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2.5 Watter persentasie van die jaar het Satara 'n gemiddelde reënval van 10 mm of
laer gehad?
2.6 Bereken die interkwartielomvang (IKO) vir die aemiddelde reënval gemeet by

Ask by Stuart Summers. in South Africa
Mar 25,2025

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To determine the percentage of the year with an average rainfall of 10 mm or less, we need the number of days with rainfall ≤ 10 mm. Similarly, to calculate the interquartile range (IQR) for the average rainfall, we require the specific rainfall data. Please provide the necessary data to perform these calculations.

Solución

To solve the problems, we need to break them down into steps.

2.5 Percentage of the Year with Average Rainfall of 10 mm or Less

  1. Known Conditions: We need to find out what percentage of the year Satara had an average rainfall of 10 mm or less.
  2. Assumption: Let’s assume we have data for the total number of days in a year (365 days).
  3. Calculation: If we know the number of days with an average rainfall of 10 mm or less, we can calculate the percentage.

2.6 Calculate the Interquartile Range (IQR)

  1. Known Conditions: We need the average rainfall data to calculate the interquartile range (IQR).
  2. Definition: The IQR is calculated as:
    where is the first quartile and is the third quartile.
To proceed, I need the specific data for the average rainfall measurements to calculate the IQR and the number of days with rainfall of 10 mm or less. Please provide that data.

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Beyond the Answer

In die warm en sonbeskinnte weiveld van Satara, is daar 'n verrassende variasie in reënval. In sommige jare kan dit selfs gebeur dat 'n gedeelte van die jaar heeltemal droog is, met nie 'n druppel reën nie. Oddly enough, in baie plekke gaan die reënval nie net oor hoeveel water val nie, maar meer oor wanneer hulle val - wat voor professionele meteoroloë op 'n baie meer opwindende pad lei om die weer te bestudeer!
Wanneer jy die interkwartielomvang (IKO) bereken, is dit belangrik om te verstaan wat dit beteken. Dit meet die verspreiding van jou data deur die verskil tussen die eerste kwartiel (Q1, die waarde onder welke 25% van die waarnemings val) en die derde kwartiel (Q3, die waarde onder welke 75% val). Die IKO is 'n wonderlike metode om te bepaal hoe gespreid jou data is, wat jou kan help om enige uitskieters te identifiseer.

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