# Would a paired or unpaired t-test be more suitable for this dataset?

I have data that measures the temperature of flowers and leaves on different plant species. These are the comparisons I am trying to make:

1. Comparing the flower and leaf of the same plant at the same time of day
2. Comparing the flower or leaf of a plant to the same flower or leaf at different times of day - on the same plant

My current interpretation is that 1 is an independent statistical test because while they are both on the same individual plant, they are separate "individuals" themselves. For 2 I believe it is a paired test as it is measuring the same flower or leaf at different times of day.

What is confusing me is that I have been taught that if it is the same "individual" then it should be paired, therefore 1 should be a paired test. However my interpretation is that "individual" means something different in the mathematical reality of the tests, where they are seen as different pools in this instance.

Am I correct in my thought? Or completely wrong?

Thank you

Edit: Maybe some clarification to my thought: The difference between my 2 tests is that one uses the same repeated leaf or flower (referring to case 2) at different times of day (therefore it is paired as it is a measurement of the same thing twice at different times). This contrasts with case 1 as this is comparing 2 different objects at the same time of day. The confusion for me comes in when case 1 is still on the same individual - they are related in a way, but I'm unsure if this is relevant to the test.

• Is your goal just to establish that the temperatures are different?
– mkt
Sep 12, 2019 at 10:55
• @mkt Yes. For 1 I want to establish if the flower and leaf are different temperatures from eachother. Then for 2 I want to establish if the flower or leaf change temperatures as evening arrives. They are both on the same plant (which is where I'm confused whether it is paired or not, due to them being on the same plant). Sep 12, 2019 at 12:58