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A sample of 66 observations will be taken an infinite population The population proportion equals 0.12 The probability that the sample proportion will be less than 0.1768 is?
Wiki User
∙ 10y ago
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Wiki User
∙ 10y ago
Blessing Abah
0.9222
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In statistics what is the word for the group you are interested in learning about?
In statistics, it is called the 'population'. There are two types of populations: finite and infinite. A finite population can simply be counted such as the number of students in a class. An infinite population, on the other hand, cannot be counted or is very difficult to count such as the residents in a city. Statistics is all about infinite populations because we need to make conclusions about the entire population based on observations of a small sample of that population.
What is the probability of a repeated number in random select?
infinite
What is the meaning of Sampling distribution of the test statistic?
Given any sample size there are many samples of that size that can be drawn from the population. In the population is N and the sample size in n, then there are NCn, but remember that the population can be infinite. A test statistic is a value that is calculated from only the observations in a sample (no unknown parameters are estimated). The value of the test statistic will change from sample to sample. The sampling distribution of a test statistic is the probability distribution function for all the values that the test statistic can take across all possible samples.
What does probillity mean?
The probability of an event is the percentage of times that it would happen out of an infinite number of tries.
How does a discrete probability distribution differ from a continuous probability distribution?
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
In statistics what is the word for the group you are interested in learning about?
In statistics, it is called the 'population'. There are two types of populations: finite and infinite. A finite population can simply be counted such as the number of students in a class. An infinite population, on the other hand, cannot be counted or is very difficult to count such as the residents in a city. Statistics is all about infinite populations because we need to make conclusions about the entire population based on observations of a small sample of that population.
What is the probability of a repeated number in random select?
infinite
Wouldn't the population of space be generally zero if its inifinite thus making it possible for infinite planets thus making it possible again for no life to exist on those planets other than earth?
No, it is not possible. Such a scenario in an infinite universe could only occur if the probability of life forming were exactly 0. Life on Earth is evidence that this probability is at least slightly greater than 0, and when multiplied by infinity, would equal infinity. So the population of an infinite universe would, in fact, be infinity.
What is the probability that x equals 5?
Well, there are infinite possibilities, because there are an infinite amount of numbers-the number line goes on forever. So your probability would be one over infinity.
What is the meaning of Sampling distribution of the test statistic?
Given any sample size there are many samples of that size that can be drawn from the population. In the population is N and the sample size in n, then there are NCn, but remember that the population can be infinite. A test statistic is a value that is calculated from only the observations in a sample (no unknown parameters are estimated). The value of the test statistic will change from sample to sample. The sampling distribution of a test statistic is the probability distribution function for all the values that the test statistic can take across all possible samples.
Is a discrete probability distribution the only thing that can have an infinite number of outcomes?
No, the exact opposite is true.
What does probillity mean?
The probability of an event is the percentage of times that it would happen out of an infinite number of tries.
Is it possible to define a probability on a countably infinite sample space so that the outcomes are equally probable?
No, it is not.
What is a probability model with infinite sample space?
The time taken between your posting this question and receiving a reply.
Is the infinite probability wave function a contradiction in terms?
No it is simply a nonsense. Wave functions describe finite probabilites.
How does a discrete probability distribution differ from a continuous probability distribution?
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
What is the technique to find the estimates of an infinite population?
you should find it yourself
