# Statistics Problem Solver 2.2

Statistics Problem Solver is statistics tutorial software that can solve statistical problems and generate step-by-step solution

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What's new in Statistics Problem Solver 2.2:

- New feature: Solutions can now be printed.
- New feature: Solutions can now be saved in a text file.
- New feature: Solutions can now be copied to clipboard.

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- LICENSE TYPE:
- Trial
- FILE SIZE:
- 1.7 MB
- USER RATING:
- DEVELOPED BY:
**Runiter**- CATEGORY:
- C: \ Others \ Home & Education

Are you taking a beginner statistics course and need help in learning statistics and solving your statistics homework?

Statistics Problem Solver is statistics tutorial software that can solve statistical problems and generate step-by-step solutions.

￭ Plotting Histograms: The histogram generator inputs numbers as data and draws a histogram based on the given data.

￭ Discrete Distributions: Two types of distributions can be analyzed here:

￭ Binomial Distribution

￭ Poisson Distribution

￭ Continuous distributions: Continuous distributions can be solved here based on one of the following distributions:

￭ Exponential Distribution

￭ Normal Distribution

￭ Test of Significance: Test your hypotheses using the significance test analyzer and figure out whether the mean of a give information is what you expected.

￭ Data Comparison: Compare two groups of statistical data in order to test your hypothesis of the differences between the groups.

￭ 30 day trial

Statistics Problem Solver is statistics tutorial software that can solve statistical problems and generate step-by-step solutions.

**Here are some key features of "Statistics Problem Solver":**￭ Plotting Histograms: The histogram generator inputs numbers as data and draws a histogram based on the given data.

￭ Discrete Distributions: Two types of distributions can be analyzed here:

￭ Binomial Distribution

￭ Poisson Distribution

￭ Continuous distributions: Continuous distributions can be solved here based on one of the following distributions:

￭ Exponential Distribution

￭ Normal Distribution

￭ Test of Significance: Test your hypotheses using the significance test analyzer and figure out whether the mean of a give information is what you expected.

￭ Data Comparison: Compare two groups of statistical data in order to test your hypothesis of the differences between the groups.

**Limitations:**￭ 30 day trial

Last updated on September 17th, 2008

Runs on: Windows All

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