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.
45.665 inches Type your answer here... what is the answer??
To convert inches to centimeters, multiply by 2.54. To convert from centimeters to inches, divide by the same factor.To convert inches to centimeters, multiply by 2.54. To convert from centimeters to inches, divide by the same factor.To convert inches to centimeters, multiply by 2.54. To convert from centimeters to inches, divide by the same factor.To convert inches to centimeters, multiply by 2.54. To convert from centimeters to inches, divide by the same factor.
how do you convert 1.96 into inches
Anything that is normally distributed has certain properties. One is that the bulk of scores will be near the mean and the farther from the mean you are, the less common the score. Specifically, about 68% of anything that is normally distributed falls within one standard deviation of the mean. That means that 68% of IQ scores fall between 85 and 115 (the mean being 100 and standard deviation being 15) AND 68% of adult male heights fall between 65 and 75 inches (the mean being 70 and I am estimating a standard deviation of 5). Basically, even though the means and standard deviations change, something that is normally distributed will keep these probabilities (relative to the mean and standard deviation). By standardizing these numbers (changing the mean to 0 and the standard deviation to 1) we can use one table to find the probabilities for anything that is normally distributed.
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.]
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.
Mean = 163.4/2.54 = 64.33 inches approx, and sd = 6.7/2.54 = 2.64 inches, approx.
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%
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To convert 2.63 inches to standard inches, multiply by 12 (since there are 12 inches in a foot). Therefore, 2.63 inches is equal to 31.56 standard inches.
2.3
45.665 inches Type your answer here... what is the answer??
no idea am asking you to convert into inches
Prob(X > 0.57) = Prob(Z > 2) = 0.02275 = 2.275%
There is no such thing as a USA standard. 4mm is the same length as 0.16 inches, approximately.
To convert 7.5mm to inches, divide 7.5 by 25.4 (since 1 inch is equal to 25.4mm). So, 7.5mm is approximately equal to 0.295 inches.