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How is the t distribution similar to the standard z distribution?
Z is the standard normal distribution. T is the standard normal distribution revised to reflect the results of sampling. This is the first step in targeted sales developed through distribution trends.
What is the difference between ordinal and nominal data?
Ordinal data has an inherent order, i.e. ranking, in its possible values. For example 'poor, fair, good, excellent' is ordinal becaused there is an assumption that the four possible values are higher from one to the next. It can be coded as 1,2,3,4 but there is no assumption of equal spacing. Nominal data has no inherent ranking, only labeling-e.g. 'apple, strawberry, orange'. The choices are three levels with no assumed value. Any numerical coding does not reflect any quantitative meaning. Georgette Asherman, Direct Effects, LLC
Differentiate equal distribution from equitable distribution?
Equitable refers to fairness. For example, an equal distrbution of marks in an exam would require that everyone got exactly the same score. An equitable distribution wold reflect the fact that some people gave better answers than others and so were more "deserving" of a higher mark.
Population what can be even random or clumped together?
Population distribution can be categorized into three main patterns: random, uniform, and clumped. In a random distribution, individuals are spread out unpredictably, allowing for equal chances of being in any given area. Clumped distribution, on the other hand, occurs when individuals group together in specific areas, often due to resources or social behavior. Both patterns reflect the underlying ecological factors and species interactions within an environment.
How can you reflect?
you can reflect in thought, or reflect some thing in a Mirror. There's other ways to reflect to.
Give an example from your business or industry that seems to reflect the normal distribution?
example from your business or industry that seems to reflect the normal distribution
How is the t distribution similar to the standard z distribution?
Z is the standard normal distribution. T is the standard normal distribution revised to reflect the results of sampling. This is the first step in targeted sales developed through distribution trends.
What is the difference between ordinal and nominal data?
Ordinal data has an inherent order, i.e. ranking, in its possible values. For example 'poor, fair, good, excellent' is ordinal becaused there is an assumption that the four possible values are higher from one to the next. It can be coded as 1,2,3,4 but there is no assumption of equal spacing. Nominal data has no inherent ranking, only labeling-e.g. 'apple, strawberry, orange'. The choices are three levels with no assumed value. Any numerical coding does not reflect any quantitative meaning. Georgette Asherman, Direct Effects, LLC
How do you post ordinal shares on balance sheet?
To post ordinal shares on a balance sheet, you need to first determine the number of shares and their corresponding value. Then, create an equity section on the balance sheet and include a line item for "Ordinal Shares" with the total number of shares and their value as the amount. Finally, adjust the equity section to reflect any changes in the number of shares or value over time.
Does vermont have large hispanic popuation?
Vermont does not have a large Hispanic population. The 2010 census statistics reflect that there were approximately 5500 individuals who were Hispanic or Latino.
How does our Parliamentary system reflect Canada's population distribution and still protect the smaller provinces?
It doesn't but a mp represents 18000 people
Are women more marginal to crime than men?
Statistics reflect an ever increasing number of women becoming involved in crime, especially violent crime.
Differentiate equal distribution from equitable distribution?
Equitable refers to fairness. For example, an equal distrbution of marks in an exam would require that everyone got exactly the same score. An equitable distribution wold reflect the fact that some people gave better answers than others and so were more "deserving" of a higher mark.
What is the mean of the sampling distribution of the sample mean?
Frequently it's impossible or impractical to test the entire universe of data to determine probabilities. So we test a small sub-set of the universal database and we call that the sample. Then using that sub-set of data we calculate its distribution, which is called the sample distribution. Normally we find the sample distribution has a bell shape, which we actually call the "normal distribution." When the data reflect the normal distribution of a sample, we call it the Student's t distribution to distinguish it from the normal distribution of a universe of data. The Student's t distribution is useful because with it and the small number of data we test, we can infer the probability distribution of the entire universal data set with some degree of confidence.
What is the sampling distribution of sample means and why is it useful?
Frequently it's impossible or impractical to test the entire universe of data to determine probabilities. So we test a small sub-set of the universal database and we call that the sample. Then using that sub-set of data we calculate its distribution, which is called the sample distribution. Normally we find the sample distribution has a bell shape, which we actually call the "normal distribution." When the data reflect the normal distribution of a sample, we call it the Student's t distribution to distinguish it from the normal distribution of a universe of data. The Student's t distribution is useful because with it and the small number of data we test, we can infer the probability distribution of the entire universal data set with some degree of confidence.
What is the different between official and unofficial crime statistics?
Official crime statistics are compiled by government agencies, such as the FBI or the Bureau of Justice Statistics, and are based on reported crimes, arrests, and law enforcement records. These statistics tend to reflect only crimes that are reported to authorities, potentially underrepresenting the true extent of criminal activity. Unofficial crime statistics, on the other hand, are gathered through alternative methods like surveys, victim reports, or research studies, which may capture unreported crimes and offer a broader view of crime in society. Consequently, unofficial statistics can sometimes reveal higher crime rates and different trends compared to official data.
If a distribution is abnormally tall and amp peaked?
If a distribution is abnormally tall and sharply peaked, it indicates that a large proportion of the data is concentrated around a central value, resulting in a high kurtosis. This suggests that the distribution has low variability and fewer extreme values, leading to a pronounced peak. Such distributions can often reflect phenomena with strict constraints or underlying factors that limit variability. In contrast, a normal distribution would typically have a more moderate peak and broader tails.
