The scores on a finite mathematics test were normally distributed with a mean of 76 and a standard deviation of 12. [a] The minimum score a student could obtain in order to receive an A is 90.What is the probability a randomly selected student receives an A? [b] The minimum score a student could obtain in order to pass the test is 60. What is the probability a randomly selected student failed the test?
The scores on a finite mathematics test were normally distributed with a mean of 76 and a standard deviation of 12. [a] The minimum score a student could obtain in order to receive an A is 90.What is the probability a randomly selected student receives an A? [b] The minimum score a student could obtain in order to pass the test is 60. What is the probability a randomly selected student failed the test?
The scores on a finite mathematics test were normally distributed with a mean of 76 and a standard deviation of 12. [a] The minimum score a student could obtain in order to receive an A is 90.What is the probability a randomly selected student receives an A? [b] The minimum score a student could obtain in order to pass the test is 60. What is the probability a randomly selected student failed the test?
The scores on a finite mathematics test were normally distributed with a mean of 76 and a standard deviation of 12.
[a] The minimum score a student could obtain in order to receive an A is
90.What is the probability a randomly selected student receives an A?
[b] The minimum score a student could obtain in order to pass the test is
60. What is the probability a randomly selected student failed the test?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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