Please answer all this multiple questions (1) The t-test can be used to analyze
ID: 3261911 • Letter: P
Question
Please answer all this multiple questions
(1) The t-test can be used to analyze whether there is a difference between the mean of 1 dependent variable of two independent sample groups.
True
False
(2) What level of measurement does the dependent variable need to be in order to use the t-test?
Interval/Ratio
Nominal
Ordinal
(3) There is a greater risk for Type II error if the t-test is utilized to test the mean differences of more than two sample groups.
True
False
(4) It is essential to determine whether the sample groups are independent from one another before proceeding with calculations.
True
False
(5) If a researcher used the below alternate hypothesis, would it be considered a one- or two-tailed test?
Alternate: There is a difference in side effects between medication A and B.
Two-tailed test
One-tailed test
(6) The ability to find a difference when one actually exists using a number such as 80% is called the what of our study?
Significance
Power
Sampling Error
Alpha
(7) Group one has a mean of 4.18, Group two has a mean of 4.23. Each group has 21 participants. The total degrees of freedom = ?
8.41
21
45
40
(8) Again, Group one has a mean of 4.18, Group two has a mean of 4.23. Each group has 24 participants. Just by looking at the difference between these two means, would you expect the difference between these two groups to be signficant?
Yes becauase there is a HUGE difference between the two means.
No because there is not a big difference in the two means between the two groups.
Explanation / Answer
1) True
The independent t-test, also referred to as an independent-samples t-test, independent-measures t-test or unpaired t-test, is used to determine whether the mean of a dependent variable is the same in two unrelated, independent groups.
2) t–test: independent variable is nominal, but dependent variable is ratio/interval.
3) False
The probability of making a Type I error increases as the number of tests increase.
4) TRue
It is necessary to know that the observations are independent of each other.
5) Two tailed as null always contains equality sign and there is no greater or less than here.