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A racing car consumes a mean of 99 gallons of gas per race with a standard deviation of 3 gallons. If 37 racing cars are randomly selected, what is the probability that the sample mean would be greater than 100.2 gallons? Round your answer to four decimal places.

Answer :

Final answer:

The probability that the sample mean consumption of gas is greater than 100.2 gallons given a random sample of 37 racing cars is approximately 0.0074 or 0.74 percent.

Explanation:

This question is about calculating probabilities using sample means and based on normal distribution. This case pertains to the field of statistics. Here, the problem can be addressed through Z scores which allow understanding of how far a data point is from the mean in terms of standard deviations.

Step 1: We need to calculate the standard error which equals standard deviation divided by the square root of the sample size (SE = sd/√n). Our given values are sd = 3 gallons and n = 37. So, SE = 3/√37= 0.492.

Step 2: We will calculate the Z score. Z = (X- µ) / SE, where X is the sample mean and µ is the population mean. Plugging in , we get Z = (100.2 - 99) / 0.492 = 2.44.

Step 3: We have to find the probability that Z is greater than 2.44. Using standard Z-tables or a calculator providing probabilities for the normal distribution, the probability of observing a Z score less than 2.44 is about 0.9926. Therefore, the probability that Z is greater than 2.44 equals 1-0.9926= 0.0074.

Learn more about Probability Calculation here:

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