Answer:
Standardization sample
Explanation:
Standardization sample is a group of individuals which is pretested of a given scenario or exposure prior to start of any research or study so that at the later stage of the research or study, the results obtained by exposing new sample to the same scenario or exposure can be compared with the results obtained for standardized sample.
Answer:
The new deal were a number of different reforms that were conducted under President Roosevelt between 1933-1939. The programs just ended before World War II began and were designed to help recover from the great Depression of the late 1920s.
Like any government reforms, there were both supporters and a vocal opposition.
Explanation:
<em>Argument 1 in favour:</em> The Great Depression had the greatest impact on the working class and the poor. Radical programs were needed to ensure the economy can grow, more jobs can be created and basic social needs met.
<em>Argument 2 in favour: </em>It is the responsibility of the government to ensure the poorest in the society do not suffer. Thanks to the reforms, the American economy rebounded and when the second war started,America was probably the most industrialised country in the world.
<em>Argument 1 against:</em> The American economy is built on the foundations of capitalism, free market and minimum government intervention. The reforms might seem good for now, but they are changing the way American government works and in subsequent years, companies will always look to the government for a bailout.
<em>Argument 2 against: </em>We cannot trust the government to make rational decisions. Such reforms are similar to the ones seen in Soviet Union and can lead to mismanagement of epic proportions.
Answer:
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Explanation:
my explanation is, thanks for the points
Answer:
From a statistical point of view, participants do not have enough information. To extrapolate statistical data, at least 30 subjects should be observed to make an inference, considering the traditional quantitative analysis and using the central limit theorem.
Explanation:
The central limit theorem, indicates that, in very general conditions, if Sn is the sum of n random independent variables and of not null but finite variance, then the function of distribution of Sn approximates to a normal distribution or Gauss distribution, therefore, the number of variables is quite enough in size to establish that the sample shares “normally” a characteristic such as “being obese” in the example referred regarding the tribe on the pacific island.