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Are normally distributed with a mean of 68 inches and a standard deviation of 2 inches What is the probability that the height of a randomly selected female college basketball player is more than 66?
84% To solve this problem, you must first realize that 66 inches is one standard deviation below the mean. The empirical rule states that 34% will be between the mean and 1 standard deviation below the mean. We are looking for the prob. of the height being greater than 66 inches, which is then 50% (for the entire right side of the distribution) + 34%
Is 5 yard greater than 150 inches?
Step-By-Step: 5x30=150 It is not greater.
Is 34 ft and 10 inches equal to greater than or smaller than 518 inches?
Greater than
Which is the greater of nine yards and 327 inches?
327 inches is greater.
Which is greater 38 inches or 3 feet?
38 inches is two inches longer than three feet.38 in.
Assuming that the heights of college women are normally distributed with mean 65 inches and standard deviation 2.5 inches what percentage of women are between 62.5 inches and 67.5 inches?
3
The heights of Russian men are normally distributed with a mean of 66.8 inches and a standard deviation of 2.6 inches. What percentage of Russian men are over 72 inches tall?
2.3
How do you convert variance of 10.8 square inches into standard deviation?
Standard deviation = square root of variance.
What is the standard deviation of height in the US population?
The standard deviation of height in the US population is approximately 3 inches.
Are normally distributed with a mean of 68 inches and a standard deviation of 2 inches What is the probability that the height of a randomly selected female college basketball player is more than 66?
84% To solve this problem, you must first realize that 66 inches is one standard deviation below the mean. The empirical rule states that 34% will be between the mean and 1 standard deviation below the mean. We are looking for the prob. of the height being greater than 66 inches, which is then 50% (for the entire right side of the distribution) + 34%
What does it mean when the standard deviation is 1?
A standard deviation is a statistical measure of the variation there in a population or group. A standard deviation of 1 means that 68% of the members of the population are withing plus or minus the value of the standard deviation from the average. For example: assume the average height of men is 5 feet 9 inches, and the standard deviation is three inches. Then 68% of all men are between 5' 6" and 6' which is 5'9" plus or minus 3 inches. [Note: this is only to illustrate and is not intended to be a real/correct statistic of men's heights.]
If the average height for women is normally distributed with a mean of 65 inches and a standard deviation of 2.5 inches then approximately 68 of all women should be between and inches in height.?
In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean. Given a mean height of 65 inches and a standard deviation of 2.5 inches, this means that approximately 68% of women will have heights between 62.5 inches (65 - 2.5) and 67.5 inches (65 + 2.5).
If average height for women is normally distributed with a mean of 65 inches and a standard deviation of 2.5 inches then approximately 95 percent of all women should be between what and what inches?
A normal distribution with a mean of 65 and a standard deviation of 2.5 would have 95% of the population being between 60 and 70, i.e. +/- two standard deviations.
The annual precipitation for one city is normally distributed with mean of 38.9 inches and a standard deviation of 3.3 inches Find the 20th percentile?
45.665 inches Type your answer here... what is the answer??
If the mean height of the population is 68 inches and the standard deviation is 4 inches99.7 of the population will have a height within ranges?
According to the empirical rule (68-95-99.7 rule), approximately 99.7% of the population falls within three standard deviations of the mean. Given a mean height of 68 inches and a standard deviation of 4 inches, this range is calculated as follows: 68 inches ± 3(4 inches), which results in a height range of 56 inches to 80 inches. Thus, 99.7% of the population will have a height between 56 inches and 80 inches.
Suppose a normal random variable has a mean of 72 inches and a standard deviation of 2 inches Suppose the random variable X measures the height of adult males in a certain city One may therefore con?
Suppose a normal random variable has a mean of 72 inches and a standard deviation of 2 inches. Suppose the random variable X measures the height of adult males in a certain city. One may therefore conclude that approximately 84% of the men in this population are shorter than?
The mean is 163.4 cm and the standard deviation is 6.7 cm. Using 1 inch 2.54 cm convert each number to inches.?
Mean = 163.4/2.54 = 64.33 inches approx, and sd = 6.7/2.54 = 2.64 inches, approx.
