00:01
Hello students, here in the given problem, first find the for all the test of hypothesis between the two means the probability of rejecting the null hypothesis is a function of here the answer option a is correct the size of the observed differences because the larger the observed differences between the sample means the more likely is to reject the null hypothesis in favor of alternative hypothesis.
00:26
Therefore, the size of the observed differences is correct and option two is also correct the alpha level because alpha level is a threshold for determining the statistical significance it represent the probability of making the type one error.
00:40
So, commonly use alpha level are 0 .05 and 0 .01 and the third one is also correct the choices of one or two tailed test because the choices of one or two tailed test is depend upon the directionality of the research hypothesis.
00:55
So, a one -tailed test is used when research is specifically interested in difference in one direction for example, greater than or the less than and while the two -tailed test is used when the research is interested in any significant differences regardless of the direction.
01:12
Now, the fourth one is also the correct that is a sample size because the larger sample size generally provide a greater statistical power making it more likely to detect the significant differences between the means and the fourth one all of the above this is a correct answer all options are correct therefore answer is fifth that is all of the above.
01:35
Now, the third one second one to find the whenever the f -test from anova is non -significant...