## How do you explain a paired samples t-test?

The Paired Samples t Test compares the means of two measurements taken from the same individual, object, or related units. These “paired” measurements can represent things like: A measurement taken at two different times (e.g., pre-test and post-test score with an intervention administered between the two time points)

### What is the inferential objective of a paired t-test?

A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features.

**What is the purpose of a sample t-test?**

What is the one-sample t-test? The one-sample t-test is a statistical hypothesis test used to determine whether an unknown population mean is different from a specific value.

**What is the purpose of a two 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 is the difference between paired and two 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.

### Which syntax is used for paired t-test in R?

We need either of the two vectors of data, y1 and y2, to conduct a paired-samples test. Then, we will run this code using this using syntax t. test(y1, y2, paired=TRUE).

**What is a one sample t-test example?**

A one sample test of means compares the mean of a sample to a pre-specified value and tests for a deviation from that value. For example we might know that the average birth weight for white babies in the US is 3,410 grams and wish to compare the average birth weight of a sample of black babies to this value.

**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 difference between paired and two-sample t test?

### 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.