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What proportion are between 20 and 40 days old if there is Normal distribution with a mean of 28days and standard deviation of 8 days?
77.45%
What is the median of the prime numbers less than 40?
The median of the 12 primes less than 40 is 15.
How do the width and height of a normal distribution curve?
By standard practice, the normal distribution curve should be normalized so that the area under the curve is 1. This results in a height, at the mean, of about 0.4, i.e. the probability of a sample value being equal to the mean is 40 percent. The width of the normal distribution curve is infinite, as the tails are asymptotic to the X axis. It is easier to understand that the +/- one sigma area is 68.2 percent, the +/- two sigma area is 95.4 percent, and the +/- three sigma area is 99.6 percent.
When population distribution is right skewed is the sampling also with right skewed distribution?
If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.
What is the median of 20 28 24 28 40 39 31?
Median is 28
Can the mean mean be less than the median?
definantly, yes Of course. 1, 2, 3, 40, 50, 60, 82 Mean = 34 Median = 40
What proportion are between 20 and 40 days old if there is Normal distribution with a mean of 28days and standard deviation of 8 days?
77.45%
What is the median of 20 and 40?
When there is an even number of items in the data set the median is the mean average of the middle two. The middle two are the two items themselves, namely 20 and 40, so the median is (20 + 40)/2 = 30.
What is the mean median and mode of the numbers 28 35 40 28 33 36 39 31?
Mean: 33.75 Median: 34 Mode: 28
What is the median of the following distribution 26 26 28 29 31 33 35 36 37 38 40 42 43 46 48?
36
What is the mode median mean for 6 81 67 40 68 83 61 61 17 16 193 121 83?
Mean: 69 Median: 67 Mode: 83, 61
What is the median for 60, 25, 89, 10, 45, 62, 60, 50, 30?
25 It's the middle number from that set of 7
What is the median of the prime numbers less than 40?
The median of the 12 primes less than 40 is 15.
How do the width and height of a normal distribution curve?
By standard practice, the normal distribution curve should be normalized so that the area under the curve is 1. This results in a height, at the mean, of about 0.4, i.e. the probability of a sample value being equal to the mean is 40 percent. The width of the normal distribution curve is infinite, as the tails are asymptotic to the X axis. It is easier to understand that the +/- one sigma area is 68.2 percent, the +/- two sigma area is 95.4 percent, and the +/- three sigma area is 99.6 percent.
If a trapezoid has base lengths of 18 and 40 what is the length of the median?
median = 29
Is forty a median number?
Any number can be a median, so for the correct set of values, 40 could be a median.
When population distribution is right skewed is the sampling also with right skewed distribution?
If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.
