The percent of fat calories that a person in America consumes each day is normally distributed with a mean of about 36 and a standard deviation of 10. Suppose that one individual is randomly chosen. Let X = percent of fat calories. Find the probability that the percent of fat calories a person consumes is more than 40. Sketch the associated graph/figure. Find the maximum number for the lower quarter of percent of fat calories. Sketch the graph, and write the probability statement (i.e. interpret calculated value).
The percent of fat calories that a person in America consumes each day is normally distributed with a mean of about 36 and a standard deviation of 10. Suppose that one individual is randomly chosen. Let X = percent of fat calories. Find the probability that the percent of fat calories a person consumes is more than 40. Sketch the associated graph/figure. Find the maximum number for the lower quarter of percent of fat calories. Sketch the graph, and write the probability statement (i.e. interpret calculated value).
The percent of fat calories that a person in America consumes each day is normally distributed with a mean of about 36 and a standard deviation of 10. Suppose that one individual is randomly chosen. Let X = percent of fat calories. Find the probability that the percent of fat calories a person consumes is more than 40. Sketch the associated graph/figure. Find the maximum number for the lower quarter of percent of fat calories. Sketch the graph, and write the probability statement (i.e. interpret calculated value).
The percent of fat calories that a person in America consumes each day is normally distributed with a mean of about 36 and a standard deviation of 10. Suppose that one individual is randomly chosen. Let X = percent of fat calories.
Find the probability that the percent of fat calories a person consumes is more than 40. Sketch the associated graph/figure.
Find the maximum number for the lower quarter of percent of fat calories. Sketch the graph, and write the probability statement (i.e. interpret calculated value).
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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