method requires long-term rainfall normals.
- True
- False
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Think about what 'normal' means in data context.
Question 5.
You have three neighboring stations with recorded rainfalls of 110 mm, 120 mm, and 115 mm. If one station is missing data during a similar season, use the Arithmetic Mean Method to estimate the rainfall.
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Remember to sum and divide by the number of stations.
Question 6.
Consider a scenario where one station's normal rainfall is significantly higher than the others by 30%. Explain how you would apply the Normal Ratio Method to estimate its missing data.
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Think about how to establish the ratio effectively.

5 more questions in this section. Enroll free to practise them all.