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Statistics

Statistics deals with collecting, organizing, and interpreting numerical data. An important aspect of statistics is the analysis of population characteristics inferred from sampling.

36,756 Questions

What kind sampling based on probability?

Probability sampling, according to which, a member of the population has the same probability of being included in the sample as any other member. Equivalently, each sample of a given size has the same probability of being chosen.

Stratified and cluster sampling are variations on this idea. In stratified sampling, the population can be divided up into strata such that members within each stratum are more like each other than across strata. One example may be school pupils in different year groups. A sampling scheme could assign a number to be sampled from each stratum (perhaps according to how large that group is) and then, within that stratum, to use simple probability sampling.


Cluster sampling is used when the entire population can be split up into clusters. Clusters are selected using probability sampling. Then a census is used within each cluster. For example, if you wanted to sample schools across the country, a simple probability sample would result in schools all over the country and the travelling costs (and time) would be prohibitive. Instead, you divide the country up into regions and take a probability sample of these regions. You end up visiting every school within the few selected regions.

What is the largest number that can be formed using the digits 96425 without repeating any of the digits?

96425

Larger numbers can be made by cascading the powers, but not on here because the notation won't take it.

How do you find a missing cats owners number?

If you found the cat - have it scanned by animal welfare, to see if it has been micro-chipped. The microchip will have a number, which can be matched on a national database to the legal owner.

What is the probability of flipping a coin 4 times and getting heads each time?

The probability on the first flip is 50% .

The probability on the 2nd flip is 50% .

The probability on the 3rd flip is 50% .

The probability on the 4th flip is 50% .

The probability of 4 heads is (50% x 50% x 50% x 50%) = (0.5)4 = 1/16 = 6.25%

What is the least product possible when you multiply 1 digit tt greater than 0by a2 digit number?

Since the 1-digit number is explicitly required to be positive but the 2-digit number is not so constrained, the obvious solution is to make the 2-digit number negative.

This gives 9*(-99) = -891

What is the formula for the deviation?

Standard deviation is a way to describe how the data is distributed around the Arithmatic Mean. It is not a simple formula to calculate, as shown in the links.

A uniform distribution ranges from values 31 to 53. Calculate the mean of the distribution?

The mean of a continuous uniform distribution between bounds a and b has a simple formula: μ=a+b2 μ = a + b 2 .

(31+ 53 )/2 = 84/2 = 42

How much money do people spend on food monthly in the United States?

My source claims that the average American spends 12.4% of their income, or $6,133 dollars a year, on food. That's about $511 a month.

Source: see related link below for the source

How do find the median of 12 32 20 26 32 10?

First, you list the numbers in numerical order~ 10, 12, 20, 26, 32, 32. Then just find the number in the middle. If there are two in the middle (as in this example) you find the mean of those two numbers, which would be 23.

Is it true In portfolio analysis you often use historical returns and standard deviations despite the fact that you are interested in future data?

This is true because the main concept of investment, especially the quantitative branch of investment, is to predict future returns based upon historical data.

A can be any What a chance a person takes without knowing what the outcome will be the degree of probability or likelihood that something will happen a dangerous chanc?

Anyone who is going to answer this will need to know what choices there are for the answers. Without knowing this they will not be able to know which cause something dangerous to happen.

Comparision between binomial plus normal plus hypergeometric distribution?

The binomial distribution is a discrete probability distribution which describes the number of successes in a sequence of draws from a finite population, with replacement. The hypergeometric distribution is similar except that it deals with draws without replacement. For sufficiently large populations the Normal distribution is a good approximation for both.