After surgery to replace an arthritic hip joint, the short-term recovery times until the patient is able to walk without assistance or pain are normally distributed, with a mean of 35.5 days and a standard deviation of 5.6 days. Standard Normal Distribution Table a. If a patient receiving a new hip joint is randomly selected, determine the probability that (s)he will have a short-term recovery time of: (i) Less than 2 weeks (i.e., 14 days) P(X <
After surgery to replace an arthritic hip joint, the short-term recovery times until the patient is able to walk without assistance or pain are normally distributed, with a mean of 35.5 days and a standard deviation of 5.6 days. Standard Normal Distribution Table a. If a patient receiving a new hip joint is randomly selected, determine the probability that (s)he will have a short-term recovery time of: (i) Less than 2 weeks (i.e., 14 days) P(X <
After surgery to replace an arthritic hip joint, the short-term recovery times until the patient is able to walk without assistance or pain are normally distributed, with a mean of 35.5 days and a standard deviation of 5.6 days. Standard Normal Distribution Table a. If a patient receiving a new hip joint is randomly selected, determine the probability that (s)he will have a short-term recovery time of: (i) Less than 2 weeks (i.e., 14 days) P(X <
After surgery to replace an arthritic hip joint, the short-term recovery times until the patient is able to walk without assistance or pain are normally distributed, with a mean of 35.5 days and a standard deviation of 5.6 days.
Standard Normal Distribution Table
a. If a patient receiving a new hip joint is randomly selected, determine the probability that (s)he will have a short-term recovery time of:
(i) Less than 2 weeks (i.e., 14 days) P(X < 14)=
(ii) Greater than 6 weeks (i.e., 42 days) P(X > 42)=
(iii) Between 3 and 5 weeks (i.e., between 21 and 35 days) P(21 < X < 35)=
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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