run t-test on my data

[mwamsy]

Anyone to help with analysis. I would like to know if the two datasets are statistically different or not
Area Recent Previous
1 A 1629.2 2627.2
2 B 5171.9 6759.7
3 C 29157.7 43021.5
4 D 16723.3 25762.5
5 E 25019.9 46898.5

[williaml]

Hi,

df <- tibble::tribble(
        ~Area, ~Recent, ~Previous,
          "A",  1629.2,    2627.2,
          "B",  5171.9,    6759.7,
          "C", 29157.7,   43021.5,
          "D", 16723.3,   25762.5,
          "E", 25019.9,   46898.5
        )


t.test(df$Recent, df$Previous, paired = TRUE)

Have a read on interpreting the results: t-Tests (berkeley.edu)

Note: edited following @FJCC's comment

Also, next time have a look at this in terms of reproducible examples

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[FJCC]

The column names of Recent and Previous makes me wonder if the paired argument should be set to TRUE.

t.test(df$Recent, df$Previous, paired = TRUE)