Let X has a random variable that represents the hemoglobin count in human blood in grams per milliliters. In healthy adult females, X has an approximately normal distribution with a population mean of µ = 14.2 and a standard deviation of σ =2.4 Suppose a female patient has 10 blood tests over the past year, and the sample HC was determined to be x =15.2 with the level of significance ̄ α = 0.01 Determine whether the patient’s HC is higher than the population average.
Let X has a random variable that represents the hemoglobin count in human blood in grams per milliliters. In healthy adult females, X has an approximately normal distribution with a population mean of µ = 14.2 and a standard deviation of σ =2.4 Suppose a female patient has 10 blood tests over the past year, and the sample HC was determined to be x =15.2 with the level of significance ̄ α = 0.01 Determine whether the patient’s HC is higher than the population average.
Let X has a random variable that represents the hemoglobin count in human blood in grams per milliliters. In healthy adult females, X has an approximately normal distribution with a population mean of µ = 14.2 and a standard deviation of σ =2.4 Suppose a female patient has 10 blood tests over the past year, and the sample HC was determined to be x =15.2 with the level of significance ̄ α = 0.01 Determine whether the patient’s HC is higher than the population average.
Let X has a random variable that represents the hemoglobin count in human blood in grams per milliliters. In healthy adult females, X has an approximately normal distribution with a population mean of µ = 14.2 and a standard deviation of σ =2.4 Suppose a female patient has 10 blood tests over the past year, and the sample HC was determined to be x =15.2 with the level of significance ̄ α = 0.01 Determine whether the patient’s HC is higher than the population average.
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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