jagomart
digital resources
picture1_Test Of Significance Ppt 68560 | M7 Hypothesis Part2


 143x       Filetype PPTX       File size 0.51 MB       Source: condor.depaul.edu


File: Test Of Significance Ppt 68560 | M7 Hypothesis Part2
learning objectives by the end of this lecture you should be able to list the basic steps in a hypothesis test describe what is meant by a p value take ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
Partial capture of text on file.
         Learning Objectives
  By the end of this lecture, you should be able to:
    – List the basic steps in a hypothesis test 
    – Describe what is meant by a p-value
    – Take a p-value and say whether the result is statistically significant, and 
     therefore, whether we reject or fail to reject the null hypothesis.
    – Explain what is meant by the significance level, alpha
    – Know the difference between a one-tailed v.s. two-tailed test
    – Calculate a p-value for either one-tailed or two-tailed tests
      Overview of Steps in a Hypothesis Test
   1. Define H0 and Ha
   2. Choose an α (e.g. 0.05)
   3. Calculate p
   4. Compare p with α 
       If p <= α    Reject Null Hyp.   
       If p > α      Fail to reject Null Hyp.
   5. State your conclusion
                                          Hypothesis Test
     The following is one way of phrasing the key question asked by a  hypothesis test:
     Is the probability high or low that the difference between the mean of one group and 
     the mean of the other group can be explained by sampling variability? 
     •   If this difference is NOT likely to be due to sampling variability, then we say the result is 
         statistically significant. 
     •   The statistical test we apply to determine if the difference between the two means is 
         statistically significant is called a hypothesis test.
     Restated:  In other words, the hypothesis test is a calculation we do to determine whether 
     or not the difference between two values is statistically significant.
     The hypothesis test calculation uses our Normal density curve (what else!) to come up 
     with a probability. This probability is called a p-value.
     •    If the p-value is less than or equal to  a predetermined  significance level, (usually 0.05), 
           we reject the null hypothesis (and accept our alternate hypothesis).
     •    If the p-value is HIGHER than our predetermined value, we fail to reject the null-
          hypothesis. In other words, we say that this sample has not convinced us to change 
          our minds.  
                    YES                                                NO
                  “Statistically Significant”        “Not Statistically Significant” 
                   Reject Null Hypothesis           Fail to reject Null Hypothesis
                                                     Note: If an experiment fails to reject the null hypothesis, 
                                                     this does NOT make the null hypothesis true. It simply 
                                                     means that our experiment did not prove that it was false. 
The words contained in this file might help you see if this file matches what you are looking for:

...Learning objectives by the end of this lecture you should be able to list basic steps in a hypothesis test describe what is meant p value take and say whether result statistically significant therefore we reject or fail null explain significance level alpha know difference between one tailed v s two calculate for either tests overview define h ha choose an e g compare with if hyp state your conclusion following way phrasing key question asked probability high low that mean group other can explained sampling variability not likely due then statistical apply determine means called restated words calculation do values uses our normal density curve else come up less than equal predetermined usually accept alternate higher sample has convinced us change minds yes no note experiment fails does make true it simply did prove was false...

no reviews yet
Please Login to review.