What is a paired t-test used for?

The paired t-test is a method used to test whether the mean difference between pairs of measurements is zero or not.

How do you know whether to use an independent samples or paired samples t-test?

Both check to see if a difference between two means is significant. Paired-samples t tests compare scores on two different variables but for the same group of cases; independent-samples t tests compare scores on the same variable but for two different groups of cases.

When should a paired t-test be performed instead of a two-sample t-test?

3.3 Differences between the two-sample t-test and paired t-test. As discussed above, these two tests should be used for different data structures. Two-sample t-test is used when the data of two samples are statistically independent, while the paired t-test is used when data is in the form of matched pairs.

What is the difference between one sample t test and paired t-test?

An Independent Samples t-test compares the means for two groups. A Paired sample t-test compares means from the same group at different times (say, one year apart). A One sample t-test tests the mean of a single group against a known mean.

Should I use paired or unpaired t-test?

Paired t-tests are considered more powerful than unpaired t-tests because using the same participants or item eliminates variation between the samples that could be caused by anything other than what’s being tested.

When might you use a related sample versus an independent sample?

Therefore, it’s important to know whether your samples are dependent or independent: If the values in one sample affect the values in the other sample, then the samples are dependent. If the values in one sample reveal no information about those of the other sample, then the samples are independent.

Should I use one sample or two-sample t-test?

If you are studying one group, use a paired t-test to compare the group mean over time or after an intervention, or use a one-sample t-test to compare the group mean to a standard value. If you are studying two groups, use a two-sample t-test. If you want to know only whether a difference exists, use a two-tailed test.

Why would you use a one-sample t-test?

The one-sample t-test is used when we want to know whether our sample comes from a particular population but we do not have full population information available to us. For instance, we may want to know if a particular sample of college students is similar to or different from college students in general.

Is a paired t-test dependent or independent?

Dependent
The purpose of the test is to determine whether there is statistical evidence that the mean difference between paired observations is significantly different from zero. The Paired Samples t Test is a parametric test. This test is also known as: Dependent t Test.

Why would you choose to use an independent samples design or a paired samples repeated measures design?

The advantage of this is that individual differences between participants are removed as a potential confounding variable. Repeated measures also requires fewer participants, as data from all conditions is from the same group of participants.

When the subjects are paired or matched in some way samples are considered to be?

Two samples are dependent(or consist of matched pairs) if the members of one sample can be used to determine the members of the other sample.

When should a paired t-test be performed quizlet?

A paired​ t-test should be performed when the variable of interest is​ quantitative, there are two groups being​ compared, and the samples taken are dependent.

Why do we prefer dependent samples over independent samples?

Why do we prefer dependent samples over independent samples? Dependent sample test are more sensitive to detecting true differences that are being tested in the null. Because dependent samples eliminate variation due to factors not being tested by the null.

What type of variables are utilized in a paired samples t-test?

The paired samples t-test is used when: The dependent variable is quantitative in nature. The independent variable is qualitative in nature, that is, the levels represent different categories. The independent variable has two and only two levels.

What are the disadvantages of using a paired samples t-test?

However, a paired t-test comes with the following potential cons: The potential for sample size reduction. If an individual drops out of the study, the sample size of each group is reduced by one since that individual appears in each group. The potential for order effects.

What is one indication that there are paired samples in a data set?

What is one indication that there are paired samples in a data​ set? Each observation in one group is coupled with one particular observation in the other group.

What are the assumptions for a paired t-test select all that apply?

The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality of data distribution, adequacy of sample size, and equality of variance in standard deviation.

What are the advantages of a paired samples design?

The advantages of paired samples t over other analytic approaches is that the research design requires fewer subjects and allows an examination of change over time. Like other methods, though, there are some assumptions that should be met when using the paired samples t test.

What is an advantage of using a matched pair or dependent samples design over an independent samples design?

The major advantage of choosing a repeated-measures design (and therefore, running a dependent t-test) is that you get to eliminate the individual differences that occur between participants – the concept that no two people are the same – and this increases the power of the test.

What is the difference between paired and unpaired samples?

The key difference between both of them is that in paired t-test you compare the paired measures that match deliberately. Whereas in unpaired t-test you compare the means of two samples that have no natural pairing.

Why would a researcher use a matched pairs design?

With the use of the matched pairs design, researchers can improve the comparability of their study participants despite their smaller sample size, increasing the validity of the cause-and-effect relationship identified in the experiment.

What is the benefit of using a matched pairs in an experiment?

After pairs are established, one participant from each pair is randomly assigned to one treatment condition and the other participant to the other treatment condition. 6. The primary advantage of the matched pairs design is to use experimental control to reduce one or more sources of error between the groups.