What is the minimum data required for standard deviation?
The standard deviation is a measure of how spread out the numbers are. Three points is needed to calculate a statistically valid meaningful standard deviation.
Previous person's answer: That may differ depending on how many students total there are but I my self believe that is 33.333333333% and so on. Answer
It looks like something is left out - there is not enough information to give an answer here, because we don't know how many students are in the physics department. For example, if there are 20 then all are in an ethnic minority, so all ten chosen at random will also be in an ethnic minority, and the chance that exactly 6 will be 'ethnic' is of course, zero. A possibility that would make the question easy to answer is that you just left out a percent symbol in the question - that is, that it should say, "20 % of the physics majors".
You need to edit the question. If for example there are 100 students in the department then you can either look up the rules for finding the probability or reason it out from basic principles.
If my guess is correct that the original problem said 20% where you say "20"
then you want to look up the "choose" function, your answer will involve
"10 choose 6" times a power of 0.2 and a power of 0.8. This should be a sufficient
hint to look up the correct answer.
What is abnormal distribution?
A standard distribution regards 95% of all data being within 2-standard deviations of either side. Similarly, within one standard deviation either way is 68% of all data. This creates a bell curve distribution. An abnormal distribution would be erratic and not follow such a statistical structure of representation.
What is the meaning of preponderance of probabilities?
The preponderance of evidence of the constant harsh and abusive language directed towards Winnebago's employees were unprofessional.
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What are some examples of abnormal and normal distribution in statistics?
IQ is normally distributed in the general population.
Age is not.
The reason the standard deviation of a distribution of means is smaller than the standard deviation of the population from which it was derived is actually quite logical. Keep in mind that standard deviation is the square root of variance. Variance is quite simply an expression of the variation among values in the population. Each of the means within the distribution of means is comprised of a sample of values taken randomly from the population. While it is possible for a random sample of multiple values to have come from one extreme or the other of the population distribution, it is unlikely. Generally, each sample will consist of some values on the lower end of the distribution, some from the higher end, and most from near the middle. In most cases, the values (both extremes and middle values) within each sample will balance out and average out to somewhere toward the middle of the population distribution. So the mean of each sample is likely to be close to the mean of the population and unlikely to be extreme in either direction. Because the majority of the means in a distribution of means will fall closer to the population mean than many of the individual values in the population, there is less variation among the distribution of means than among individual values in the population from which it was derived. Because there is less variation, the variance is lower, and thus, the square root of the variance - the standard deviation of the distribution of means - is less than the standard deviation of the population from which it was derived.
priests
Find the area under the normal distribution curve between z equals 1.23 and z equals 1.90?
Look in any standard normal distribution table; one is given in the related link. Find the area for 2.43 and 1.52; then take the area for 2.43 and subtract the area for 1.52 and that will be the answer. Therefore, .9925 - .9357 = .0568 = area under the normal distribution curve between z equals 1.52 and z equals 2.43.
The value that results from the substitution of a given input into an expression or function?
The value that results from the substitution of a given input into an expression or function is the output. The value substituted into an expression or function is an input.
How many 3 card hands are possible from a standard deck of 52 cards?
This is a permutation, which is from 52 select 3, or52P3, or 132600. The other way to think of this is you have 52 choices for the first card, 51 choices for the second card, and 50 choices for the third card. Therefore you have 52*51*50 possible hands or 132600.
It is 28/52 = 7/13
How many male face cards are there in a standard deck of 52 cards?
If you consider a jack and a king to be male, and a queen to be female, then there are 2 male face cards in each suit in a deck of 52 cards. That makes 8 male face cards in the full deck.
If you consider the queen to also be male, then there are 12 male face cards in the full deck. It depends on your sexual orientation. There are other possibilities. Figure it out yourself.
What are the number of different ways you can arrange the letters MORGAN?
The first letter can be any one of the 6 letters. For each of those . . .
The second letter can be any one of the remaining 5 letters. For each of those . . .
The third letter can be any one of the remaining 4 letters. For each of those . . .
The fourth letter can be any one of the remaining 3 letters. For each of those . . .
The fifth letter can be any one of the remaining 2 letters.
The total number of different ways they can be arranged is (6 x 5 x 4 x 3 x 2) = 720 .
1/2. or 50%. You can draw a red card, or you can draw a black card.
However, if you have already drawn 10 black cards and 0 red cards then the probability of drawing a black is:
16(remaning black cards)/42(remaning cards)
=38%
What is the standard deviation of a standard normal distribution?
The standard deviation in a standard normal distribution is 1.
What is the probability of drawing a 4 or a club in a deck of cards?
In a standard 52 card deck, there are 13 clubs and 4 4s. However, the four of clubs is in both lists, so this represents only 16 distinct cards (the 13 clubs, and the 3 other 4s).
The probability of drawing one of these 16 cards is 16/52, or 4/13.
What is the possibility of two heterozygous parents having identical twins?
Heterozygous parents have the same odds of identical twins as the general population.
Identical twins do not run in families and, therefore, twinning is not related to genetics. Comparisons among different ethnic groups rule out an ethnic cause-no difference.
Only mother's age correlates with twinning: the older the mother, the greater the likelihood.