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What percent of a normal population is within 2 standard deviations of the mean?
In a normal distribution, approximately 95% of the population falls within 2 standard deviations of the mean. This is known as the 95% rule or the empirical rule. The empirical rule states that within one standard deviation of the mean, about 68% of the population falls, and within two standard deviations, about 95% of the population falls.
How many standard deviations above and below the mean contains 99 percent of the population?
2.576 sd
Is the middle spread that is the middle 50 percent of the normal distribution is equal to one standard deviation?
false
A stock produced returns of 11 percent -14 percent and 3 percent over three of the past four years The arithmetic average for the past four years is 6.5 percent?
A stock produced returns of 11 percent, -14 percent, and 3 percent over three of the past four years. The arithmetic average for the past four years is 6.5 percent. What is the standard deviation of the stock's returns for this four year period?
When comparing the 95 percent confidence and prediction intervals for a given regression analysis what is the relation between confidence and prediction interval?
Confidence interval considers the entire data series to fix the band width with mean and standard deviation considers the present data where as prediction interval is for independent value and for future values.
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 mean plus or minus the standard deviation for a normal distribution provides a probability range of what percent?
in a normal distribution, the mean plus or minus one standard deviation covers 68.2% of the data. If you use two standard deviations, then you will cover approx. 95.5%, and three will earn you 99.7% coverage
In a standard normal distribution 95 percent of the data is within plus standard deviations of the mean?
95% is within 2 standard deviations of the mean.
How many standard deviations are 95 percent of measurements away from the mean?
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
How do you do percent variation?
Percent variation is the standard deviation divided by the average
What is percent deviation?
Percent deviation is a measure of how much a value deviates, or differs, from a standard or expected value. It is calculated by taking the absolute difference between the measured value and the standard value, dividing by the standard value, and then multiplying by 100 to express it as a percentage.
Mean of 85 standard deviation of 3what percent would you expect to score between 88 and 91?
mrs.sung gave a test in her trigonometry class. the scores were normally distributed with a mean of 85 and a standard deviation of 3. what percent would you expect to score between 88 and 91?
How do you solve this problem. You drive to work. Drive time mean 30 min standard deviation 4 min. Workday begins at 9am. What time should you leave so that probability on time is 95 percent?
if standard deviation is 4 minutes 95% probability is about 2 standard deviations (actually 1.96) so you would need to allow 30 + 8 = 38 minutes
Mrssung gave a test in her trigonometry class the scores were normally distributed with a mean of 85 and a standard deviation of 3 what percent would you expect to score between 82 and 88?
67% as it's +/- one standard deviation from the mean
When Mrs Myles gave a test the scores were normally distributed with a mean of 72 and a standard deviation of 8 About 68 percent of her students scored between which two scores?
68 % is about one standard deviation - so there score would be between 64 and 80 (72 +/- 8)
What percent of a normal population is within 2 standard deviations of the mean?
In a normal distribution, approximately 95% of the population falls within 2 standard deviations of the mean. This is known as the 95% rule or the empirical rule. The empirical rule states that within one standard deviation of the mean, about 68% of the population falls, and within two standard deviations, about 95% of the population falls.
What percent lies more than 3 standard deviations above the mean?
15/1000
