After analysing data for a long period of time, it was determined that samples of 500 readings of an organic pollutant for an area are normally distributed.
For this pollutant, Pollutant mean = 3.20 ug/m^3 and Standard deviation = 0.40 ug/m^3
In a sample, how many readings are below 1.10 ug/m^3?
For this pollutant, Pollutant mean = 3.20 ug/m^3 and Standard deviation = 0.40 ug/m^3
In a sample, how many readings are below 1.10 ug/m^3?
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Z = (1.10 - 3.20) / 0.40 = -5.25
According to the Z-table, when Z = -3.49, the probability mass below is 0.0002. So, if we have 500 readings, then 0.0002 * 500 = 0.1. Therefore, there are likely no readings below 1.10
According to the Z-table, when Z = -3.49, the probability mass below is 0.0002. So, if we have 500 readings, then 0.0002 * 500 = 0.1. Therefore, there are likely no readings below 1.10