# 1. Introduction

This R program performs a t-test, which 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. It’s most commonly used when the data sets, like those being analyzed with a t-test, have a normal distribution but unknown variances.

# 2. Program Steps

1. Define two sample groups.

2. Perform a t-test to compare the means of the two groups.

3. Print the results of the t-test.

# 3. Code Program

``````# Step 1: Define two sample groups
group1 <- c(20, 21, 22, 23, 24)
group2 <- c(22, 23, 24, 25, 26)

# Step 2: Perform a t-test
t_test_result <- t.test(group1, group2)

# Step 3: Print the results of the t-test
print("T-test results:")
print(t_test_result)

``````

### Output:

```T-test results:
[T-test output including statistics and p-value]
```

### Explanation:

1. group1 <- c(20, 21, 22, 23, 24), group2 <- c(22, 23, 24, 25, 26): Initialize two vectors representing the sample groups.

2. t_test_result <- t.test(group1, group2): Conducts a t-test comparing the means of the two groups.

3. print("T-test results:"), print(t_test_result): Prints the results of the t-test, including the t-statistic, degrees of freedom, and p-value.