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What is measures of central tendency as it relates to quantitative descriptive statistics?
They are the mean, median and mode.
Why we calculate the variance and standard deviation?
They are measures of the spread of the data and constitute one of the key descriptive statistics.
What are descriptive statistics used to describe?
They describe the basic features of data. They provide summaries about the sample and the measures, and together with simple graphic analysis, they form the basis of virtually every analysis of data.
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.
Which of the arithmetic mean median and mode are resistant measures of central tendency?
Of these three, the median is most resistant.
Statistic is resistant?
Which descriptive summary measures are considered to be resistant statistics
What is measures of central tendency as it relates to quantitative descriptive statistics?
They are the mean, median and mode.
Why we calculate the variance and standard deviation?
They are measures of the spread of the data and constitute one of the key descriptive statistics.
Why are measures of variability essential to inferential statistics?
Why are measures of variability essential to inferential statistics?
What are descriptive statistics used to describe?
They describe the basic features of data. They provide summaries about the sample and the measures, and together with simple graphic analysis, they form the basis of virtually every analysis of data.
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.
What is the term for the unit that measures electrical resistant?
ohm
Which of the arithmetic mean median and mode are resistant measures of central tendency?
Of these three, the median is most resistant.
How do you make paper fire resistant?
by how can you find measures of variation?
What is Meaning of Regression in Statistics?
It measures associations between variables.
Would it be descriptive or inferential statistics to say that in the year 2010 that 148 million Americans will be enrolled in an HMO?
The question was posted in 2013 and so it is quite possible that the actual numbers for 2010 were available from some study. If that was the case, then the statement would be descriptive. However, it could be based on the number of Americans employed in HMOs in an earlier year together with projections based on other measures. In that case, it would be inferential.
What The mean median and mode are examples of what type of statistics?
They are measures of location [of a distribution].
