According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
1. variable is an antecedent 2. random assignment 3. values are maniipulated 4. controls
Statistics is the name of the subject. It is the general definition which deals with the collection, presentation and interpretation of data. On the other hand, statistic is a test used to test a hypothesis. It is commonly applied to sample cases. A statistic is a description of some measure, such as your height, weight, or age. Such measures may be collected in large numbers to be analyzed statistically to determine some characteristic of a population. For example, the collection of a population's ages make up a data base that may be analyzed by statistical methods to determine the proportion of the population that will retire and start drawing pension funds during the next decade.
In statistics the parameters of the distributions of populations are the fundamental values of interest. In a way the randomness just gets in the way of learning about the parameters. They are considered constant because they define or characterise the distributions of populations.
I define an variable by saying x- an value
Descriptive and Inferential:Descriptive statistics describe the data set.Inferential statistics use the data to draw conclusions about the population.
those rules and principles which we use to produce the language
definitive means to define , so probably a descriptive paper
A descriptive attribute is a characteristic or feature that describes an object, entity, or phenomenon. It provides additional information to help distinguish and define the qualities of the subject being described.
The human poverty index is a collection of statistics set to measure the human condition. The different statistics are combined to make the index.
p-hat is the 'proportion in your sample.' It may be given as a percentage, a proportion or you will have to figure it out as a fraction (proportion).
According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
1. variable is an antecedent 2. random assignment 3. values are maniipulated 4. controls
Statistics is the name of the subject. It is the general definition which deals with the collection, presentation and interpretation of data. On the other hand, statistic is a test used to test a hypothesis. It is commonly applied to sample cases. A statistic is a description of some measure, such as your height, weight, or age. Such measures may be collected in large numbers to be analyzed statistically to determine some characteristic of a population. For example, the collection of a population's ages make up a data base that may be analyzed by statistical methods to determine the proportion of the population that will retire and start drawing pension funds during the next decade.
In order to clearly define a term, one should provide a concise and accurate explanation of its meaning, focusing on its key attributes and characteristics. It is important to be specific and avoid using technical jargon or ambiguous language.
No statistics were kept back then. Moreover, in Asia and Africa the concept of 'unemployment' as we now define it, was practically unknown.
Imagery is the use of vivid and descriptive language that appeals to the senses to create a mental picture or sensory experience for the reader. It helps to enhance the reader's understanding by making the text more engaging and evocative. Good imagery allows the reader to connect with the text on a deeper level.