Megastat Assignment Help

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 Megastat Assignment Help
 

What is Megastat?

MegaStat is a full-featured Excel add-in that performs statistical analyses with an Excel workbook. It performs basic functions, such as descriptive statistics, frequency distributions, and probability calculations as well as hypothesis testing and more. It works with Windows versions of Excel 2016 and 2013. There is also an Apple Mac version for Mac Excel 2016.

Features of Megastat

Creates separate output sheets for each analysis with perfectly formatted output.

  • Auto-Expand feature helps to select the data and information quickly.
  • Data labels will be detected automatically.
  • MegaStat can accessed through menu bar that is completely separate from Excel's Data Analysis Tools.
  • It includes several tools, which are not available in Excel's Data Analysis Tools.
  • The Stepwise Selection procedure is available while performing Regression analysis.

Our Megastat Assignment Help experts explain the various topics used in solving Megastat Assignment Help such as

            

Descriptive statistics

Frequency distributions

Probability

Hypothesis testing

ANOVA

Regression

            

Descriptive statistics

Descriptive statistics used to summarize data, which can be either a representation of the entire or a sample of a population.

Frequency distributions

It representation in a graphical or tabular format that displays the number of observations within a given interval. The intervals must be mutually exclusive and exhaustive. The interval size depends on the data being analyzed and the goals of the analyst.

Probability

It is known as the possible outcomes in an experiment, like in a toss with a coin, the two possible outcomes are head and tail. These possible outcomes are called sample space

Hypothesis testing

It is an assumption which is tested to determine the relationship between two data sets. These data sets are called the null hypothesis and the alternative hypothesis.

ANOVA

It is an analysis tool used in statistics. It splits the aggregate variability found inside a data set into two parts: systematic factors and random factors.

Regression

It is used to examine the relationship between one dependent and one independent variable.

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