Can you use t-test with different sample sizes?
The t-test is not dependent on equal, similar, or even close sample sizes. A t-test can be done with any sample sizes.
Can you do two sample t tests with unequal sample sizes?
You can perform the two-sample t-test if its assumptions are met. Even though you can perform a t-test when the sample size is unequal between two groups, it is more efficient to have an equal sample size in two groups to increase the power of the t-test.
Can the independent samples t-test be used when samples differ in size?
It assumes your data is i.i.d. (independent and identically distributed) and comes from a normal distribution. If you care to compare the means of the two groups (and they follow the assumptions), then yes – you can use that test.
How do you compare two samples with different sizes?
One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of of difference. THis will measure how many sets from the Nset are in close match with the single 4 sample set.
Can you run ANOVA with unequal sample sizes?
The short answer: Yes, you can perform a one-way ANOVA when the sample sizes are not equal. Equal sample sizes is not one of the assumptions made in an ANOVA.
Can you compare unequal sample sizes?
According to Keppel (1993), there is no good rule of thumb for how unequal the sample sizes need to be for heterogeneity of variance to be a problem. So if you have equal variances in your groups and unequal sample sizes, no problem. If you have unequal variances and equal sample sizes, no problem.
Why are unequal sample sizes a problem?
Unequal sample sizes can lead to: Unequal variances between samples, which affects the assumption of equal variances in tests like ANOVA. Having both unequal sample sizes and variances dramatically affects statistical power and Type I error rates (Rusticus & Lovato, 2014). A general loss of power.
Can you use ANOVA with unequal sample sizes?
Can I use ANOVA for unequal sample sizes?
What is the difference between t-test equal variance and unequal variance?
The Two-Sample assuming Equal Variances test is used when you know (either through the question or you have analyzed the variance in the data) that the variances are the same. The Two-Sample assuming UNequal Variances test is used when either: You know the variances are not the same.
When to use an independent t test?
You want to know if two groups are different on your variable of interest
When to use one sample t test?
One Sample t Test. The One Sample t Test examines whether the mean of a population is statistically different from a known or hypothesized value.
What is an example of a single sample t test?
Single Sample T-Test Example. Group 1: Received the experimental medical treatment. Population Value: On average in the population, it takes 12 days to recover from the disease Variable of interest: Time to recover from the disease in days. In this example, group 1 is our treatment group because they received the experimental medical treatment.
What is an example of an independent t test?
The one-step test can be used to screen for the three conditions simultaneously, by looking at the number of chemical modifications or marks called methylation added to affected genes, which are not present at such high or low levels in children without these disorders.