For example, you could use a dependent t-test to understand whether there was a difference in smokers' daily cigarette consumption before and after a 6 week hypnotherapy programme (i.e., your dependent variable would be “daily cigarette consumption”, and your two related groups would be the cigarette consumption values ...
What is an example of an independent t-test?
For example, you could use an independent t-test to understand whether first year graduate salaries differed based on gender (i.e., your dependent variable would be “first year graduate salaries” and your independent variable would be “gender”, which has two groups: “male” and “female”).
What is a dependent sample t-test?
The dependent sample t-test is a member of the t-test family. ... The dependent sample t-test is used when the observations or cases in one sample are linked with the cases in the other sample . This is typically the case when repeated measures are taken, or when analyzing similar units or comparable specimen.
What is an example of a paired t-test?
A paired t-test is used when we are interested in the difference between two variables for the same subject. Often the two variables are separated by time. For example, in the Dixon and Massey data set we have cholesterol levels in 1952 and cholesterol levels in 1962 for each subject.
What is the difference between a dependent and independent samples t-test?
Dependent samples are paired measurements for one set of items. Independent samples are measurements made on two different sets of items. ... If the values in one sample reveal no information about those of the other sample , then the samples are independent.
What is a dependent t-test used for?
The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure used to determine whether the mean difference between two sets of observations is zero . In a paired sample t-test, each subject or entity is measured twice, resulting in pairs of observations.
What is another name for dependent tests?
The dependent t-test (also called the paired t-test or paired-samples t-test ) compares the means of two related groups to determine whether there is a statistically significant difference between these means.
What are the 3 types of t-tests?
- One sample t-test.
- Independent two-sample t-test.
- Paired sample t-test.
What is a two independent sample t-test?
The two-sample t-test (also known as the independent samples t-test) is a method used to test whether the unknown population means of two groups are equal or not.
What are the assumptions of t-test?
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 is the difference between a paired t-test and a 2 sample t-test?
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. ... However, if we have n matched pairs, the actual sample size is n (pairs) although we may have data from 2n different subjects.
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.
What is the Z test?
Z-test is a statistical test to determine whether two population means are different when the variances are known and the sample size is large. Z-test is a hypothesis test in which the z-statistic follows a normal distribution. A z-statistic, or z-score, is a number representing the result from the z-test.
What is an example of a dependent?
The definition of dependent is relying on someone or something else, or a clause that cannot stand alone as a sentence. An example of dependent is a child to a parent . An example of dependent is “when the rain fell.” ... An example of a dependent is the child of a man.
How do you know if data is independent in statistics?
Events A and B are independent if the equation P(A∩B) = P(A) · P(B) holds true . You can use the equation to check if events are independent; multiply the probabilities of the two events together to see if they equal the probability of them both happening together.
