The average age for a person getting married for the first time is 26 years (U.S. News and World Report, June 6, 1994). Assume the ages for first marriages have a normal distribution with a standard deviation of four years. What is the probability that a person getting married for the first time is younger than 23 years of age? What is the probability that a person getting married for the first time is in his or her twenties? 90% of people getting married for the first time get married before what age?
The average age for a person getting married for the first time is 26 years (U.S. News and World Report, June 6, 1994). Assume the ages for first marriages have a normal distribution with a standard deviation of four years. What is the probability that a person getting married for the first time is younger than 23 years of age? What is the probability that a person getting married for the first time is in his or her twenties? 90% of people getting married for the first time get married before what age?
The average age for a person getting married for the first time is 26 years (U.S. News and World Report, June 6, 1994). Assume the ages for first marriages have a normal distribution with a standard deviation of four years. What is the probability that a person getting married for the first time is younger than 23 years of age? What is the probability that a person getting married for the first time is in his or her twenties? 90% of people getting married for the first time get married before what age?
The average age for a person getting married for the first time is 26 years (U.S. News and World Report, June 6, 1994). Assume the ages for first marriages have a normal distribution with a standard deviation of four years.
What is the probability that a person getting married for the first time is younger than 23 years of age?
What is the probability that a person getting married for the first time is in his or her twenties?
90% of people getting married for the first time get married before what age?
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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