Here are the essential concepts you must grasp in order to answer the question correctly.
Normal Distribution
Normal distribution is a probability distribution that is symmetric about the mean, depicting that data near the mean are more frequent in occurrence than data far from the mean. It is characterized by its bell-shaped curve, defined by two parameters: the mean (average) and the standard deviation (which measures the spread of the data). In this context, the surface concentration of carbonyl sulfide follows a normal distribution, allowing us to use statistical methods to find probabilities within specified ranges.
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Mean and Standard Deviation
The mean is the average value of a dataset, calculated by summing all values and dividing by the number of values. The standard deviation quantifies the amount of variation or dispersion in a set of values; a low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates a wider spread. In this problem, the mean concentration of carbonyl sulfide is 9.1 picomoles per liter, and the standard deviation is 3.5 picomoles per liter, which are essential for calculating probabilities.
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Probability Calculation
Probability calculation involves determining the likelihood of a specific event occurring within a defined set of outcomes. For normally distributed data, this often requires converting raw scores into z-scores, which represent the number of standard deviations a value is from the mean. By using z-scores and standard normal distribution tables or technology, we can find the probability that the surface concentration of carbonyl sulfide falls within a specified range, such as between 5.1 and 15.7 picomoles per liter.
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