Significance Tests is often a confusing term for many statistics students. Significance tests essential are tests used to check if an outcome is by chance or not. A statistic is of statistical significance when it is reliable and not obtained by chance.  Statistical significance tests do not interpret the size of the results but if the outcome occurred by chance.  A proper understanding of statistical significance is important to deal with statistical data analysis.

 

Significance tests explores the probability of rejecting a null hypothesis when the null hypothesis is true. These types of errors are called type I errors. P-value tests are often used in significance tests. The significance test rule in the p-value test is if p-value <= significance level, the null hypothesis is rejected. Smaller p-values indicate a better result or more significant result.

 

 

 

 

Graduate Tutor’s Statistics Homework Help group can tutor you understand statistical significance tests and related topics.  Statistical significance tests are often misinterpreted and are key to statistical interpretation and decision making.

 

A few sample topics the Statistical Tutor Group can tutor you are listed below:

• The concepts of statistical significance tests
  
  
• One tailed statistical significance test
  
  
• Two tailed statistical significance test
  
  
• Procedure used to test for Statistical Significance
  
  
• Logic of statistical significance testing
  
  
• Statistical significance test for a mean
  
  
• Test for a difference between two means (unpaired and paired)
  
  
• Chi-square test for goodness of fit, homogeneity of proportions, and independence (one and two-way tables)
  
  
• Test for the slope of a least-squares regression line

Graduate Tutor’s MBA, CPA and CFA tutors provide online homework help and tutoring for a wide variety of subjects.  Our statistical significance homework help and live tutoring programs are conducted online live making it very convenient, effective and affordable.