I have a problem. I don't know how I cloud explain which of the three statements appears to be true and if my calculation below is invalid?`

The following table summarizes the results of a medical survey where two groups of
people were observed: one group consists of people who regularly drink tea, but no
coffee. The people in the other group drink coffee but no tea. It was observed which of
the people had good teeth and which ones had bad teeth1.

[![Association Mining](https://i.stack.imgur.com/elBOw.png)](https://i.stack.imgur.com/elBOw.png)

We study the association of the attributes "Tea" and "Good Teeth" and assume a minimum
support threshold of 40% and a minimum confidence threshold of 70%.

Calculation

```
1. "Drink tea => good teeth" 
Support(Drink tea => good teeth) = 0,4
Confience(Drink tea => good teeth) = 0,8
Lift(Drink tea => good teeth) = 1,33

2. "good teeth => drink tea".
Support(good teeth => drink tea) = 0,4
Confience(good teeth => drink tea) = 0,66
Lift(good teeth => drink tea) = 0,625

```

Now assume that you discover two more studies with the following information:

[![enter image description here](https://i.stack.imgur.com/vz4DM.png)](https://i.stack.imgur.com/vz4DM.png)

consider the following statements:

1. Tea improves dental health.
2. Coffee improves dental health.
3. No conclusion can be made whether tea or coffee influence dental health.

Please explain which of the three statements appears to be true. In particular, explain
what this says about your results from the part above. Does it mean they are invalid?

Thinking

```
I think it is the 1) statement, because all the people who are trinking tea have 0,8 good teeths. 
And my results are not invalid.

```

But for me there is missing a "good" explanation with a small calculation.
[![enter image description here](https://i.stack.imgur.com/C8Twd.png)](https://i.stack.imgur.com/C8Twd.png)