(environmental sciences) You\'re the statistical advisor to a scientist investig

Question

(environmental sciences) You're the statistical advisor to a scientist investigating air pol- lution in California. She has a computer pollutants (ozone, nitrogen dioxide, carbon monoxide, and PMio [10-micron particulatesl) measured every hour for a week at n- 380 locations chosen representatively all across the state. Her goal is to shed light on variations in air quality as a function of day of the week time of the day, and place, and she is about to make four big columns of numbers, one for each pollutant, containing all of the readings (ignoring time and location), and compute the mean and standard deviation (SD) and make a histogram of each column. Is thisa meaningful way to summarize the data to reach her goal? If you think so, briefly explain why; if you don't think so, briefly explain why not and suggest a better summary method (Hint: as always, it helps to visualize the raw data. You can continue your answer on the back if you want/need to.) ized data file, showing the amounts of each of four

Explanation / Answer

Time and location should not be ignored when studying pollutant readings.

Different locations will have different readings with respect to the type of pollutants and their respective readings.For example a Industrial location will have different readings for different pollutants than a residential area.

Different time points will have different readings.For example there are much lesser number of cars in a city in the morning suppose 4 am than at noon 12pm which in turn leads to different pollution levels in the morning and in the afternoon.

So we must classify the data according to location first and then time before summarising as described.

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