Descriptive Statistics Help

How do you solve descriptive statistics?

Descriptive Statistics is the beginning of all Statistics, and they provide the corner stone for most screening procedures, that are extremely necessary to get more advanced Statistics done right.

The construction of appropriate charts can facilitate the interpretation of other statistical analysis. Bar charts, pie charts, histograms, line plots, scatterplots, they all provide perfect screening tools for getting a glance of various distributional properties, and also to assess the assumptions of hypotheses for inferential statistics procedures.

The way you solve descriptive statistics is by computing some common statistics, such as the mean, standard deviation, median, etc. and then, based on the level of measurement of the data, we can decide on the appropriate charts to construct.

These can be, for example, bar charts, pie charts, histograms, line plots, scatterplots, they all provide perfect screening tools for getting a glance of various distributional properties, and also to assess the assumptions of hypotheses for inferential statistics procedures.

How do I find help with descriptive statistics?

You can find descriptive Statistics help with MGT! We have been helping students with everything related to descriptive statistics for almost 20 years now.

How do descriptive statistics help researchers?

There are many direct ways in which descriptive statistics help researchers. The main one, is that it allows them to get a glance of the distributional properties of the variables being analyzed

Why is this important? It is because, for example, most inferential statistics procedures require that the variables have a normal distribution, which could be quickly assessed with a chart, at least in terms of how approximately the distribution looks like.

What is the best way to show descriptive statistics?

There is no "one-size-fits-all" in this case. Different cases require different tool. But in general terms, a good starting point is to compute measures of center and dispersion of the distribution, as well as some basic charts .

This initial information would lead us into what kind of further descriptive statistics may be needed, and what kind of inferential procedure is adequate, based on the basic distributional properties shown by the descriptive statistics analysis.

What are the limitations of descriptive statistics?

There are some clear limitation to what you can do with descriptive statistics. For one, they only suggest and give you a hint about distributional properties of the variables analyzed, which is certainly a good start.

But, descriptive statistics does not allow you to make CLAIMS about distributional properties. For that purpose, you need to use inferential statistics by conducting hypotheses tests.

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We provide you help with the following:

• Charts
  • Bar Charts
  • Histograms
  • Pie Charts
  • Scatterplots
  • Line Plots


• Sample Statistics
  • Mean, Median, Mode
  • Standard Deviation and Variance
  • Range, IQR


• Distributional Properties
  • Measures of Center and Dispersion
  • Skewness and Kurtosis

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