What is the difference between a t test for independent samples and a t test for dependent samples?

The independent samples t-test compares two independent groups of observations or measurements on a single characteristic. The independent samples t-test is the between-subjects analog to the dependent samples t-test, which is used when the study involves a repeated measurement (e.g., pretest vs.

What are the assumptions of an independent samples t test?

Assumptions

Independence of the observations. Each subject should belong to only one group.
No significant outliers in the two groups.
Normality. the data for each group should be approximately normally distributed.
Homogeneity of variances. the variance of the outcome variable should be equal in each group.

What are the assumptions for a two sample t test?

Two-sample t-test assumptions

Data values must be independent.
Data in each group must be obtained via a random sample from the population.
Data in each group are normally distributed.
Data values are continuous.
The variances for the two independent groups are equal.

What are the assumptions of a paired t test?

The paired sample t-test has four main assumptions:

The dependent variable must be continuous (interval/ratio).
The observations are independent of one another.
The dependent variable should be approximately normally distributed.
The dependent variable should not contain any outliers.

What is the P value in a 2 sample t test?

It produces a “p-value”, which can be used to decide whether there is evidence of a difference between the two population means. The p-value is the probability that the difference between the sample means is at least as large as what has been observed, under the assumption that the population means are equal.

Can you find P value in Excel?

As stated earlier, there are two ways to get the p-value in Excel: t-Test tool in the analysis toolpak. The ‘T. TEST’ function.১১ মে, ২০২০

What if P value is less than alpha?

If your p-value is less than your selected alpha level (typically 0.05), you reject the null hypothesis in favor of the alternative hypothesis. If the p-value is above your alpha value, you fail to reject the null hypothesis.২২ ফেব, ২০১৭

What p value is needed to reject the null hypothesis?

If the p-value is less than 0.05, we reject the null hypothesis that there’s no difference between the means and conclude that a significant difference does exist. If the p-value is larger than 0.05, we cannot conclude that a significant difference exists.৩ ডিসেম্বর, ২০১৫