stat

• hypothesis testing – is a decision making process for evaluating claims about the population
• statistic – data from population
• parameter – data from sample
• hypothesis testing – basically testing an assumption that we can make about the population
• 1. Null Hypothesis (Ho)
  2. Alternative Hypothesis (Ha)
• null hypothesis – states that there is no difference between the parameters
• alternative hypothesis – states that there is difference between the two parameters
• Null Hypothesis – equal to, the same as, not changed from, is
• alternative hypothesis  

  ≠ not equal, different from, change from, not the same as.

  > greater than, above, higher than, longer than, bigger than, increased, at least.

  < less than, below, lower than, smaller than, shorter than, decreased or reduced from, at most.
• if the parameter not equal it is two tailed test
• if the parameter is greater than it is one tailed, right tailed test
• if the parameter is smaller than it is one tailed, left tail test.
• type 1 errror – rejecting the null hypothesis when it is true.
• type 2 error – accepting the null hypothesis when it is false.
• rejection process (critical region) – it is the set of all values of the task statistics that causes us to reject the null hypothesis
• non rejection region (acceptance region) – set of all values of the test statistic that causes us to fall to accept the null hypothesis.
• critical value – is a point (boundary) it is compared to the test statistic to determine if the null hypothesis would be rejected.