00:01
Okay, so i see that you need help with this question.
00:04
And so it says, dr.
00:05
Rob has developed a new drug that believes that he can cure zombieism and stop zombie apocalypse.
00:11
Stop the zombie apocalypse.
00:14
To test his new drug, he captures 30 zombies and randomly separates them into groups.
00:19
One group receives his new drug and the other receives a placebo.
00:23
Placebo.
00:25
What type of t -test would you use to see if the new drug had significant effect? so given that dr.
00:34
Rob is comparing the means of two independent groups, one receiving the drug and the other receiving the placebo, an independent samples t -test known as an independent t -test, so an independent t -test, also known, so is appropriate for this scenario.
00:56
This test is used to determine if there's a significant difference between the means of the two unrelated groups.
01:03
So it wants you to formulate a statistical hypothesis.
01:07
So the null hypothesis states that there is no difference between the, in the mean level of zombie -ism, in mean level level of zombieism compared to the placebo group.
01:34
And then the alternative hypothesis suggests that there is a difference.
01:41
There is a difference.
01:45
Okay.
01:49
And so then, given the following data, it wants you to first figure out what the degrees of freedom for this problem is and for the degrees of freedom what you have to do is you would take 15 plus 15 and then minus 2 so that's 30 minus 2 and so the degrees of freedom is 28 and and what is the critical value to test the problem of one's hypothesis? so in order to, so the critical value, if you have, i don't know why i did the at symbol, but the significance level is 0 .05 with a degree of freedom of 28.
02:43
And that means that your critical value for a one -tailed t -test is 1 negative 1 .701.
02:55
And so taking a look at your t -value chart, the t -value is going to be negative 7 .71, which is less than the critical value of negative 1 .701...