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Will a sample's descriptive statistics accurately estimate the underlying population's parameters?
Wiki User
∙ 10y ago
No. They may be good approximations, though.
Wiki User
∙ 10y ago
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Discuss the importance of descriptive statistics in business organisations?
Discuss the importance of descriptive statistics
What are five uses of statistics?
descriptive statistics
What are descriptive statistics and inferential statistics?
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
What is descriptive mean?
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
Does descriptive statistics means parametric statistics?
No. Descriptive statistics are those that characterise samples without attempting to draw conclusions. The purpose of them is to help investigators to form an understanding of what the data might be capable of telling them. Descriptive statistics include graphs as well as measures of location, scale, correlation, and so on. Parametric statistics are those that are based on probabilistic models (ie, mathematical models involving probability) that involve parameters. For instance, an investigator might assume that her results have come from a population that is normally distributed with a certain mean and standard deviation; this would be a parametric model. She could estimate this pair of parameters, the mean and standard deviation, using parametric statistics, or test hypotheses about them, again using parametric statistics. In either case the parametric statistics she uses would be based on the parametric mathematical model she has chosen for her data.
How can descriptive statistics be used to understand a samples characteristics?
Will a sample descriptive statistics accurately estimate the underlying population's parameters?
Why parameter should not change?
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.
Discuss the importance of descriptive statistics in business organisations?
Discuss the importance of descriptive statistics
What is an example of descriptive statistics?
Examples of descriptive statistics are mean, median, mode, and midrange.
What is the main purpose of descriptive statistics?
Descriptive statistics is the branch of statistics concerned with the collection, organization, summation and presentation of data.
What are five uses of statistics?
descriptive statistics
What are descriptive statistics and inferential statistics?
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
Types of statistics?
There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.
What is descriptive mean?
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
What are the two kinds of statistics?
Descriptive and Inferential Statistics
Your teacher presented the distribution of grades on the last quiz. What type of statistics did she use to convey this information descriptive statistics or Inferential statistics?
descriptive
Does descriptive statistics means parametric statistics?
No. Descriptive statistics are those that characterise samples without attempting to draw conclusions. The purpose of them is to help investigators to form an understanding of what the data might be capable of telling them. Descriptive statistics include graphs as well as measures of location, scale, correlation, and so on. Parametric statistics are those that are based on probabilistic models (ie, mathematical models involving probability) that involve parameters. For instance, an investigator might assume that her results have come from a population that is normally distributed with a certain mean and standard deviation; this would be a parametric model. She could estimate this pair of parameters, the mean and standard deviation, using parametric statistics, or test hypotheses about them, again using parametric statistics. In either case the parametric statistics she uses would be based on the parametric mathematical model she has chosen for her data.
